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1. Assessing Diagnostic Accuracy of Doctors Without a Gold Standard using Bayesian Networks and Kmodes Dlustering Algorithm

Author: Parisa Niloofar, Parastoo Niloofar, and Mehdi Yaseri
Subjects: Bayesian networks, Cluster Analysis, Diabetic Retinopathy, Humans, Sensitivity, Biology (General), QH301-705.5, Probabilities. Mathematical statistics, QA273-280
Abstract: Background & Aim: The diagnostic accuracy of a test is the ability to discriminate accuratelybetween patients who have and do not have the target disease. A common problem in assessing thediagnostic accuracy of doctors is the unknown true disease status which in the literature is referredas “absence of a gold standard”. Methods & Material: In this article, a Naïve Bayesian network with hidden class node and a clusteringbased algorithm for categorical data named K-modes are proposed for estimating the diagnosticaccuracy of 5 physicians in diagnosing Diabetic Retinopathy. Also to assess and compare the efficiencies of these models, a simulation study with two different scenarios is conducted. Results: Simulation study indicates that for Naïve Bayesian network and the non-rare disease, say forprevalence 0.1 and 0.2, as the sample size increases so the coverage probability. But for high prevalencevalues, say 0.5, coverage probabilities are not as good as those of non-rare disease. K-modes algorithm's efficiency decreases by the increase in the number of records, but it achieves betterresults when there are a small number of records, prevalence is approximately 0.3 and sensitivitiesare high. Results of the real data set reveal that sensitivities for all physicians except one, were higher than 85% and all specificities were higher than 90%. Also the estimated prevalence happensto be 0.32. Conclusion: Through simulations and data analysis we show that this new approach based on Naïve Bayesian networks provides a useful alternative to traditional latent class modeling approaches usedin this setting.
Published: 2019

2. Experiences of Treatment With Contact Lenses in Aphakic Children With Unilateral Congenital Cataract: A Retrospective Study

Author: Abdolreza M. Kooshki, Ashkan M. Kooshki, Mehdi Yaseri, Leila Nouri, and Fateme Alipour
Subjects: Male, Ophthalmology, Contact Lenses, Infant, Newborn, Humans, Infant, Female, Aphakia, Postcataract, Cataract Extraction, Child, Cataract, Follow-Up Studies, Retrospective Studies
Abstract: Congenital cataract is a condition compromising the eye's crystalline lens in infants and is usually diagnosed at birth. It can lead to irreversible vision loss if not promptly detected and treated, especially in unilateral cases. Nowadays, children with congenital cataracts can undergo surgical removal of their opacified crystalline lenses, and visual rehabilitation is mandatory to prevent deep amblyopia. Contact lenses, predominantly of rigid gas-permeable (GP) type, are gaining more popularity for this matter.In this retrospective cohort study, unilateral aphakic children younger than 6 years referred to the Contact Lens Clinic at Farabi Eye Hospital from November 2011 to September 2019 were included.Seventy-six unilateral aphakic children with congenital cataracts (57.9% boys and 42.1% girls) rehabilitated with GP were studied. The mean age of diagnosis and referral to the contact lens clinic were 20.0±19.8 and 32.0±24.4 weeks, respectively, while the mean follow-up time was 12.44±26.28 months. The mean visual acuity for children capable of cooperating at the last follow-up was 0.98±0.62 log MAR. Among the participants, eight children (9.7%) were diagnosed as glaucoma suspects. The mean initial base curve and power of GP lenses were 7.86±0.39 mm and 23.29±5.52 diopters, respectively. Only 21 parents (27.6%) reported nonadherence to the scheduled part-time patch program.The results of this study showed GP-based optical treatment after early diagnosis, surgical removal of congenital cataracts, and a long-term close follow-up to be well tolerated by children and their parents, with acceptable parents' compliance and can thus be introduced as a safe and effective method to achieve desirable visual outcomes.
Published: 2022

3. The effect of educational intervention on nutritional behavior in pregnant women based on social cognitive theory

Author: Zohreh Arefi, Roya Sadeghi, Davoud Shojaeizadeh, Mehdi Yaseri, and Shirin Shahbazi Sighaldeh
Subjects: Adult, Young Adult, Pregnancy, Health Behavior, Pediatrics, Perinatology and Child Health, Parturition, Humans, Obstetrics and Gynecology, Female, Pregnant Women, Psychological Theory, Self Efficacy
Abstract: One of the key issues for women's health is pregnancy. Healthy nutrition during pregnancy is a reliable guarantee for proper pregnancy and childbirth. This study sought to determine the impact of an educational intervention based on social cognitive theory on the nutritional behavior of pregnant women in Iran.This randomized controlled trial study was carried out in women of reproductive age in Iran, from February to April 2020. The samples were divided into experimental (The mean age of the women was 28.11 ± 6.54 and 28.83 ± 6.62 years in the intervention and control groups, respectively. The results of the Structural Equation Model showed that direct effect of self-efficacy, self-regulation, and mutual determinants on behavior were significant. After the educational intervention, nutritional behavior in the experimental group was increased significantly. Also, there was a significant difference between two groups in structures such as outcome expectations, outcome value, self-efficacy and knowledge. But there was no significant increase in the self-regulation and social support after educational intervention.Social cognitive theory as a theoretical framework is able to predict healthy eating behavior during pregnancy. Also educational intervention based on the structures of social cognitive theory, improved the behavior of pregnant mothers. Educational intervention based on social cognitive theory and providing simple and understandable training packages for pregnant women is recommended.
Published: 2022

4. Effects of naringenin supplementation on cardiovascular risk factors in overweight/obese patients with nonalcoholic fatty liver disease: a pilot double-blind, placebo-controlled, randomized clinical trial

Author: Helda Tutunchi, Mohammad Javad Hosseinzadeh-Attar, Zahra Namkhah, Siavash Mansouri, Fatemeh Naeini, Mehdi Yaseri, and Seyed Mahdi Rezayat
Subjects: Naringenin, medicine.medical_specialty, Mean corpuscular hemoglobin, Overweight, Placebo, Gastroenterology, law.invention, chemistry.chemical_compound, Double-Blind Method, Randomized controlled trial, Non-alcoholic Fatty Liver Disease, Risk Factors, law, Internal medicine, Nonalcoholic fatty liver disease, medicine, Humans, Obesity, Hepatology, Triglyceride, medicine.diagnostic_test, Mean corpuscular hemoglobin concentration, business.industry, medicine.disease, chemistry, Cardiovascular Diseases, Heart Disease Risk Factors, Dietary Supplements, Flavanones, medicine.symptom, business
Abstract: OBJECTIVE Although several experimental models have suggested promising pharmacological effects of naringenin in the management of obesity and its related disorders, the effects of naringenin supplementation on cardiovascular disorders as one of the main complications of nonalcoholic fatty liver disease (NAFLD) are yet to be examined in humans. METHODS In this double-blind, placebo-controlled, randomized clinical trial, 44 overweight/obese patients with NAFLD were equally allocated into either naringenin or placebo group for 4 weeks. Cardiovascular risk factors including atherogenic factors, hematological indices, obesity-related parameters, blood pressure, and heart rate were assessed pre- and postintervention. RESULTS The atherogenic index of plasma value, serum non-HDL-C levels as well as total cholesterol/high-density lipoprotein cholesterol (HDL-C), triglyceride/HDL-C, low-density lipoprotein cholesterol/HDL-C, and non-HDL-C/HDL-C ratios were significantly reduced in the intervention group, compared to the placebo group post intervention (P < 0.05). Moreover, there was a significant reduction in BMI and visceral fat level in the intervention group when compared with the placebo group (P = 0.001 and P = 0.039, respectively). Furthermore, naringenin supplementation could marginally reduce systolic blood pressure (P = 0.055). Mean corpuscular hemoglobin increased significantly in the naringenin group compared to the placebo group at the endpoint (P = 0.023). Supplementation with naringenin also resulted in a marginally significant increase in the mean corpuscular hemoglobin concentration when compared with the placebo group (P = 0.050). There were no significant between-group differences for other study outcomes post intervention. CONCLUSION In conclusion, these data indicate that naringenin supplementation may be a promising treatment strategy for cardiovascular complications among NAFLD patients. However, further trials are warranted.
Published: 2021

5. Factors associated with treatment adherence to treatment among in patients with type 2 diabetes in Iran: A cross-sectional study

Author: Nasrin, Pourhabibi, Bahram, Mohebbi, Roya, Sadeghi, Elham, Shakibazadeh, Mojgan, Sanjari, Azar, Tol, and Mehdi, Yaseri
Subjects: Glycated Hemoglobin, Treatment Adherence and Compliance, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Public Health, Environmental and Occupational Health, Humans, Iran, Medication Adherence
Abstract: IntroductionDiabetes is a chronic metabolic disorder that affects millions of people worldwide. Adherence to treatment is a key determinant to proper management. This study aimed to assess the factors associated treatment adherence in patients with type 2 diabetes.Materials and methodsWe conducted this cross-sectional study on 704 patients with type 2 diabetes referred to three diabetes clinics in Kerman, Iran. We used treatment adherence questionnaire and functional communicative critical health literacy (FCCHL) to collect data and descriptive statistics, as well as Pearson correlation coefficient and multivariate regression analysis to analyze data. Significance level was ResultsThe study results showed that health literacy, HbA1c, and income were main predictors of diabetes treatment adherence. The patients' adherence increased as their health literacy increased. The patients' HbA1c decreases as their adherence increased. We found a 2.54-point increase in the treatment adherence score for those with sufficient income and a 0.76-point increase in the treatment adherence score for those with relatively sufficient income compared with those with insufficient income.ConclusionWe found several factors affecting diabetes treatment adherence. Planning theory-based interventions can be helpful to improve the determinants.
Published: 2022

6. Métodos de correção para medição sem contato da pressão intraocular em indivíduos normais e com ceratocone

Author: Azam Alvani, Hassan Hashemi, Mohammad Pakravan, Mehdi Yaseri, Ebrahim Jafarzadehpur, and Akbar Fotouhi
Subjects: Paquimetria corneana, genetic structures, Manometry, Intraocular pressure, Noncontact tonometry, General Medicine, Ceratocone, RE1-994, Keratoconus, eye diseases, Biomechanical Phenomena, Córnea, Cornea, Tonometry, Ocular, Ophthalmology, Corneal pachymetry, Pressão intraocular, Tonometria sem contato, Humans, sense organs
Abstract: Purpose: The objective of this study was to investigate the usefulness of four different algorithms to correct noncontact intraocular pressure measurement errors in keratoconus patients and normal individuals. Methods: Noncorrected intraocular pressure and corrected intraocular pressures were measured in one eye of 34 patients with keratoconus and 34 age- and gender-matched healthy controls using Corvis Scheimpflug Technology. The correlation of noncorrected intraocular pressure and corrected intraocular pressures with age, axial length, corneal shape, thickness, and biomechanics was calculated. Corrected intraocular pressures were compared with noncorrected intraocular pressure using paired t test and Bland-Altman plots (95% limits of agreement). Results: The noncorrected intraocular pressure correlated with corneal thickness and biomechanical parameters in both groups (all p≤0.047), and front and back mean keratometry in the keratoconus group (r=-0.39, p=0.02, and r=0.39, p=0.02, respectively). After adjustment with different intraocular pressure correction algorithms, biomechanically corrected intraocular pressure showed a minimal correlation with corneal features and a nonsignificant difference with noncorrected intraocular pressure in the healthy group (-0.1 ± 1.1 mmHg, p=0.58; 95% limits of agreement: -2.3 to 2.1 mmHg). Conclusions: Measuring intraocular pressure using noncontact tonometry and its corrected forms with a corneal thickness-based simple linear formula in patients with keratoconus is associated with many errors. Using more complex formulas that take into consideration more corneal stiffness parameters in addition to corneal thickness, such as biomechanically corrected intraocular pressure formula, may be more reliable and beneficial in this group of patients. RESUMO Objetivo: Investigar a utilidade de quatro algoritmos diferentes para corrigir erros de medição sem contato da pressão intraocular em pacientes saudáveis e com ceratocone. Métodos: A pressão intraocular não corrigida e as pressões intraoculares corrigidas foram medidas em um olho de 34 pacientes com ceratocone e 34 pacientes do grupo controle saudável pareados por idade e gênero usando a tecnologia Corvis Scheimpflug. Foi calculada a correlação da pressão intraocular não corrigida e das pressões intraoculares corrigidas com idade, comprimento axial e formato, espessura e biomecânica da córnea. As pressões intraoculares corrigidas foram comparadas com a pressão intraocular não corrigida usando o teste t pareado, e gráficos de Bland-Altman (limites de concordância de 95%). Resultados: A pressão intraocular não corrigida correlacionou-se com a espessura da córnea e com os parâmetros biomecânicos em ambos os grupos (todos p≤0,047) e a ceratometria média frontal e posterior no grupo com ceratocone (r=-0,39, p=0,02, r=0,39, p=0,02, respectivamente). Após o ajuste com diferentes algoritmos de correção da pressão intraocular, a pressão intraocular corrigida biomecanicamente revelou uma correlação mínima com as características da córnea e uma diferença não significativa com a pressão intraocular não corrigida no grupo saudável (-0,1 ± 1,1 mmHg, p=0,58; limites de concordância de 95%: -2,3 a 2,1 mmHg). Conclusões: A medição da pressão intraocular usando tonometria sem contato e suas formas corrigidas usando fórmulas lineares, simples, baseadas na espessura da córnea em pacientes com ceratocone estão associadas a muitos erros. O uso de fórmulas mais complexas que consideram mais parâmetros de rigidez da córnea além da espessura da córnea, como fórmula de pressão intraocular corrigida biomecanicamente, pode ser mais confiável e benéfico neste grupo de pacientes.
Published: 2022

7. Lack of Association between Monocyte Chemoattractant Protein-1 (MCP-1) Gene Promoter Polymorphism and Behcet’s Disease with and without Ocular Involvement in Iranian Population: A Case–Control Study

Author: Maryam Ghaffari Laleh, Mehdi Yaseri, Mohammad Hossein Jabbarpoor Bonyadi, Elham Shahriyari, Masoud Soheilian, and Mortaza Bonyadi
Subjects: medicine.medical_specialty, Genotype, Behcet's disease, Disease, Iran, Polymorphism, Single Nucleotide, Gastroenterology, Cellular and Molecular Neuroscience, Gene Frequency, Polymorphism (computer science), Internal medicine, medicine, Humans, Genetic Predisposition to Disease, Allele frequency, Chemokine CCL2, business.industry, Behcet Syndrome, Case-control study, Promoter, Odds ratio, medicine.disease, eye diseases, Sensory Systems, Ophthalmology, Case-Control Studies, business
Abstract: PURPOSE This case-control study aimed to evaluate the possible association of MCP-1 - 2518A/G genetic polymorphism with Behcet's disease (BD) in the Iranian patients. MATERIALS AND METHODS This study was performed in 135 Behcet's patients (51 ocular and 84 non-ocular) and 79 healthy individuals. Peripheral blood samples were genotyped for MCP-1 - 2518A/G using the PCR-RFLP technique. RESULTS The statistical analysis of MCP-1 - 2518A/G showed no significant differences in genotype/allele frequencies between Behcet's patients and controls. There was no significant association in genotype/allele frequencies between either ocular or non-ocular BD patients and controls. Also, different genotype/allele frequencies between ocular and non-ocular BD were not statistically significant. CONCLUSIONS In this study, with a threshold P-value of 0.05 and an estimated power of 0.81 to detect a significant association (odds ratio ≥1.2), we did not observe any association of this variant with Behcet's disease.
Published: 2021

8. Mini vitrectomy as an alternative technique for intraocular pressure adjustment in non-drainage scleral buckling

Author: Alireza Ramezani, Morteza Entezari, Shahram Banaie, Alireza Norouzi, and Mehdi Yaseri
Subjects: Adult, Scleral Buckling, Treatment Outcome, Vitrectomy, Retinal Detachment, Visual Acuity, Humans, General Medicine, Middle Aged, Intraocular Pressure, Aged, Retrospective Studies
Abstract: Purpose In non-drainage scleral buckling, anterior chamber paracentesis is usually carried out to decrease intraocular pressure. When the buckling is extensive however, this technique may be inefficient and time consuming. In this study, we tried to determine if a mini 25-gauge pars plana vitrectomy could be used as an efficient and safe alternative procedure to anterior chamber paracentesis for adjusting intraocular pressure during a non-drainage scleral buckling. Methods In this case series, 44 patients with rhegmatogenous retinal detachment (proliferative vitreoretinopathy stage < C) were included. In all cases, a mini 25-gauge pars plana vitrectomy was performed before buckle fixation and repeated if necessary. Complete retinal attachment was defined as the anatomical success. Results Forty-four eyes of 44 patients with mean age of 48.1 ± 18.2 years were included. Silicon buckle nº 276, sponge 505, and sponge 507 were utilized for 7, 34, and 3 eyes, respectively. Intravitreal injection of SF6 gas was performed for 54.5% of the eyes. Mean total time of the operation was 61 ± 16 min and the mean time for vitrectomy was 87 ± 31 s. Complete retinal attachment in 37 and incomplete attachment in 4 eyes were achieved after single operation that was a success rate of 93.2%. One had more than usual vitreous leak at the site of scleretomy and one developed a tiny vitreous hemorrhage at the sclerotomy site. Three sclerotomy sites needed suturing. Conclusion The anatomical outcome and the safety observed in this study were comparable to the current methods reported in the literature. Therefore, if anterior chamber paracentesis fails to adjust intraocular pressure during a non-drainage scleral buckling, performing a small gauge mini vitrectomy is safe and helpful.
Published: 2022

9. Intervention to Improve Menstrual Health Among Adolescent Girls Based on the Theory of Planned Behavior in Iran: A Cluster-randomized Controlled Trial

Author: Fatemeh Darabi and Mehdi Yaseri
Subjects: Schools, Adolescent, Theory of Planned Behavior, Public Health, Environmental and Occupational Health, Humans, Reproducibility of Results, Iran, Health Education
Abstract: Objectives: Poor menstrual health may lead to school absenteeism and adverse health outcomes for adolescents. The purpose of this study was to determine the effect of pubertal and menstrual health education on health and preventive behaviors among Iranian secondary school girls.Methods: A quasi-experimental study was conducted to evaluate the effectiveness of a health intervention program. A total of 578 students (including intervention and control participants) in 12 schools in Tehran Province, Iran were included by multistage random sampling. The program comprised seven 2-hour educational sessions. After confirming the reliability and validity of a researcher-made questionnaire, that questionnaire was used to collect the required data, and the groups were followed up with after 6 months.Results: After the educational intervention, the mean scores of menstrual health-related knowledge and constructs of the theory of planned behavior were significantly higher in the intervention group than in the control group (p
Published: 2022

10. Evaluation of the recovery after heart surgery following preoperative supplementation with a combination of beta-hydroxy-beta-methylbutyrate, l-arginine, and l-glutamine: a double-blind randomized placebo-controlled clinical trial

Author: Mona, Norouzi, Azadeh, Nadjarzadeh, Majid, Maleki, Sayyed Saeid, Khayyatzadeh, Saeid, Hosseini, Mehdi, Yaseri, and Hamed, Fattahi
Subjects: Adult, Glutamine, Medicine (miscellaneous), Bilirubin, Stroke Volume, Middle Aged, Arginine, Troponin, Ventricular Function, Left, Dietary Supplements, Valerates, Humans, Pharmacology (medical), Cardiac Surgical Procedures, Aged
Abstract: Background The preoperative period is a good time to improve nutrition status, compensate for nutrient deficiencies, and optimize immune function in patients’ underlying surgery. In some medical conditions, supplementation with a combination of l-glutamine (Gln), β-hydroxy-β-methylbutyrate (HMB), and l-arginine (Arg) had promising effects on improving recovery. The present study aimed to evaluate the effect of supplementation with Gln/Arg/HMB in patients undergoing heart surgery. Methods This randomized clinical trial was conducted on 70 patients undergoing cardiac surgery. Participants were requested to consume 2 sachets of a combination of 7 g l-arginine, 7 g l-glutamine, and 1.5 g daily HMB or placebo 30 days before operation. At the baseline and end of the study, left ventricular ejection fraction and the serum levels of troponin, creatine phosphokinase (CPK), CPK-MB, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and bilirubin were measured. Also, the Sequential Organ Failure Assessment (SOFA) score, time of stay in hospital and intensive care unit (ICU), and postoperative complications were recorded after surgery. Results In total, 60 preoperative patients (30 in each group) with a mean age of 53.13 ± 14.35 years completed the study (attrition rate = 85.7%). Subjects in the Gln/Arg/HMB group had lower serum levels of CPK-MB (median [IQR] = 49 [39.75] vs. 83 [64.55]; P = 0.011), troponin (median [IQR] = 2.13 [1.89] vs. 4.34 [1.99]; P < 0.001), bilirubin (median [IQR] = 0.50 [0.20] vs. 0.40 [0.22]; P < 0.001), and SOFA score (median [IQR] = 2 [2] vs. 5 [2]; P < 0.001) at end of the study compared to the placebo. Also, the time of stay in the hospital (median [IQR] = 5 [1] vs. 6 [3]; P < 0.001) and ICU (median [IQR] = 2.50 [1.00] vs. 3.50 [1.50]; P = 0.002) was lower in the Gln/Arg/HMB group. Conclusion The present study showed that perioperative supplementation with a combination of Gln, Arg, and HMB enhances the recovery, reduces myocardial injury, and decreases the time of hospital and ICU stay in cardiac surgery patients. These results need to be confirmed in a larger trial. Trial registration IRCT.ir IRCT20120913010826N31. Registered on 13 October 2020.
Published: 2022

11. Cost-Benefit Analysis of Human Papillomavirus Vaccine in Iran

Author: Nasrin, Sargazi, Amirhossein, Takian, Rajabali, Daroudi, Azin, Nahvijou, Mehdi, Yaseri, Ali, Ghanbari Motlagh, and Kazem, Zendehdel
Subjects: Cost-Benefit Analysis, Papillomavirus Infections, Humans, Uterine Cervical Neoplasms, Female, Papillomavirus Vaccines, Vaccines, Combined, Iran
Abstract: Despite increasing global attention to the national human papillomavirus (HPV) immunization program, this program is controversial in Iran. Evidence indicates that HPV vaccination is not cost-effective in Iran. Using cost-effectiveness analysis for decision-making about public health interventions such as vaccination is controversial because its potential benefits may not fit this framework. This study aimed to evaluate the economic effects of the HPV vaccination by cost-benefit analysis (CBA) using bivalent and quadrivalent in Iran in 2020. We performed a CBA from a societal perspective. We used two approaches of the vaccine's economic benefits: willingness to pay by discrete choice experiment and cost of illness. Costs only included the vaccine cost. The cost of two doses of bivalent and quadrivalent vaccines were US $29 and the US $151, respectively (US $1 = IRR 42,000). The benefits of bivalent and quadrivalent vaccines were US $ - 432, US $380 per person using the willingness to pay approach, and they were US $7375 and US $6590 thorough cost-of-illness approach. The cost-benefit ratio (CBR) of bivalent and quadrivalent vaccines was - 15.11 and 2.51 by the willingness to pay approach, and 258.12 and 43.51 by the cost of illness approach. This study confirms the benefits of the national bivalent and quadrivalent vaccination programs and provides reliable evidence for policy-makers programming HPV vaccination.
Published: 2022

12. Major dietary patterns and metabolic syndrome associated with severity of coronary artery disease: A structural equation modeling

Author: Kurosh Djafarian, Mohamed Kuhail, Mehdi Yaseri, and Sakineh Shab-Bidar
Subjects: medicine.medical_specialty, Inverse Association, Medicine (miscellaneous), Perceived Stress Scale, Coronary Artery Disease, 030204 cardiovascular system & hematology, Severity of Illness Index, Structural equation modeling, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, Humans, 030212 general & internal medicine, Metabolic Syndrome, Nutrition and Dietetics, medicine.diagnostic_test, business.industry, General Medicine, Anthropometry, medicine.disease, Cross-Sectional Studies, Blood pressure, Latent Class Analysis, Metabolic syndrome, Lipid profile, business
Abstract: Background: The association of dietary patterns and metabolic syndrome with the severity of coronary artery disease (CAD) is little known. Aim: This study aimed to explore the relationship between major dietary patterns and the severity of CAD among newly discovered patients by using structural equation modeling (SEM). Methods: In this cross-sectional study, we included 423 newly diagnosed patients with CAD, aged 35–65 years, who underwent coronary angiography. The severity of CAD was assessed by the Gensini score. All patients were tested by using a semi-quantitative food frequency questionnaire, international physical activity questionnaire, perceived stress scale, lipid profile, fasting blood glucose, and anthropometric and blood pressure measurements. Statistical analysis was performed using SPSS and AMOS version 24. Results: Two dietary patterns (DPs) were identified by principal components analysis and labeled as “unhealthy DP” and “healthy DP”. The results of SEM analysis showed that the unhealthy DP has a significant positive direct association with the severity of CAD (β=0.304, pConclusions: The severity of CAD was directly associated with the unhealthy DP and indirectly mediated by the presence of the metabolic syndrome, while a healthy DP had a direct inverse association with CAD severity and indirectly mediated by the absence of metabolic syndrome.
Published: 2021

13. Dietary Inflammatory Index Is a Better Determinant of Quality of Life Compared to Obesity Status in Patients With Hemodialysis

Author: James R. Hébert, Nitin Shivappa, Elham Alipoor, Nadia Hafizi, Saba Maghsoudi-Nasab, Mehdi Yaseri, and Mohammad Javad Hosseinzadeh-Attar
Subjects: 0301 basic medicine, medicine.medical_specialty, medicine.medical_treatment, 030232 urology & nephrology, Medicine (miscellaneous), Body fat percentage, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Quality of life, Renal Dialysis, Internal medicine, medicine, Humans, Obesity, Abdominal obesity, Inflammation, 030109 nutrition & dietetics, Nutrition and Dietetics, business.industry, Anthropometry, medicine.disease, Confidence interval, Diet, Nephrology, Quality of Life, Hemodialysis, medicine.symptom, business, Body mass index
Abstract: Objectives This study aimed to investigate the relationships among obesity, anthropometries, and the dietary inflammatory index (DII) with different aspects of quality of life (QoL) in patients undergoing hemodialysis. Design and Methods In 83 patients representing a range of body weights, QoL (based on short form 36), DII (extracted from dietary recalls), malnutrition-inflammation score, and anthropometric measurements were assessed. Results Obese patients had lower physical health score (mean difference [MD] 9.1, 95% confidence interval [CI] 0.3-17.8, P = .04), physical functioning (MD 10.5, 95% CI 0.7-20.2, P = .04), and bodily pain scores (MD 16.0, 95% CI 3.6-28.4, P = .01) than normal weight group. Patients with abdominal obesity and those with the highest body fat percentage had also lower QoL in many aspects, irrespective of body mass index. The physical (MD 13.2, 95% CI 2.05-24.3, P = .02) and mental (MD 18.4, 95% CI 7.51-29.2, P = .001) health scores, and physical functioning (MD 13.5, 95% CI 1.8-25.2, P = .02), role-physical (MD 25.8, 95% CI 3.0-48.6, P = .03), role-emotional (MD 22.1, 95% CI 5.4-52.8, P = .02), vitality (MD 18.4, 95% CI 7.6-29.3, P = .001), mental health (MD 11.7, 95% CI 3.06-20.4, P = .009), and social functioning (MD 14.2, 95% CI 1.13-27.2, P = .03) were considerably lower in patients with the highest versus the lowest DII. QoL did not differ between normal-weight and obese patients with low DII (P = .26), and between normal-weight and obese patients with high DII (P = .13). Obese patients with low DII also had better QoL than normal-weight subjects with high DII scores. Conclusions A diet with higher proinflammatory potential was associated with decreased QoL, irrespective of obesity status. Adherence to a low-DII diet might protect against some obesity-associated complications, a finding that needs further investigations.
Published: 2021

14. Automated measurement of iris surface smoothness using anterior segment optical coherence tomography

Author: Elias Khalili Pour, Hamid Riazi-Esfahani, Mehdi Yaseri, Hossein Arabalibeik, Behnam Mousavi, Tahereh Mahmoudi, Mohammad Zarei, and Nazanin Ebrahimiadib
Subjects: Adult, Male, Iris surface, genetic structures, Intraclass correlation, Science, Iris, 02 engineering and technology, Article, Uveitis, 03 medical and health sciences, 0302 clinical medicine, Optical coherence tomography, Anterior Eye Segment, 0202 electrical engineering, electronic engineering, information engineering, medicine, Humans, Iris (anatomy), Tomography, Aged, Multidisciplinary, Smoothness (probability theory), medicine.diagnostic_test, business.industry, Diagnostic markers, Middle Aged, medicine.disease, eye diseases, medicine.anatomical_structure, Case-Control Studies, 030221 ophthalmology & optometry, Referral center, Medicine, Female, 020201 artificial intelligence & image processing, Medical imaging, sense organs, Nuclear medicine, business, Algorithms, Tomography, Optical Coherence, Automated method
Abstract: Fuchs uveitis (FU) is a chronic and often unilateral ocular inflammation and characteristic iris atrophic changes, other than heterochromia, are common in FU and are key to the correct diagnosis in many cases. With the advent of anterior segment optical coherence tomography (AS-OCT), some investigators attempted to quantitatively study these atrophic changes; mostly by introducing various methods to measure iris thickness in AS-OCT images. We aimed to present an automated method in an observational case series to measure the smoothness index (SI) of the iris surface in AS-OCT images. The ratio of the length of the straight line connecting the most peripheral and central points of the anterior iris border (in nasal and temporal sides) to the actual length of this border on AS-OCT images, was defined as SI. In a uveitis referral center, twenty-two eyes of 11 patients with unilateral Fuchs uveitis (FU) (7 female) and 22 eyes of 11 healthy control subjects underwent AS-OCT imaging. Image J and a newly developed MATLAB algorithm were used for manual and automated SI measurements, respectively. Agreement between manual and automated measurements was evaluated with Bland–Altman analysis and interclass correlation coefficient. The inter-eye difference of SI was compared between the FU group and the control group. Automated mean overall SI was 0.868 ± 0.037 and 0.840 ± 0.039 in FU and healthy fellow eyes, respectively (estimated mean difference = − 0.028, 95% CI [− 0.038, − 0.018], p p = 0.01). We concluded that the automated algorithm can rapidly and conveniently measure SI with results comparable to the manual method.
Published: 2021

15. Public Preferences Regarding the Priority Setting Criteria of Health Interventions for Budget Allocation: Results of a Survey of Iranian Adults

Author: Ali Darvishi, Rajabali Daroudi, Mehdi Yaseri, and Ali Akbari Sari
Subjects: Adult, Budgets, Socioeconomic Factors, Surveys and Questionnaires, Public Health, Environmental and Occupational Health, Humans, Iran, Child
Abstract: Objectives Priority setting in health directly impacts the general public as payers and final consumers, so the public preferences must be considered. The present study aimed to provide public preferences about health intervention allocation criteria for the optimal allocation of public health budget in Iran. Methods A choice-based survey method was used to assess the general public’s preferences regarding 8 critical criteria with a societal aspect. One thousand sixty-four adult citizens of Tehran, Iran, participated in the study. Participants were asked to allocate a hypothetical budget between the two groups with differences in allocation criteria. Public preferences were inferred from absolute majority responses i.e., more than 50% of participants’ allocation for a criterion. The Logistic Regression Model was used to investigate the factors affecting the preferences regarding the importance of allocation criteria. Results Based on expressed participants’ preferences, criteria of disease severity, age, daily care needs, Number of alternative interventions, individual’s economic status, and diseases with absence from work were important. Thus, 77, 69, 61, 57, 54, and 51% of participants preferred to allocate the hypothetical budget to the treatment of patients with poor economic status, treatment of patients with diseases leading to absence from work, treating patients with severe diseases, treatment of diseases in need of daily care and treatment of children’s diseases, respectively. Findings from the factors affecting participants’ preferences regarding allocation criteria also showed that people with different characteristics had different preferences. Conclusions Iranian general public pays special attention to the criteria of equitable allocation, including patients’ economic status, criteria with societal aspects such as absenteeism from work and the need for daily care, as well as criteria with medical aspects such as disease severity and access to alternative interventions which may sometimes be less considered in decision making.
Published: 2022

16. Effects of virgin coconut oil consumption on metabolic syndrome components and asymmetric dimethylarginine: A randomized controlled clinical trial

Author: Abdolreza Norouzy, Parinaz Nikooei, Somayyeh Asghari, Mehdi Yaseri, Mohammad Javad Hosseinzadeh-Attar, and Ali Vasheghani-Farahani
Subjects: Adult, Blood Glucose, Male, medicine.medical_specialty, Very low-density lipoprotein, Time Factors, food.ingredient, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), 030209 endocrinology & metabolism, Iran, 030204 cardiovascular system & hematology, Arginine, Young Adult, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, food, Internal medicine, medicine, Humans, Metabolic Syndrome, Nutrition and Dietetics, medicine.diagnostic_test, Triglyceride, business.industry, Coconut oil, Middle Aged, medicine.disease, Dietary Fats, Lipids, Endocrinology, Blood pressure, chemistry, Coconut Oil, Female, lipids (amino acids, peptides, and proteins), Metabolic syndrome, Cardiology and Cardiovascular Medicine, Lipid profile, business, Asymmetric dimethylarginine, human activities, Biomarkers, Lipoprotein
Abstract: Background and aims There is some promising evidence regarding the beneficial effect of coconut oil on cardiometabolic risk factors. This study aimed to assess the effects of virgin coconut oil (VCO) consumption on metabolic syndrome (MetS) components, as well as, asymmetric dimethylarginine (ADMA) in adults with MetS. Methods and results In this randomized controlled trial, 48 subjects, aged 20–50 years, with MetS were allocated into two groups; the intervention group was given 30 ml of VCO per day to substitute the same amounts of fat in their usual diet for four weeks. The control group was advised to follow their usual diet. VCO consumption significantly reduced serum levels of triglyceride (TG) (P = 0.001), very low-density lipoprotein (VLDL) (P = 0.001), and fasting blood sugar (FBS) (P = 0.015) compared to the control group. The levels of high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (TC) were significantly increased in the VCO group when compared to the control group (P = 0.001). Circulatory ADMA also increased in the VCO group compared to the control group (P = 0.003). No significant differences were observed in the LDL-C/HDL-C ratio, anthropometric parameters, and blood pressure measurements between the two groups at the end of the study (P > 0.05). Conclusion VCO consumption increased the values of HDL-C while reduced TG and FBS levels. Blood pressure and waist circumference did not change. However, levels of TC, LDL-C, and ADMA elevated by VCO consumption. Caution is warranted until the results of further studies become available to explain the long-term effects of VCO consumption. Registration number IRCT20131125015536N11.
Published: 2021

17. Multi-dimensional model for determining the leading performance indicators of safety management systems

Author: Ali Karimi, Adel Mazloumi, Alireza Khanteymoori, Mohsen Falahati, Iraj Mohammadfam, and Mehdi Yaseri
Subjects: Safety Management, Computer science, Construction Industry, 05 social sciences, Rehabilitation, 0211 other engineering and technologies, Public Health, Environmental and Occupational Health, Bayesian network, Analytic hierarchy process, 02 engineering and technology, Occupational safety and health, Economic indicator, Risk analysis (engineering), 021105 building & construction, Management system, Multi dimensional, Humans, 0501 psychology and cognitive sciences, Performance indicator, Safety management systems, Workplace, 050107 human factors
Abstract: BACKGROUND: Health and safety performance measurements aimed to provide information on the progress and current situation of organizational strategies and activities. OBJECTIVES: We developed a model to determine and select safety key performance indicators in order to assess safety management systems. METHODS: This study has been designed in six steps aiming at defining a model of leading performance indicators (LPIs) and selecting key performance indicators (KPIs) using the AHP method. RESULTS: According to the results analysis, 116 structural and operational indicators were defined based on the components of the OHSAS 18001 management system. For this purpose, 19 structural, 27 operational and 33 active KPIs were selected by AHP and BN techniques. CONCLUSION: Development of LPIs is influenced by various organizational, managerial, and operational factors. LPIs extracted from the components of the OHS-MS deployed in an organization are often passive and cannot show the changes in the safety status of a workplace in a short period. The model presented in this study was designed with an emphasis on extraction of active and operational indicators, as they were capable of detecting performance changes in construction industries.
Published: 2020

18. Distribution of smf-1, rmlA, spgM and rpfF genes among Stenotrophomonas maltophilia isolates in relation to biofilm-forming capacity

Author: Masoumeh Douraghi, Akram Azimi, Masoumeh Aslanimehr, Mehdi Yaseri, and Maryam Shadkam
Subjects: 0301 basic medicine, Microbiology (medical), Stenotrophomonas maltophilia, 030106 microbiology, Immunology, Ceftazidime, Iran, Microbiology, law.invention, 03 medical and health sciences, 0302 clinical medicine, Antibiotic resistance, law, 23S ribosomal RNA, medicine, Humans, Immunology and Allergy, 030212 general & internal medicine, Biofilm formation, rmlA, Polymerase chain reaction, rpfF, biology, Biofilm, Drug Resistance, Microbial, spgM, biochemical phenomena, metabolism, and nutrition, biology.organism_classification, QR1-502, Ciprofloxacin, smf-1, Biofilms, Ticarcillin, Gram-Negative Bacterial Infections, medicine.drug
Abstract: Objectives: The molecular mechanisms involved in biofilm formation inStenotrophomonas maltophilia are poorly understood. Here, we examined whether the presence of smf-1, rmlA, spgM and rpfF genes is associated with biofilm formation and antibiotic resistance in S. maltophilia. Methods: A total of 150 S. maltophilia isolates were collected from three tertiary-care hospitals in Iran and were identified through PCR amplification of the 23S rRNA gene. Biofilm formation was determined by microtitre plate assay. Presence of smf-1, rmlA, spgM and rpfF genes was examined by PCR. Results: Among the isolates examined, 148 (98.7%) were able to produce biofilm, of which 69 (46.0%) were strong biofilm-producers, whereas 32 (21.3%) and 47 (31.3%) were moderate and weak biofilm-producers, respectively. The frequency ofsmf-1, rmlA, spgM and rpfF was 99.3%, 98.0%, 97.3% and 70.0%, respectively. Statistical analysis indicated a direct correlation between presence of the rpfF gene and biofilm formation (P < 0.001). The high prevalence of smf-1 (99.3%) among the isolates is noted and there was a significant association between smf-1 and biofilm-forming ability (P < 0.01), but lower than rpfF. Additionally, a direct association was found between resistance to ticarcillin/clavulanate, ceftazidime, ciprofloxacin and doxycycline and strong biofilm formation in the S. maltophilia isolates (P < 0.01). Conclusion: This study demonstrated thatS. maltophilia clinical isolates significantly differ in biofilm-forming ability. Moreover, presence of rpfF and smf-1, but not spgM, could be associated with biofilm formation. This study highlights the importance of rpfF in formation of biofilm compared with the other genes involved.
Published: 2020

19. Comparison of Artificial Intelligence-Based Machine Learning Classifiers for Early Detection of Keratoconus

Author: Mehrdad Mohammadpour, Zahra Heidari, Hassan Hashemi, Mehdi Yaseri, and Akbar Fotouhi
Subjects: Cornea, Machine Learning, Ophthalmology, Corneal Pachymetry, ROC Curve, Artificial Intelligence, Corneal Topography, Humans, General Medicine, Prospective Studies, Keratoconus, Dilatation, Pathologic, Retrospective Studies
Abstract: Purpose To compare the agreement between artificial intelligence (AI)-based classifiers and clinical experts in categorizing normal cornea from ectatic conditions. Methods Prospective diagnostic test study at Noor Eye Hospital. Two hundred twelve eyes of 212 patients were categorized into three groups of 92 normal, 52 subclinical keratoconus (SKCN), and 68 KCN eyes based on clinical findings by 3 independent expert examiners. All cases were then categorized using four different classifiers: Pentacam Belin/Ambrosio enhanced ectasia total deviation value (BADD) and Topographic Keratoconus Classification (TKC), Sirius Phoenix, and OPD-Scan III Corneal Navigator. The performance of classifiers and their agreement with expert opinion were investigated using the sensitivity, specificity, and Kappa index (κ). Results For detecting SKCN, Phoenix had the highest agreement with the clinical diagnosis (sensitivity, specificity, and κ of 84.62%, 90.0%, and 0.70, respectively) followed by BADD (55.56%, 86.08%, 0.42), TKC (26.92%, 97.50%, 0.30), and Corneal Navigator (30.77%, 93.75%, 0.29). For KCN diagnosis, the highest agreement with expert opinion was seen for Phoenix (80.02%, 96.60%, 0.79), BADD (95.59%, 85.42%, 0.75), TKC (95.59%, 84.03%, 0.73), and Corneal Navigator (67.65%, 96.45%, 0.68). Analysis of different classifiers showed that Phoenix had the highest accuracy for differentiating KCN (91.24%) and SKCN (88.68%) compared to other classifiers. Conclusions Although AI-based classifiers, especially Sirius Phoenix, can be very helpful in detecting early keratoconus, they cannot replace clinical experts’ opinions, particularly for decision-making before refractive surgery. Albeit, there may be concerns about the accuracy of clinical experts as well.
Published: 2022

20. Determinants of Poor Treatment Adherence among Patients with Type 2 Diabetes and Limited Health Literacy: A Scoping Review

Author: Nasrin Pourhabibi, Bahram Mohebbi, Roya Sadeghi, Elham Shakibazadeh, Mojgan Sanjari, Azar Tol, and Mehdi Yaseri
Subjects: Endocrinology, Clinical Protocols, Diabetes Mellitus, Type 2, Endocrinology, Diabetes and Metabolism, Humans, Patient Compliance, Iran, Health Literacy, Medication Adherence
Abstract: Prevention of complications and successful control of diabetes require preventive and therapeutic measures. Patients’ nonadherence to medication and diet regimens and healthcare protocols is associated with significant therapeutic and economic consequences. The present scoping review aims to identify determinants of poor treatment adherence among patients with type 2 diabetes and limited health literacy in 2021. This scoping review was conducted in five stages: designing a research question, searching and extracting related studies, selecting related studies, tabulating information, and reporting results. Data were collected from six foreign electronic databases (Embase, Science Direct, PubMed, Google Scholar, Scopus, and Web of Science) and four Iranian electronic databases (MagIran, SID, IranDoc, and IranMedex) using keywords “Type 2 diabetes”, “barriers”, “treatment”, “medication”, “adherence”, “non-adherence”, “limited adherence”, and “limited health literacy” from January 2010 to November 2021. From an initial 146 articles, 18 articles were eligible for review. Eighteen studies involving 3925 patients with T2DM from eight countries were included. The prevalence of nonadherence ranged from 42% to 74.3%. Barriers to treatment adherence, which were common among the articles, included economic problems, poor communication with healthcare team, lack of family support, lack of knowledge, misconceptions, and limited health literacy. The results of the present study provided modifiable and nonmodifiable factors affecting treatment adherence among patients with type 2 diabetes. Modifiable factors are essential by performing appropriate interventions with the target group and health professionals.
Published: 2022

21. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Brittney S Sheena, Lindsey Hiebert, Hannah Han, Helen Ippolito, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Amir Abdoli, Hiwa Abubaker Ali, Mesafint Molla Adane, Oyelola A Adegboye, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Muhammad Sohail Afzal, Saira Afzal, Mohamad Aghaie Meybodi, Bahman Ahadinezhad, Bright Opoku Ahinkorah, Sajjad Ahmad, Tauseef Ahmad, Sepideh Ahmadi, Haroon Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Gizachew Taddesse Akalu, Addis Aklilu, Tayyaba Akram, Hanadi Al Hamad, Fares Alahdab, Adugnaw Zeleke Alem, Dejene Tsegaye Alem, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Liaqat Ali, Muhammad Ashar Ali, Yousef Alimohamadi, Vahid Alipour, Motasem Alkhayyat, Sami Almustanyir, Rajaa M Al-Raddadi, Haya Altawalah, Saeed Amini, Hubert Amu, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Amir Anoushiravani, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Ayele Mamo Argaw, Zeleke Gebru Argaw, Muhammad Arshad, Anton A Artamonov, Tahira Ashraf, Daniel Atlaw, Floriane Ausloos, Marcel Ausloos, Sina Azadnajafabad, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ghasem Azarian, Sayna Bagheri, Saeed Bahadory, Atif Amin Baig, Maciej Banach, Nastaran Barati, Amadou Barrow, Abdul-Monim Mohammad Batiha, Diana Fernanda Bejarano Ramirez, Uzma Iqbal Belgaumi, Alemshet Yirga Berhie, Devidas S Bhagat, Nikha Bhardwaj, Pankaj Bhardwaj, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Ali Bijani, Antonio Biondi, Belay Boda Abule Bodicha, Hunduma Amensisa Bojia, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Nikolay Ivanovich Briko, Zahid A Butt, Luis Alberto Cámera, Raja Chandra Chakinala, Promit Ananyo Chakraborty, Jaykaran Charan, Shu Chen, Jee-Young Jasmine Choi, Sonali Gajanan Choudhari, Fazle Rabbi Chowdhury, Dinh-Toi Chu, Sheng-Chia Chung, Paolo Angelo Cortesi, Benjamin C Cowie, Garland T Culbreth, Omid Dadras, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Fernando Pio De la Hoz, Sisay Abebe Debela, Mohammed Gebre Dedefo, Feleke Mekonnen Demeke, Takele Gezahegn G Demie, Getu Debalkie Demissie, Meseret Derbew Molla, Abebaw Alemayehu Desta, Deepak Dhamnetiya, Mandira Lamichhane Dhimal, Meghnath Dhimal, Mojtaba Didehdar, Linh Phuong Doan, Fariba Dorostkar, Thomas M Drake, Fatemeh Eghbalian, Michael Ekholuenetale, Iman El Sayed, Maysaa El Sayed Zaki, Muhammed Elhadi, Mohamed A Elmonem, Aisha Elsharkawy, Shymaa Enany, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Sharareh Eskandarieh, Firooz Esmaeilzadeh, Sayeh Ezzikouri, Hossein Farrokhpour, Getahun Fetensa, Florian Fischer, Masoud Foroutan, Mohamed M Gad, Abhay Motiramji Gaidhane, Shilpa Gaidhane, Natalie C Galles, Silvano Gallus, Teferi Gebru Gebremeskel, Eyob Alemayehu Gebreyohannes, Keyghobad Ghadiri, Kazem Ghaffari, Mansour Ghafourifard, Seyyed-Hadi Ghamari, Ahmad Ghashghaee, Ali Gholami, Abdolmajid Gholizadeh, Aima Gilani, Amit Goel, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Giuseppe Gorini, Yitayal Ayalew Goshu, Max G Griswold, Mohammed Ibrahim Mohialdeen Gubari, Bhawna Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Rasool Haddadi, Rabih Halwani, Saeed S Hamid, Samer Hamidi, Asif Hanif, Shafiul Haque, Harapan Harapan, Arief Hargono, Sanam Hariri, Ahmed I Hasaballah, S M Mahmudul Hasan, Soheil Hassanipour, Hadi Hassankhani, Simon I Hay, Khezar Hayat, Golnaz Heidari, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Ramesh Holla, Mohammad-Salar Hosseini, Mostafa Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Mowafa Househ, Junjie Huang, Nawfal R Hussein, Ivo Iavicoli, Segun Emmanuel Ibitoye, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Lalu Muhammad Irham, Jessica Y Islam, Nahlah Elkudssiah Ismail, Kathryn H Jacobsen, Farhad Jadidi-Niaragh, Amirreza Javadi Mamaghani, Shubha Jayaram, Ranil Jayawardena, Rime Jebai, Ravi Prakash Jha, Nitin Joseph, Farahnaz Joukar, Billingsley Kaambwa, Ali Kabir, Zubair Kabir, Rohollah Kalhor, Himal Kandel, Tesfaye K Tesfaye Kanko, Rami S Kantar, Ibraheem M Karaye, Bekalu Getnet Kassa, Phillip M Kemp Bohan, Mohammad Keykhaei, Yousef Saleh Khader, Himanshu Khajuria, Gulfaraz Khan, Imteyaz A Khan, Junaid Khan, Moien AB Khan, Javad Khanali, Amir M Khater, Mahalaqua Nazli Khatib, Mahmoud Khodadost, Abdullah T Khoja, Omid Khosravizadeh, Jagdish Khubchandani, Gyu Ri Kim, Hanna Kim, Min Seo Kim, Yun Jin Kim, Jonathan M Kocarnik, Ali-Asghar Kolahi, Rajasekaran Koteeswaran, G Anil Kumar, Carlo La Vecchia, Dharmesh Kumar Lal, Iván Landires, Savita Lasrado, Jeffrey V Lazarus, Caterina Ledda, Doo Woong Lee, Sang-woong Lee, Yeong Yeh Lee, Miriam Levi, Jiarui Li, Stephen S Lim, Stany W Lobo, Platon D Lopukhov, Joana A Loureiro, Jennifer H MacLachlan, Hassan Magdy Abd El Razek, Muhammed Magdy Abd El Razek, Azeem Majeed, Alaa Makki, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Fariborz Mansour-Ghanaei, Mohammad Ali Mansournia, Francisco Rogerlândio Martins-Melo, Philippa C Matthews, Walter Mendoza, Ritesh G Menezes, Tuomo J Meretoja, Amanual Getnet Mersha, Tomislav Mestrovic, Ted R Miller, Le Huu Nhat Minh, Andreea Mirica, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Sanjeev Misra, Prasanna Mithra, Babak Moazen, Ashraf Mohamadkhani, Mokhtar Mohammadi, Shafiu Mohammed, Nagabhishek Moka, Ali H Mokdad, Jalal Moludi, Sara Momtazmanesh, Lorenzo Monasta, Ghobad Moradi, Maliheh Moradzadeh, Rahmatollah Moradzadeh, Paula Moraga, Ebrahim Mostafavi, Sumaira Mubarik, Malaisamy Muniyandi, Christopher J L Murray, Mohsen Naghavi, Mukhammad David Naimzada, Sreenivas Narasimha Swamy, Zuhair S Natto, Biswa Prakash Nayak, Javad Nazari, Ionut Negoi, Serban Mircea Negru, Seyed Aria Nejadghaderi, Sandhya Neupane Kandel, Huong Lan Thi Nguyen, Che Henry Ngwa, Robina Khan Niazi, Chukwudi A Nnaji, Jean Jacques Noubiap, Ali Nowroozi, Virginia Nuñez-Samudio, Bogdan Oancea, Chimedsuren Ochir, Oluwakemi Ololade Odukoya, In-Hwan Oh, Andrew T Olagunju, Babayemi Oluwaseun Olakunde, Ahmed Omar Bali, Emad Omer, Stanislav S Otstavnov, Bilcha Oumer, Jagadish Rao Padubidri, Adrian Pana, Anamika Pandey, Eun-Cheol Park, Fatemeh Pashazadeh Kan, Urvish K Patel, Uttam Paudel, Ionela-Roxana Petcu, Zahra Zahid Piracha, Richard Charles G Pollok, Maarten J Postma, Akram Pourshams, Hossein Poustchi, Mohammad Rabiee, Navid Rabiee, Alireza Rafiei, Sima Rafiei, Pavan Manibettu Raghuram, Mosiur Rahman, Amir Masoud Rahmani, Setyaningrum Rahmawaty, Aashish Rajesh, Priyanga Ranasinghe, Chythra R Rao, Sowmya J Rao, Mahsa Rashidi, Mohammad-Mahdi Rashidi, David Laith Rawaf, Salman Rawaf, Reza Rawassizadeh, Negar Rezaei, Aziz Rezapour, Sahba Rezazadeh-Khadem, Jefferson Antonio Buendia Rodriguez, Godfrey M Rwegerera, Siamak Sabour, Basema Saddik, Mohammad Reza Saeb, Umar Saeed, Amirhossein Sahebkar, KM Saif-Ur-Rahman, Sarvenaz Salahi, Hamideh Salimzadeh, Chethan Sampath, Abdallah M Samy, Juan Sanabria, Francesco Sanmarchi, Milena M Santric-Milicevic, Arash Sarveazad, Brijesh Sathian, Monika Sawhney, Abdul-Aziz Seidu, Sadaf G Sepanlou, Allen Seylani, Saeed Shahabi, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mohammed Shannawaz, Suchitra M Shenoy, Jeevan K Shetty, Pavanchand H Shetty, Kenji Shibuya, Jae Il Shin, Parnian Shobeiri, Migbar Mekonnen Sibhat, Achintya Dinesh Singh, Jasvinder A Singh, Surjit Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Amir Ali Sohrabpour, Suhang Song, Seidamir Pasha Tabaeian, Eyayou Girma Tadesse, Majid Taheri, Mircea Tampa, Ker-Kan Tan, Ahmad Tavakoli, Abdelghani Tbakhi, Belay Negash Tefera, Arash Tehrani-Banihashemi, Habtamu Molla Tesfaw, Rekha Thapar, Aravind Thavamani, Seyed Abolfazl Tohidast, Daniel Nigusse Tollosa, Maria Elena Tosti, Marcos Roberto Tovani-Palone, Eugenio Traini, Mai Thi Ngoc Tran, Indang Trihandini, Biruk Shalmeno Tusa, Irfan Ullah, Marco Vacante, Sahel Valadan Tahbaz, Pascual R Valdez, Shoban Babu Varthya, Bay Vo, Yasir Waheed, Adisu Birhanu Weldesenbet, Melat Woldemariam, Suowen Xu, Seyed Hossein Yahyazadeh Jabbari, Mehdi Yaseri, Yigizie Yeshaw, Vahit Yiğit, Birhanu Wubale Yirdaw, Naohiro Yonemoto, Chuanhua Yu, Ismaeel Yunusa, Mazyar Zahir, Leila Zaki, Mohammad Zamani, Maryam Zamanian, Mikhail Sergeevich Zastrozhin, Theo Vos, John W Ward, M Ashworth Dirac, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Sheena, Brittney S, Hiebert, Lindsey, Han, Hannah, Ippolito, Helen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdoli, Amir, Abubaker Ali, Hiwa, Adane, Mesafint Molla, Adegboye, Oyelola A, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afzal, Muhammad Sohail, Afzal, Saira, Aghaie Meybodi, Mohamad, Ahadinezhad, Bahman, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Akalu, Gizachew Taddesse, Aklilu, Addi, Akram, Tayyaba, Al Hamad, Hanadi, Alahdab, Fare, Alem, Adugnaw Zeleke, Alem, Dejene Tsegaye, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Liaqat, Ali, Muhammad Ashar, Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem, Almustanyir, Sami, Al-Raddadi, Rajaa M, Altawalah, Haya, Amini, Saeed, Amu, Hubert, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anoushiravani, Amir, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Argaw, Ayele Mamo, Argaw, Zeleke Gebru, Arshad, Muhammad, Artamonov, Anton A, Ashraf, Tahira, Atlaw, Daniel, Ausloos, Floriane, Ausloos, Marcel, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azarian, Ghasem, Bagheri, Sayna, Bahadory, Saeed, Baig, Atif Amin, Banach, Maciej, Barati, Nastaran, Barrow, Amadou, Batiha, Abdul-Monim Mohammad, Bejarano Ramirez, Diana Fernanda, Belgaumi, Uzma Iqbal, Berhie, Alemshet Yirga, Bhagat, Devidas S, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Biondi, Antonio, Bodicha, Belay Boda Abule, Bojia, Hunduma Amensisa, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Briko, Nikolay Ivanovich, Butt, Zahid A, Cámera, Luis Alberto, Chakinala, Raja Chandra, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chen, Shu, Choi, Jee-Young Jasmine, Choudhari, Sonali Gajanan, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chung, Sheng-Chia, Cortesi, Paolo Angelo, Cowie, Benjamin C, Culbreth, Garland T, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dedefo, Mohammed Gebre, Demeke, Feleke Mekonnen, Demie, Takele Gezahegn G, Demissie, Getu Debalkie, Derbew Molla, Meseret, Desta, Abebaw Alemayehu, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Didehdar, Mojtaba, Doan, Linh Phuong, Dorostkar, Fariba, Drake, Thomas M, Eghbalian, Fatemeh, Ekholuenetale, Michael, El Sayed, Iman, El Sayed Zaki, Maysaa, Elhadi, Muhammed, Elmonem, Mohamed A, Elsharkawy, Aisha, Enany, Shymaa, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Ezzikouri, Sayeh, Farrokhpour, Hossein, Fetensa, Getahun, Fischer, Florian, Foroutan, Masoud, Gad, Mohamed M, Gaidhane, Abhay Motiramji, Gaidhane, Shilpa, Galles, Natalie C, Gallus, Silvano, Gebremeskel, Teferi Gebru, Gebreyohannes, Eyob Alemayehu, Ghadiri, Keyghobad, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Gholami, Ali, Gholizadeh, Abdolmajid, Gilani, Aima, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gorini, Giuseppe, Goshu, Yitayal Ayalew, Griswold, Max G, Gubari, Mohammed Ibrahim Mohialdeen, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Haddadi, Rasool, Halwani, Rabih, Hamid, Saeed S, Hamidi, Samer, Hanif, Asif, Haque, Shafiul, Harapan, Harapan, Hargono, Arief, Hariri, Sanam, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hassanipour, 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Y., Ismail, N. E., Jacobsen, K. H., Jadidi-Niaragh, F., Javadi Mamaghani, A., Jayaram, S., Jayawardena, R., Jebai, R., Jha, R. P., Joseph, N., Joukar, F., Kaambwa, B., Kabir, A., Kabir, Z., Kalhor, R., Kandel, H., Kanko, T. K. T., Kantar, R. S., Karaye, I. M., Kassa, B. G., Kemp Bohan, P. M., Keykhaei, M., Khader, Y. S., Khajuria, H., Khan, G., Khan, I. A., Khan, J., Khan, M. A., Khanali, J., Khater, A. M., Khatib, M. N., Khodadost, M., Khoja, A. T., Khosravizadeh, O., Khubchandani, J., Kim, G. R., Kim, H., Kim, M. S., Kim, Y. J., Kocarnik, J. M., Kolahi, A. -A., Koteeswaran, R., Kumar, G. A., La Vecchia, C., Lal, D. K., Landires, I., Lasrado, S., Lazarus, J. V., Ledda, C., Lee, D. W., Lee, S. -W., Lee, Y. Y., Levi, M., Li, J., Lim, S. S., Lobo, S. W., Lopukhov, P. D., Loureiro, J. A., Maclachlan, J. H., Magdy Abd El Razek, H., Magdy Abd El Razek, M., Majeed, A., Makki, A., Malekpour, M. -R., Malekzadeh, R., Malik, A. A., Mansour-Ghanaei, F., Mansournia, M. A., Martins-Melo, F. R., Matthews, P. C., Mendoza, W., Menezes, R. G., Meretoja, T. J., Mersha, A. G., Mestrovic, T., Miller, T. R., Minh, L. H. N., Mirica, A., Mirmoeeni, S., Mirrakhimov, E. M., Misra, S., Mithra, P., Moazen, B., Mohamadkhani, A., Mohammadi, M., Mohammed, S., Moka, N., Mokdad, A. H., Moludi, J., Momtazmanesh, S., Monasta, L., Moradi, G., Moradzadeh, M., Moradzadeh, R., Moraga, P., Mostafavi, E., Mubarik, S., Muniyandi, M., Murray, C. J. L., Naghavi, M., Naimzada, M. D., Narasimha Swamy, S., Natto, Z. S., Nayak, B. P., Nazari, J., Negoi, I., Negru, S. M., Nejadghaderi, S. A., Neupane Kandel, S., Nguyen, H. L. T., Ngwa, C. H., Niazi, R. K., Nnaji, C. A., Noubiap, J. J., Nowroozi, A., Nunez-Samudio, V., Oancea, B., Ochir, C., Odukoya, O. O., Oh, I. -H., Olagunju, A. T., Olakunde, B. O., Omar Bali, A., Omer, E., Otstavnov, S. S., Oumer, B., Padubidri, J. R., Pana, A., Pandey, A., Park, E. -C., Pashazadeh Kan, F., Patel, U. K., Paudel, U., Petcu, I. -R., Piracha, Z. Z., Pollok, R. C. G., Postma, M. J., Pourshams, A., Poustchi, H., Rabiee, M., Rabiee, N., Rafiei, A., Rafiei, S., Raghuram, P. M., Rahman, M., Rahmani, A. M., Rahmawaty, S., Rajesh, A., Ranasinghe, P., Rao, C. R., Rao, S. J., Rashidi, M., Rashidi, M. -M., Rawaf, D. L., Rawaf, S., Rawassizadeh, R., Rezaei, N., Rezapour, A., Rezazadeh-Khadem, S., Rodriguez, J. A. B., Rwegerera, G. M., Sabour, S., Saddik, B., Saeb, M. R., Saeed, U., Sahebkar, A., Saif-Ur-Rahman, K. M., Salahi, S., Salimzadeh, H., Sampath, C., Samy, A. M., Sanabria, J., Sanmarchi, F., Santric-Milicevic, M. M., Sarveazad, A., Sathian, B., Sawhney, M., Seidu, A. -A., Sepanlou, S. G., Seylani, A., Shahabi, S., Shaikh, M. A., Shaker, E., Shakhmardanov, M. Z., Shannawaz, M., Shenoy, S. M., Shetty, J. K., Shetty, P. H., Shibuya, K., Shin, J. I., Shobeiri, P., Sibhat, M. M., Singh, A. D., Singh, J. A., Singh, S., Skryabin, V. Y., Skryabina, A. A., Sohrabpour, A. A., Song, S., Tabaeian, S. P., Tadesse, E. G., Taheri, M., Tampa, M., Tan, K. -K., Tavakoli, A., Tbakhi, A., Tefera, B. N., Tehrani-Banihashemi, A., Tesfaw, H. M., Thapar, R., Thavamani, A., Tohidast, S. A., Tollosa, D. N., Tosti, M. E., Tovani-Palone, M. R., Traini, E., Tran, M. T. N., Trihandini, I., Tusa, B. S., Ullah, I., Vacante, M., Valadan Tahbaz, S., Valdez, P. R., Varthya, S. B., Vo, B., Waheed, Y., Weldesenbet, A. B., Woldemariam, M., Xu, S., Yahyazadeh Jabbari, S. H., Yaseri, M., Yeshaw, Y., Yigit, V., Yirdaw, B. W., Yonemoto, N., Yu, C., Yunusa, I., Zahir, M., Zaki, L., Zamani, M., Zamanian, M., Zastrozhin, M. S., Vos, T., Ward, J. W., and Dirac, M. A.
Subjects: Liver Cirrhosis, Hepatology, Seroepidemiologic Studies, 3121 General medicine, internal medicine and other clinical medicine, Liver Neoplasms, Gastroenterology, Humans, Bayes Theorem, HBV, Global burden of diseases, HCC, Cirrhosis, Child, Hepatitis B, Global Burden of Disease
Abstract: Publisher Copyright: © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth hepatitis B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) and Interim Guidance for Country Validation of Viral Hepatitis Elimination (WHO Interim Guidance). We estimated the global, regional, and national prevalence of hepatitis B virus (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. This included estimates for 194 WHO member states, for which we compared our estimates to WHO elimination targets. Methods: The primary data sources were population-based serosurveys, claims and hospital discharges, cancer registries, vital registration systems, and published case series. We estimated chronic HBV infection and the burden of HBV-related diseases, defined as an aggregate of cirrhosis due to hepatitis B, liver cancer due to hepatitis B, and acute hepatitis B. We used DisMod-MR 2.1, a Bayesian mixed-effects meta-regression tool, to estimate the prevalence of chronic HBV infection, cirrhosis, and aetiological proportions of cirrhosis. We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B. Findings: In 2019, the estimated global, all-age prevalence of chronic HBV infection was 4·1% (95% uncertainty interval [UI] 3·7 to 4·5), corresponding to 316 million (284 to 351) infected people. There was a 31·3% (29·0 to 33·9) decline in all-age prevalence between 1990 and 2019, with a more marked decline of 76·8% (76·2 to 77·5) in prevalence in children younger than 5 years. HBV-related diseases resulted in 555 000 global deaths (487 000 to 630 000) in 2019. The number of HBV-related deaths increased between 1990 and 2019 (by 5·9% [–5·6 to 19·2]) and between 2015 and 2019 (by 2·9% [–5·9 to 11·3]). By contrast, all-age and age-standardised death rates due to HBV-related diseases decreased during these periods. We compared estimates for 2019 in 194 WHO locations to WHO-GHSS 2020 targets, and found that four countries achieved a 10% reduction in deaths, 15 countries achieved a 30% reduction in new cases, and 147 countries achieved a 1% prevalence in children younger than 5 years. As of 2019, 68 of 194 countries had already achieved the 2030 target proposed in WHO Interim Guidance of an all-age HBV-related death rate of four per 100 000. Interpretation: The prevalence of chronic HBV infection declined over time, particularly in children younger than 5 years, since the introduction of hepatitis B vaccination. HBV-related death rates also decreased, but HBV-related death counts increased as a result of population growth, ageing, and cohort effects. By 2019, many countries had met the interim seroprevalence target for children younger than 5 years, but few countries had met the WHO-GHSS interim targets for deaths and new cases. Progress according to all indicators must be accelerated to meet 2030 targets, and there are marked disparities in burden and progress across the world. HBV interventions, such as vaccination, testing, and treatment, must be strategically supported and scaled up to achieve elimination. Funding: Bill & Melinda Gates Foundation.
Published: 2022

22. Effect of a newly developed ready-to-use supplementary food on growth indicators in children with mild to moderate malnutrition

Author: Elham Alipoor, F. Azimi, Masoumeh Moslemi, Ahmad Esmaillzadeh, Mehdi Yaseri, and Mohammad Javad Hosseinzadeh-Attar
Subjects: Male, Pediatrics, medicine.medical_specialty, Normal diet, Nutrition Education, Iran, Weight Gain, Body Mass Index, 03 medical and health sciences, Child Development, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Food, Formulated, business.industry, 030503 health policy & services, Body Weight, Malnutrition, Public Health, Environmental and Occupational Health, General Medicine, medicine.disease, Supplementary food, Diet, Clinical trial, Child, Preschool, Food products, Dietary Supplements, Ready to use, Female, Child Nutritional Physiological Phenomena, 0305 other medical science, business, Body mass index
Abstract: Objectives Malnutrition is one of the leading causes of death among children younger than five years. In this study, we aimed to formulate a ready-to-use supplementary food (RUSF), based on local food products, and investigate its efficacy on growth indicators in children with mild to moderate malnutrition. Study design This is a randomized controlled clinical trial. Methods This study was performed in six health centers in Shahr-e-Rey, Tehran, Iran, between April and October 2017. One hundred children, aged 24–59 months, with mild to moderate malnutrition (weight-for-height Z-score [WHZ] between −3 and −1) were randomly assigned to two groups to receive either 1–3 sachets of RUSF or normal diet for 8 weeks. All mothers and caregivers received nutrition education. Growth indicators including weight and height, WHZ, and body mass index (BMI), along with clinical outcomes, were assessed. Results Children who received RUSF had a significant increase in weight (1.44 ± 0.38 vs 0.7 ± 0.32 kg, respectively, P −1 at the end of the study (P Conclusions A newly developed RUSF improved growth indicators and clinical outcomes in children with mild to moderate malnutrition. Clinical Trial Registry number IRCT2017021315536N6 (registered at www.irct.ir )
Published: 2020

23. Association of combined complement factor H Y402H and ARMS2/LOC387715 A69S polymorphisms with age-related macular degeneration: an updated meta-analysis

Author: Masoud Soheilian, Mehdi Yaseri, and Mohammad Hossein Jabbarpoor Bonyadi
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, Genotype, 030105 genetics & heredity, Polymorphism, Single Nucleotide, Macular Degeneration, 03 medical and health sciences, 0302 clinical medicine, Age related, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, Genetics (clinical), business.industry, Proteins, Macular degeneration, Prognosis, medicine.disease, Ophthalmology, Complement Factor H, Meta-analysis, Factor H, Pediatrics, Perinatology and Child Health, 030221 ophthalmology & optometry, Maculopathy, business
Abstract: Complement factor H (CFH) Y402 H (rs1061170) and age-related maculopathy susceptibility2 (ARMS2)/LOC387715 A69 S (rs10490924) polymorphisms shown to have significant association with AMD. In this meta-analysis, we updated and pooled the results of available association studies between combined ARMS2/LOC387715A69 S-CFHY402 H genotypes and AMD to estimate the synergistic effects.Heterogeneity of studies was evaluated using Cochran Q-test and I-square index. To modify the heterogeneity in the variables we used random effects model. Meta-analysis was performed using STATA. To estimate the additive or supra-additive effects we calculated RERI (relative excess risk due to interaction), AP (attributable proportion due to interaction), S (synergy index) and V (multiplicative index).We included 12 studies with 4668 AMD patients and 4936 control subjects. Considering the GGTT genotypes as reference line, the pooled AMD odds ratios for stratified combined genotypes was 2.13 (95% CI 1.64-2.78) for GGnonTT, 2.17 (95% CI 1.63-2.89) for nonGGTT and 7.23 (95% CI 4.95-10.55) for nonGGnonTT. Pooled synergy analysis revealed RERI = 3.90 (95% CI 0.58-10.03), AP = .53 (95% CI 0.09-0.69), S = 2.57 (95% CI 1.27-5.22) and V = 1.47 (95% CI 1.21-1.80).This updated analysis showed a strong synergistic and positive multiplicative effect of these two genes indicating that there is common pathway of ARMS2/LOC387715 A69 S and CFH Y402 H in AMD pathogenesis which may be complement system pathway.
Published: 2020

24. Tumor necrosis factor (TNF)-308, -1031, and angiotensin-converting enzyme (ACE) DD/II polymorphisms’ role in Behcet’s disease with and without uveitis: a meta-analysis

Author: Mehdi Yaseri, Mohammad Hossein Jabbarpoor Bonyadi, and Masoud Soheilian
Subjects: Disease, Behcet's disease, Peptidyl-Dipeptidase A, Polymorphism, Single Nucleotide, Uveitis, Humans, Medicine, Gene, Genetics (clinical), chemistry.chemical_classification, biology, Tumor Necrosis Factor-alpha, business.industry, Behcet Syndrome, Angiotensin-converting enzyme, Prognosis, medicine.disease, stomatognathic diseases, Ophthalmology, Enzyme, chemistry, Meta-analysis, Pediatrics, Perinatology and Child Health, Immunology, biology.protein, Tumor necrosis factor alpha, business
Abstract: There are conflicting results of studies investigating the association between the tumor necrosis factor (TNF) and angiotensin-converting enzyme (ACE) gene polymorphisms and Behcet's disease (BD). The aim of this meta-analysis is to assess the association between these gene polymorphisms and ocular involvement in BD.We identified relevant studies and reviewed the full-text manuscripts of the studies in order to select those for inclusion. Heterogeneity of studies was evaluated using Cochran Q-test and I-square index. To modify the heterogeneity in the variables we used random effects model. Meta-analysis was performed using STATA.We analyzed TNF-1031, -308 and ACE DD/II genotype difference between BD patients with and without uveitis. Among these polymorphic genetic loci TNF-308 AA genotype has a statistically significant protective effect against BD uveitis (OR = 0.45 vs 1.23,This meta-analysis revealed a significant protective effect of TNF-308 AA genotype against ocular involvement in Behcet's disease.
Published: 2020

25. Early diagnosis of subclinical keratoconus by wavefront parameters using Scheimpflug, Placido and Hartmann–Shack based devices

Author: Mehdi Yaseri, Hassan Hashemi, Alireza Moghaddasi, Ebrahim Jafarzadehpur, Mehrdad Mohammadpour, Zahra Heidari, and Akbar Fotouhi
Subjects: Keratoconus, medicine.medical_specialty, genetic structures, medicine.medical_treatment, Scheimpflug principle, Coma (optics), Sensitivity and Specificity, Cornea, Refractive surgery, Ophthalmology, medicine, Humans, Prospective Studies, Subclinical infection, Wavefront, Receiver operating characteristic, business.industry, Corneal Topography, medicine.disease, eye diseases, Early Diagnosis, medicine.anatomical_structure, sense organs, business
Abstract: To compare the accuracy of three devices (Pentacam, Sirius and OPD-Scan III) to differentiate subclinical keratoconus from normal corneas by wavefront parameters. Two hundred and seventeen patients were enrolled in three groups [68 normal, 79 subclinical keratoconus (SKCN) and 70 KCN eyes] in this prospective diagnostic test study. Wavefront indices were evaluated between the groups using Pentacam, Sirius and OPD-Scan III. The accuracy of the parameters was determined by measuring the area under the receiver operating characteristic curve (AUC) for each group. Front Baiocchi-Calossi-Versaci (BCV) index with Sirius (sensitivity = 87.7%, specificity = 83%, AUC = 0.887), front Vertical Coma (Z3−1) with Pentacam (sensitivity = 75%, specificity = 100%, AUC = 0.857) and Corneal Z3−1 with OPD-Scan III (sensitivity = 100%, specificity = 78.6%, AUC = 0.857) had the highest AUC values for the diagnosis of subclinical KCN. In the KCN group, the highest AUC values were obtained for front higher-order aberration (HOA), front/back Z3−1 and front Secondary Vertical Coma (Z5−1) with Pentacam (sensitivity = 100%, specificity = 100%, AUC = 1.00 for all three), front root mean square values per unit area (RMS/A), HOA, Residual HOA, BCV, RMS Trefoil and RMS Coma with Sirius (sensitivity = 100%, specificity = 100%, AUC = 1.00 for all) and Corneal HOA, RMS total Coma and Z3−1 with OPD-Scan III (sensitivity = 100%, specificity = 93%, AUC = 0.96 for all three). Corneal wavefront indices generated from different devices have acceptable validity for differentiating normal cornea from the early form of KCN, and this can be very useful for preoperative screening before refractive surgery. The front BCV with Sirius was the most accurate parameter for diagnosis of SKCN followed by Z3−1 with Pentacam and OPD-Scan III.
Published: 2020

26. Individualizing the dosage of Methylphenidate in children with attention deficit hyperactivity disorder

Author: Hoda Shirafkan, Mehdi Yaseri, Javad Mahmoudi-Gharaei, Seyyed Ali Mozaffarpur, Akbar Fotouhi, and Mostafa Hoseini
Subjects: Male, Pediatrics, medicine.medical_specialty, Dose, Epidemiology, medicine.medical_treatment, Population, Health Informatics, Mixed-effect models, Logistic regression, Severity of Illness Index, 01 natural sciences, Cohort Studies, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, mental disorders, medicine, Humans, Attention deficit hyperactivity disorder, 030212 general & internal medicine, 0101 mathematics, Child, education, Tailor medicine, education.field_of_study, lcsh:R5-920, Dose-Response Relationship, Drug, business.industry, Methylphenidate, Longitudinal data, Precision medicine, medicine.disease, Random effects model, Attention deficit disorder with hyperactivity, Stimulant, Logistic Models, Treatment Outcome, Child, Preschool, Multivariate Analysis, Central Nervous System Stimulants, Female, Personalized medicine, business, lcsh:Medicine (General), Algorithms, Research Article, medicine.drug
Abstract: Background Attention deficit hyperactivity disorder (ADHD) is one of the most common childhood mental health disorders. Stimulant drugs as the most commonly used treatment and first-line therapy for ADHD have side effects. One of the newest approaches to select the best choices and optimize dosages of medications is personalized medicine. Methods This historical cohort study was carried out on the data taken from the period of 2008 to 2015. Eligible subjects were included in the study randomly. We used mixed-effects logistic regression models to personalize the dosage of Methylphenidate (MPH) in ADHD. The patients’ heterogeneity was considered using subject-specific random effects, which are treated as the realizations of a stochastic process. To recommend a personalized dosage for a new patient, a two-step procedure was proposed. In the first step, we obtained estimates for population parameters. In the second step, the dosage of the drug for a new patient was updated at each follow-up. Results Of the 221 children enrolled in the study, 169 (76.5%) were male and 52 (23.5%) were females. The overall mean age at the beginning of the study is 82.5 (± 26.5) months. In multivariable mixed logit model, three variables (severity of ADHD, time duration receiving MPH, and dosage of MPH) had a significant relationship with improvement. Based on this model the personalized dosage of MPH was obtained. Conclusions To determine the dosage of MPH for a new patient, the more the severity of baseline is, the more of an initial dose is required. To recommend the dose in the next times, first, the estimation of random coefficient should be updated. The optimum dose increased when the severity of ADHD increased. Also, the results show that the optimum dose of MPH as one proceeds through the period of treatment will decreased.
Published: 2020

27. Relationship between suicide mortality and lithium in drinking water: A systematic review and meta-analysis

Author: Fateme Barjasteh-Askari, David Lester, Masoud Yunesian, Amir Hossein Mahvi, Mojtaba Davoudi, Mohammad Ghorbani, Homayoun Amini, and Mehdi Yaseri
Subjects: Male, Lithium (medication), Population, Poison control, Lithium, Suicide prevention, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Environmental health, Odds Ratio, medicine, Humans, education, education.field_of_study, business.industry, Drinking Water, Odds ratio, Confidence interval, 030227 psychiatry, Suicide, Psychiatry and Mental health, Clinical Psychology, Meta-analysis, Female, business, 030217 neurology & neurosurgery, Cohort study, medicine.drug
Abstract: Lithium at therapeutic doses has protective effects against suicide in clinical practice. This meta-analysis aimed to investigate the relationship between lithium concentration in drinking water and suicide mortality in the general population.A systematic search was conducted in Web of Knowledge, PubMed, ScienceDirect, and Scopus to find papers reporting the crude relationship between drinking water lithium and suicide incidence in the general population until June 2019. The pooled effect measure was expressed as odds ratio (OR) and 95% confidence interval (CI) using the random-effects model.We retrieved 308 English original articles, of which 13 ecologic studies with a total sample size of 939 regions and one cohort study with a sample size of 3,740,113 people were eligible for the meta-analysis. A significant relationship was found between the lithium concentration in drinking water and reduced suicide mortality (OR= 0.42; 95% CI: 0.27-0.67; p-value0.01). Ten studies reported gender-specific responses to lithium, with the pooled estimates as follows: OR= 0.54; 95% CI: 0.35-0.84; p-value0.01 for men, OR= 0.70; 95% CI: 0.48-1.01; p-value =0.057 for women, and OR= 0.63; 95% CI: 0.47-0.83; p-value0.01 for total.The study was limited to the assessment of the crude relationship between lithium exposure and suicide rate without considering the role of confounders.Lithium in drinking water is dose-dependently associated with reduced suicide mortality at least in ecological studies. However, we need well-designed clinical trials to confirm the protective effect of drinking water lithium intake against suicide.
Published: 2020

28. Intravitreal Ziv-Aflibercept in Patients With Diabetic Macular Edema Refractory to Intravitreal Bevacizumab

Author: Alireza Khodabandeh, Mojtaba Shahabinejad, Mohammad Zarei, Mina Ojani, Alireza Lashay, Hassan Khojasteh, Bobeck S. Modjtahedi, Hamid Riazi-Esfahani, Samaneh Davoudi, Fatemeh Bazvand, Nazanin Ebrahimiadib, Mohammad Riazi-Esfahani, Ramak Roohipoor, Sepideh Jamali, and Mehdi Yaseri
Subjects: Male, medicine.medical_specialty, Visual acuity, genetic structures, Bevacizumab, Fundus Oculi, Recombinant Fusion Proteins, Diabetic macular edema, Drug Resistance, Visual Acuity, Angiogenesis Inhibitors, Subgroup analysis, Macular Edema, 03 medical and health sciences, 0302 clinical medicine, Refractory, Ophthalmology, Humans, Medicine, Macula Lutea, In patient, Prospective Studies, Fluorescein Angiography, Intravitreal bevacizumab, Prospective cohort study, Aged, Diabetic Retinopathy, business.industry, Middle Aged, eye diseases, Receptors, Vascular Endothelial Growth Factor, Intravitreal Injections, 030221 ophthalmology & optometry, Female, sense organs, medicine.symptom, business, Tomography, Optical Coherence, Follow-Up Studies, medicine.drug
Abstract: BACKGROUND AND OBJECTIVE: To evaluate the efficacy of intravitreal ziv-aflibercept (IVZ) in patients with diabetic macular edema (DME) resistant to intravitreal bevacizumab (IVB). PATIENTS AND METHODS: This prospective study was conducted in patients with persistent DME. Patients were switched to IVZ no longer than 6 weeks after the last three consecutive monthly IVB treatments and monitored over a course of 12 weeks. Changes in best-corrected visual acuity (BCVA), central macular thickness (CMT), and macular volume on optical coherence tomography were compared. RESULTS: A total of 59 eyes (38 patients) were included. Mean BCVA improved from 0.84 to 0.71 logMAR ( P = .001) after first IVZ treatment and remained significant. In a subgroup analysis, this significance was observed only in the group with baseline visual acuity of less than 20/50. Mean CMT decreased from 479 μm to 364 μm ( P = .004) after the first IVZ injections and remained significant. CONCLUSION: IVZ may be best reserved for patients with persistent DME after initial failure with bevacizumab, with less likelihood for anatomic or functional improvement in those with mild persistent DME. [ Ophthalmic Surg Lasers Imaging Retina . 2020;51:145–151.]
Published: 2020

29. The effect of a hydrolyzed collagen-based supplement on wound healing in patients with burn: A randomized double-blind pilot clinical trial

Author: Mehdi Yaseri, Mohsen Saberi Isfeedvajani, Elham Alipoor, Reza Vaghardoost, Katayoun Bagheri Miyab, Mohammad Javad Hosseinzadeh-Attar, and Kurosh Djafarian
Subjects: Adult, Male, Dietary Sugars, Pilot Projects, Critical Care and Intensive Care Medicine, Placebo, Double blind, Young Adult, 030207 dermatology & venereal diseases, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Double-Blind Method, Humans, Prealbumin, Medicine, In patient, Hydrolyzed collagen, Proportional Hazards Models, Wound Healing, business.industry, Soy Foods, 030208 emergency & critical care medicine, General Medicine, Length of Stay, Middle Aged, Yogurt, Clinical trial, chemistry, Anesthesia, Dietary Supplements, Emergency Medicine, Gelatin, Surgery, Collagen, Burns, business, Wound healing, Hospital stay, Total body surface area
Abstract: Burn is among the most severe forms of critical illness, associated with extensive and prolonged physical, metabolic and mental disorders. The aim of this study was to assess the effect of an oral, low-cost, and accessible collagen-based supplement on wound healing in patients with burn.In this randomized double-blind controlled pilot clinical trial, 31 men, 18-60years, with 20-30% total body surface area burn were studied. Patients were randomly assigned to receive either a collagen-based supplement (1000kcal) or an isocaloric placebo, for 4 weeks. Serum pre-albumin, rate of wound healing, length of hospital stay, and anthropometries were assessed at baseline, and the end of week 2 and 4.Serum pre-albumin was significantly higher at week 2 (29.7±13.6 vs. 17.8±7.5mg/dL, P=0.006) and week 4 (35.1±7.6 vs. 28.3±8.2mg/dL, P=0.023) in collagen than control group. Changes in pre-albumin concentration were also significantly higher in collagen group at week 2 (13.9±9.8 vs. -1.9±10.3mg/dL, P0.001) and week 4 (19.2±7.5 vs. 8.5±10.1mg/dL, P=0.002). The Hazard ratio of wound healing was 3.7 times in collagen compared to control group (95% CI: 1.434-9.519, P=0.007). Hospital stay was clinically, but not statistically, lower in collagen than control group (9.4±4.6 vs. 13.5±7 days, P=0.063). There were no significant differences in weight, body mass index, dietary energy and protein intakes between the two groups.The findings showed that a hydrolyzed collagen-based supplement could significantly improve wound healing and circulating pre-albumin, and clinically reduce hospital stay in patients with 20-30% burn.
Published: 2020

30. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Luxia Zhang, Young-Ho Khang, Ellina Rakhimova, Kairit Mikkel, Tiina Vlasoff, Eruke E. Egbagbe, Sidsel Graff-Iversen, Ilona Nenko, Magdalena Klimek, Mathilde Savy, Sanjib Kumar Sharma, Alfonso Siani, Luís Lopes, Vanina Bongard, Gregor Jurak, Jacqueline F. Price, Christina-Paulina Lambrinou, Maria Lc Iurilli, Rainford J. Wilks, Bontha V. Babu, Fereidoun Azizi, Harunobu Nakamura, Marialaura Bonaccio, Angela Döring, Zhenyu Zhang, Naser Ahmadi, Jolanta Słowikowska-Hilczer, Ana Paula Carlos Cândido, Clive Osmond, Thirunavukkarasu Sathish, Robert J. Adams, Themistoklis Tzotzas, Reina Engle-Stone, Atul Trivedi, Shoichiro Tsugane, Niels Møller, Jorge Bezerra, Dénes Molnár, Muhammad Fadhli Mohd Yusoff, Badreya Al-Lahou, J. Jaime Miranda, Bahram Mohajer, Sigmund A. Anderssen, Lital Keinan Boker, Eero Kajantie, Martin Gulliford, Maties Torrent, Sumit Bharadwaj, Toshiharu Ninomiya, Zbigniew Gaciong, Nayu Ikeda, Li Juan Wu, Adrian Richter, Licia Iacoviello, Marc J. Gunter, Wenbin Wei, Norsyamlina Che Abdul Rahim, Eman Aly, Ambady Ramachandran, Nils Lehmann, Soile E. Puhakka, Giovanni Veronesi, Hongsheng Bi, Eiji Oda, Jia Li Duan, Per Tynelius, José María Huerta, Janne Schurmann Tolstrup, Rodrigo M. Carrillo-Larco, Rosangela Fernandes Lucena Batista, Victoria E Soto-Rojas, Hanno Ulmer, Shukri F. Mohamed, Anthony Kafatos, Suyeon Park, Mohsen Ibrahim, Hamed Pouraram, Bin Zhou, May Soe Aung, Lars Bo Andersen, Erfan Ghasemi, René Charles Sylva, Himanshu K. Chaturvedi, Luc Dauchet, Ahmad Ali Zainuddin, Angela Chetrit, Dan Zhu, Valérie Deschamps, Ko Ko Zaw, Peter Vollenweider, Tomas Vega, Yves Martin-Prével, Mahfuzar Rahman, Dorja Vočanec, Roman Topor-Madry, Vinay Nangia, Herculina S. Kruger, Asher Fawwad, Emily Sonestedt, Elena Pahomova, Aleksander Giwercman, Elżbieta Dziankowska-Zaborszczyk, Cecilia Björkelund, Tatjana Hejgaard, Maria Puiu, Maria Benedetta Donati, Andrew Wong, Carlos P. Boissonnet, Santosh K. Bhargava, Patrick Kolsteren, Dermot O'Reilly, Bahareh Kheiri, Wolfgang Kratzer, Susanne R. de Rooij, H. Bas Bueno-de-Mesquita, Günther Fink, José R. Banegas, Michele Monroy-Valle, Drude Molbo, Mahmudur Rahman, Hynek Pikhart, Rafael N. Pichardo, Massimo Salvetti, Hui Cai, Sarah Filippi, Georg Posch, Hung-Kwan So, Yonghua Hu, Katsuyasu Kouda, Joana Carvalho, Gailute Bernotiene, Hannu Uusitalo, Thein Thein Htay, Felix Kaducu, Maigeng Zhou, Lars Ängquist, Thi Tuyet-Hanh Tran, Charles Lunogelo, Michel Joffres, Sabina Zambon, Ronald D. Gregor, Vayia Rarra, Seyed Mohammad Hashemi-Shahri, Loreto Santa Marina, Galina Obreja, Rudolf Kaaks, Aya Mostafa, Maria do Carmo Franco, Beata Gurzkowska, Chien-Jen Chen, Marie Moitry, Nizal Sarrafzadegan, Xiangjun Wang, Diego Giulliano Destro Christofaro, Imperia Brajkovich, Fangfang Chen, Francesco Panza, Ling Yang, Holly E. Syddall, Cecily Kelleher, Michael Tornaritis, Ningli Wang, Lutgarde Thijs, Marjolein Visser, Angelika Schaffrath Rosario, María José Tormo, Jostein Steene-Johannessen, Norbert Amougou, Emmanuella Magriplis, Mar Alvarez-Pedrerol, Jingli Gao, Stig E. Bojesen, Giuseppe Grosso, Seongjun Ha, Lauren Lissner, Mikhail Benet, Anastasia Markaki, Sanjay Rampal, Antônio Augusto Moura da Silva, Maria Lorenza Muiesan, Angelique Chan, Yvonne T. van der Schouw, Annamari Lundqvist, Philippe Amouyel, Kristyna Zejglicova, Charalambos Hadjigeorgiou, João Breda, Jørgen Meisfjord, Fatima Zahra Laamiri, Carl Lachat, Kai-Uwe Saum, Vilma Irazola, Leng Huat Foo, Óscar Lopes, Dickman Gareta, Flavio Nervi, Imre Janszky, Ruzena Kubinova, Terho Lehtimäki, Mario V. Capanzana, Moyses Szklo, Ramfis Nieto-Martínez, Viswanathan Mohan, Shuohua Chen, Arvind Pandey, Luigi Palmieri, Roya Kelishadi, Srinivasan Kannan, Jie Mi, Robert Beaglehole, Liliana Dacica, Jyrki K. Virtanen, Mohan Deepa, Peter Ueda, Isti Ilmiati Fujiati, Hermann Pohlabeln, Morten Sodemann, Jytte Halkjær, Zbigniew Kułaga, Sophie Visvikis-Siest, Farshad Farzadfar, Mohsen Azimi-Nezhad, Henry Völzke, Karolina Milkowska, Zahra Mohammadi, Belgin Ünal, Magda Gasull, George S. Stergiou, Marshall K. Tulloch-Reid, Seppo Koskinen, James E. Bennett, Marcela González-Gross, Virginija Dulskiene, Idris Guessous, Assembekov Batyrbek, Kamarul Imran Musa, Jeannette Lee, Josep Redon, Bihungum Bista, Luisa M Macieira, Johan Sundström, Andres Metspalu, Lariane M Ono, Flora A. Ukoli, Salar Rahimikazerooni, Andrea Gualtieri, Trevor S. Ferguson, Félicité Tchibindat, Eliza Cinteza, Ha Tp Do, Tajana Zeljkovic Vrkic, Tuyen D Le, Alison J. Hayes, Abdul Basit, Chandini Nekkantti, Teresa Norat, Eunice Ugel, Gulmira Aitmurzaeva, Mariachiara Di Cesare, Abdul Hamid Zargar, Vincenzo Solfrizzi, Garry L. Jennings, Aline Meirhaeghe, Kaare Christensen, Päivi Mäki, Xu Lin, Ali Esmaeili, Joanna Baran, Aneta Grajda, Renata Cifkova, Alexandre C. Pereira, Martin Bobak, Iuliia A Rusakova, Keiu Nelis, Damian K Francis, Guansheng Ma, Axel C. Carlsson, Alejandro Diaz, Alireza Ansari-Moghaddam, N Capkova, Zumin Shi, Maria Turley, Imelda A. Agdeppa, Helena I. S. 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Casajús, Guang Ning, Lutgart Braeckman, Dirk Vanderschueren, Jochanan Stessman, Ivana Radic, Yi Zeng, Hans Concin, Damaskini Valvi, Sari Hantunen, Catherine Kyobutungi, Diego Augusto Santos Silva, Wenhua Zhao, Sok King Ong, Anne W. Taylor, Iraj Nabipour, Justyna Godos, Cyrus Cooper, Mattias Johansson, Samuel C. Dumith, Magdalena Muc, Sabine Schipf, Idowu O Senbanjo, Jim Mann, Rajaa Al-Raddadi, Yih Chung Tham, Kay-Tee Khaw, Joseph Cacciottolo, Ana Henriques, Sahar Saeedi Moghaddam, Reza Mohammadpourhodki, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Camilla T. Damsgaard, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Constance Schultsz, Santiago F. Gomez, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Pierre Traissac, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Eleonora d'Orsi, Irene G. M. van Valkengoed, Anna Fijałkowska, Wen-Harn Pan, Gregor Starc, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Abdullah Alkandari, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Saeed Dastgiri, Lien Braeckevelt, Nasheeta Peer, Radka Taxová Braunerová, Mohamed M. Ali, Steiner Krokstad, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Silvana Donoso, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Dianna J. 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Ltd, Orebro University, University of London, Universitas Indonesia, Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs, Children’s Hospital of Fudan University, University of Cyprus, Niigata University, International Medical University, Iran University of Medical Sciences, Center for Diabetes and Endocrine Care, Peking University First Hospital, Jiangsu Provincial Center for Disease Control and Prevention, Sun Yat-sen University, West Kazakhstan Medical University, Inner Mongolia Medical University, University of Ghana, Maria Lc Iurilli , Bin Zhou , James E Bennett , Rodrigo M Carrillo-Larco , Marisa K Sophiea , Andrea Rodriguez-Martinez , Honor Bixby , Bethlehem D Solomon , Cristina Taddei , Goodarz Danaei , Mariachiara Di Cesare , Gretchen A Stevens , Leanne M Riley , Stefan Savin , Melanie J Cowan , Pascal Bovet , Albertino Damasceno , Adela Chirita-Emandi , Alison J Hayes , Nayu Ikeda , Rod T Jackson , Young-Ho Khang , Avula Laxmaiah , Jing Liu , J Jaime Miranda , Olfa Saidi , Sylvain Sebert , Maroje Sorić , Gregor Starc , Edward W Gregg , Leandra Abarca-Gómez , Ziad A Abdeen , Shynar Abdrakhmanova , Suhaila Abdul Ghaffar , Hanan F Abdul Rahim , Niveen M Abu-Rmeileh , Jamila Abubakar Garba , Benjamin Acosta-Cazares , Robert J Adams , Wichai Aekplakorn , Kaosar Afsana , Shoaib Afzal , Imelda A Agdeppa , Javad Aghazadeh-Attari , Carlos A Aguilar-Salinas , Charles Agyemang , Mohamad Hasnan Ahmad , Noor Ani Ahmad , Ali Ahmadi , Naser Ahmadi , Soheir H Ahmed , Wolfgang Ahrens , Gulmira Aitmurzaeva , Kamel Ajlouni , Hazzaa M Al-Hazzaa , Badreya Al-Lahou , Rajaa Al-Raddadi , Monira Alarouj , Fadia AlBuhairan , Shahla AlDhukair , Mohamed M Ali , Abdullah Alkandari , Ala'a Alkerwi , Kristine Allin , Mar Alvarez-Pedrerol , Eman Aly , Deepak N Amarapurkar , Parisa Amiri , Norbert Amougou , Philippe Amouyel , Lars Bo Andersen , Sigmund A Anderssen , Lars Ängquist , Ranjit Mohan Anjana , Alireza Ansari-Moghaddam , Hajer Aounallah-Skhiri , Joana Araújo , Inger Ariansen , Tahir Aris , Raphael E Arku , Nimmathota Arlappa , Krishna K Aryal , Thor Aspelund , Felix K Assah , Maria Cecília F Assunção , May Soe Aung , Juha Auvinen , Mária Avdicová , Shina Avi , Ana Azevedo , Mohsen Azimi-Nezhad , Fereidoun Azizi , Mehrdad Azmin , Bontha V Babu , Maja Bæksgaard Jørgensen , Azli Baharudin , Suhad Bahijri , Jennifer L Baker , Nagalla Balakrishna , Mohamed Bamoshmoosh , Maciej Banach , Piotr Bandosz , José R Banegas , Joanna Baran , Barbagallo CM, Alberto Barceló , Amina Barkat , Aluisio Jd Barros , Mauro Virgílio Gomes Barros , Abdul Basit , Joao Luiz D Bastos , Iqbal Bata , Anwar M Batieha , Rosangela L Batista , Zhamilya Battakova , Assembekov Batyrbek , Louise A Baur , Robert Beaglehole , Silvia Bel-Serrat , Antonisamy Belavendra , Habiba Ben Romdhane , Judith Benedics , Mikhail Benet , Ingunn Holden Bergh , Salim Berkinbayev , Antonio Bernabe-Ortiz , Gailute Bernotiene , Heloísa Bettiol , Jorge Bezerra , Aroor Bhagyalaxmi , Sumit Bharadwaj , Santosh K Bhargava , Zulfiqar A Bhutta , Hongsheng Bi , Yufang Bi , Daniel Bia , Elysée Claude Bika Lele, Mukharram M Bikbov , Bihungum Bista , Dusko J Bjelica , Peter Bjerregaard , Espen Bjertness , Marius B Bjertness , Cecilia Björkelund , Katia V Bloch , Anneke Blokstra , Simona Bo , Martin Bobak , Lynne M Boddy , Bernhard O Boehm , Heiner Boeing , Jose G Boggia , Elena Bogova , Carlos P Boissonnet , Stig E Bojesen , Marialaura Bonaccio , Vanina Bongard , Alice Bonilla-Vargas , Matthias Bopp , Herman Borghs , Lien Braeckevelt , Lutgart Braeckman , Marjolijn Ce Bragt , Imperia Brajkovich , Francesco Branca , Juergen Breckenkamp , João Breda , Hermann Brenner , Lizzy M Brewster , Garry R Brian , Lacramioara Brinduse , Sinead Brophy , Graziella Bruno , H Bas Bueno-de-Mesquita , Anna Bugge , Marta Buoncristiano , Genc Burazeri , Con Burns , Antonio Cabrera de León , Joseph Cacciottolo , Hui Cai , Tilema Cama , Christine Cameron , José Camolas , Günay Can , Ana Paula C Cândido , Felicia Cañete , Mario V Capanzana , Nadežda Capková , Eduardo Capuano , Vincenzo Capuano , Marloes Cardol , Viviane C Cardoso , Axel C Carlsson , Esteban Carmuega , Joana Carvalho , José A Casajús , Felipe F Casanueva , Ertugrul Celikcan , Laura Censi , Marvin Cervantes-Loaiza , Juraci A Cesar , Snehalatha Chamukuttan , Angelique W Chan , Queenie Chan , Himanshu K Chaturvedi , Nish Chaturvedi , Norsyamlina Che Abdul Rahim , Miao Li Chee , Chien-Jen Chen , Fangfang Chen , Huashuai Chen , Shuohua Chen , Zhengming Chen , Ching-Yu Cheng , Bahman Cheraghian , Angela Chetrit , Ekaterina Chikova-Iscener , Arnaud Chiolero , Shu-Ti Chiou , María-Dolores Chirlaque , Belong Cho , Kaare Christensen , Diego G Christofaro , Jerzy Chudek , Renata Cifkova , Michelle Cilia , Eliza Cinteza , Frank Claessens , Janine Clarke , Els Clays , Emmanuel Cohen , Hans Concin , Susana C Confortin , Cyrus Cooper , Tara C Coppinger , Eva Corpeleijn , Simona Costanzo , Dominique Cottel , Chris Cowell , Cora L Craig , Amelia C Crampin , Ana B Crujeiras , Semánová Csilla , Alexandra M Cucu , Liufu Cui , Felipe V Cureau , Ewelina Czenczek-Lewandowska , Graziella D'Arrigo , Eleonora d'Orsi , Liliana Dacica , María Ángeles Dal Re Saavedra , Jean Dallongeville , Camilla T Damsgaard , Rachel Dankner , Thomas M Dantoft , Parasmani Dasgupta , Saeed Dastgiri , Luc Dauchet , Kairat Davletov , Guy De Backer , Dirk De Bacquer , Giovanni de Gaetano , Stefaan De Henauw , Paula Duarte de Oliveira , David De Ridder , Karin De Ridder , Susanne R de Rooij , Delphine De Smedt , Mohan Deepa , Alexander D Deev , Vincent Jr DeGennaro , Abbas Dehghan , Hélène Delisle , Francis Delpeuch , Stefaan Demarest , Elaine Dennison , Katarzyna Dereń , Valérie Deschamps , Meghnath Dhimal , Augusto F Di Castelnuovo , Juvenal Soares Dias-da-Costa , María Elena Díaz-Sánchez , Alejandro Diaz , Zivka Dika , Shirin Djalalinia , Visnja Djordjic , Ha Tp Do , Annette J Dobson , Maria Benedetta Donati , Chiara Donfrancesco , Silvana P Donoso , Angela Döring , Maria Dorobantu , Ahmad Reza Dorosty , Kouamelan Doua , Nico Dragano , Wojciech Drygas , Jia Li Duan , Charmaine A Duante , Priscilla Duboz , Rosemary B Duda , Vesselka Duleva , Virginija Dulskiene , Samuel C Dumith , Anar Dushpanova , Vilnis Dzerve , Elzbieta Dziankowska-Zaborszczyk , Ricky Eddie , Ebrahim Eftekhar , Eruke E Egbagbe , Robert Eggertsen , Sareh Eghtesad , Gabriele Eiben , Ulf Ekelund , Mohammad El-Khateeb , Jalila El Ati , Denise Eldemire-Shearer , Marie Eliasen , Paul Elliott , Reina Engle-Stone , Macia Enguerran , Rajiv T Erasmus , Raimund Erbel , Cihangir Erem , Louise Eriksen , Johan G Eriksson , Jorge Escobedo-de la Peña , Saeid Eslami , Ali Esmaeili , Alun Evans , David Faeh , Albina A Fakhretdinova , Caroline H Fall , Elnaz Faramarzi , Mojtaba Farjam , Victoria Farrugia Sant'Angelo , Farshad Farzadfar , Mohammad Reza Fattahi , Asher Fawwad , Francisco J Felix-Redondo , Trevor S Ferguson , Romulo A Fernandes , Daniel Fernández-Bergés , Daniel Ferrante , Thomas Ferrao , Marika Ferrari , Marco M Ferrario , Catterina Ferreccio , Eldridge Ferrer , Jean Ferrieres , Thamara Hubler Figueiró , Anna Fijalkowska , Günther Fink , Krista Fischer , Leng Huat Foo , Maria Forsner , Heba M Fouad , Damian K Francis , Maria do Carmo Franco , Ruth Frikke-Schmidt , Guillermo Frontera , Flavio D Fuchs , Sandra C Fuchs , Isti I Fujiati , Yuki Fujita , Matsuda Fumihiko , Takuro Furusawa , Zbigniew Gaciong , Mihai Gafencu , Andrzej Galbarczyk , Henrike Galenkamp , Daniela Galeone , Myriam Galfo , Fabio Galvano , Jingli Gao , Manoli Garcia-de-la-Hera , Marta García-Solano , Dickman Gareta , Sarah P Garnett , Jean-Michel Gaspoz , Magda Gasull , Adroaldo Cesar Araujo Gaya , Anelise Reis Gaya , Andrea Gazzinelli , Ulrike Gehring , Harald Geiger , Johanna M Geleijnse , Ali Ghanbari , Erfan Ghasemi , Oana-Florentina Gheorghe-Fronea , Simona Giampaoli , Francesco Gianfagna , Tiffany K Gill , Jonathan Giovannelli , Glen Gironella , Aleksander Giwercman , Konstantinos Gkiouras , Justyna Godos , Sibel Gogen , Marcel Goldberg , Rebecca A Goldsmith , David Goltzman , Santiago F Gómez , Aleksandra Gomula , Bruna Goncalves Cordeiro da Silva , Helen Gonçalves , David A Gonzalez-Chica , Marcela Gonzalez-Gross , Margot González-Leon , Juan P González-Rivas , Clicerio González-Villalpando , María-Elena González-Villalpando , Angel R Gonzalez , Frederic Gottrand , Antonio Pedro Graça , Sidsel Graff-Iversen , Dušan Grafnetter , Aneta Grajda , Maria G Grammatikopoulou , Ronald D Gregor , Tomasz Grodzicki , Else Karin Grøholt , Anders Grøntved , Giuseppe Grosso , Gabriella Gruden , Dongfeng Gu , Emanuela Gualdi-Russo , Pilar Guallar-Castillón , Andrea Gualtieri , Elias F Gudmundsson , Vilmundur Gudnason , Ramiro Guerrero , Idris Guessous , Andre L Guimaraes , Martin C Gulliford , Johanna Gunnlaugsdottir , Marc J Gunter , Xiu-Hua Guo , Yin Guo , Prakash C Gupta , Rajeev Gupta , Oye Gureje , Beata Gurzkowska , Enrique Gutiérrez-González , Laura Gutierrez , Felix Gutzwiller , Seongjun Ha , Farzad Hadaegh , Charalambos A Hadjigeorgiou , Rosa Haghshenas , Hamid Hakimi , Jytte Halkjær , Ian R Hambleton , Behrooz Hamzeh , Dominique Hange , Abu Am Hanif , Sari Hantunen , Jie Hao , Rachakulla Hari Kumar , Seyed Mohammad Hashemi-Shahri , Maria Hassapidou , Jun Hata , Teresa Haugsgjerd , Jiang He , Yuan He , Yuna He , Regina Heidinger-Felso , Mirjam Heinen , Tatjana Hejgaard , Marleen Elisabeth Hendriks , Rafael Dos Santos Henrique , Ana Henriques , Leticia Hernandez Cadena , Sauli Herrala , Victor M Herrera , Isabelle Herter-Aeberli , Ramin Heshmat , Allan G Hill , Sai Yin Ho , Suzanne C Ho , Michael Hobbs , Michelle Holdsworth , Reza Homayounfar , Clara Homs , Wilma M Hopman , Andrea Rvr Horimoto , Claudia M Hormiga , Bernardo L Horta , Leila Houti , Christina Howitt , Thein Thein Htay , Aung Soe Htet , Maung Maung Than Htike , Yonghua Hu , José María Huerta , Ilpo Tapani Huhtaniemi , Laetitia Huiart , Constanta Huidumac Petrescu , Martijn Huisman , Abdullatif Husseini , Chinh Nguyen Huu , Inge Huybrechts , Nahla Hwalla , Jolanda Hyska , Licia Iacoviello , Jesús M Ibarluzea , Mohsen M Ibrahim , Norazizah Ibrahim Wong , M Arfan Ikram , Violeta Iotova , Vilma E Irazola , Takafumi Ishida , Muhammad Islam , Sheikh Mohammed Shariful Islam , Masanori Iwasaki , Jeremy M Jacobs , Hashem Y Jaddou , Tazeen Jafar , Kenneth James , Kazi M Jamil , Konrad Jamrozik , Imre Janszky , Edward Janus , Juel Jarani , Marjo-Riitta Jarvelin , Grazyna Jasienska , Ana Jelakovic , Bojan Jelakovic , Garry Jennings , Anjani Kumar Jha , Chao Qiang Jiang , Ramon O Jimenez , Karl-Heinz Jöckel , Michel Joffres , Mattias Johansson , Jari J Jokelainen , Jost B Jonas , Jitendra Jonnagaddala , Torben Jørgensen , Pradeep Joshi , Farahnaz Joukar , Dragana P Jovic , Jacek J Jóźwiak , Anne Juolevi , Gregor Jurak , Iulia Jurca Simina , Vesna Juresa , Rudolf Kaaks , Felix O Kaducu , Anthony Kafatos , Eero O Kajantie , Zhanna Kalmatayeva , Ofra Kalter-Leibovici , Yves Kameli , Freja B Kampmann , Kodanda R Kanala , Srinivasan Kannan , Efthymios Kapantais , Argyro Karakosta , Line L Kårhus , Khem B Karki , Marzieh Katibeh , Joanne Katz , Peter T Katzmarzyk , Jussi Kauhanen , Prabhdeep Kaur , Maryam Kavousi , Gyulli M Kazakbaeva , Ulrich Keil , Lital Keinan Boker , Sirkka Keinänen-Kiukaanniemi , Roya Kelishadi , Cecily Kelleher , Han Cg Kemper , Andre P Kengne , Maryam Keramati , Alina Kerimkulova , Mathilde Kersting , Timothy Key , Yousef Saleh Khader , Davood Khalili , Kay-Tee Khaw , Bahareh Kheiri , Motahareh Kheradmand , Alireza Khosravi , Ilse Msl Khouw , Ursula Kiechl-Kohlendorfer , Stefan Kiechl , Japhet Killewo , Dong Wook Kim , Hyeon Chang Kim , Jeongseon Kim , Jenny M Kindblom , Heidi Klakk , Magdalena Klimek , Jeannette Klimont , Jurate Klumbiene , Michael Knoflach , Bhawesh Koirala , Elin Kolle , Patrick Kolsteren , Jürgen König , Raija Korpelainen , Paul Korrovits , Magdalena Korzycka , Jelena Kos , Seppo Koskinen , Katsuyasu Kouda , Viktoria A Kovacs , Sudhir Kowlessur , Slawomir Koziel , Jana Kratenova , Wolfgang Kratzer , Susi Kriemler , Peter Lund Kristensen , Steinar Krokstad , Daan Kromhout , Herculina S Kruger , Ruzena Kubinova , Renata Kuciene , Urho M Kujala , Enisa Kujundzic , Zbigniew Kulaga , R Krishna Kumar , Marie Kunešová , Pawel Kurjata , Yadlapalli S Kusuma , Kari Kuulasmaa , Catherine Kyobutungi , Quang Ngoc La , Fatima Zahra Laamiri , Tiina Laatikainen , Carl Lachat , Youcef Laid , Tai Hing Lam , Christina-Paulina Lambrinou , Edwige Landais , Vera Lanska , Georg Lappas , Bagher Larijani , Tint Swe Latt , Laura Lauria , Maria Lazo-Porras , Gwenaëlle Le Coroller , Khanh Le Nguyen Bao , Agnès Le Port , Tuyen D Le , Jeannette Lee , Jeonghee Lee , Paul H Lee , Nils Lehmann , Terho Lehtimäki , Daniel Lemogoum , Naomi S Levitt , Yanping Li , Merike Liivak , Christa L Lilly , Wei-Yen Lim , M Fernanda Lima-Costa , Hsien-Ho Lin , Xu Lin , Yi-Ting Lin , Lars Lind , Allan Linneberg , Lauren Lissner , Mieczyslaw Litwin , Lijuan Liu , Wei-Cheng Lo , Helle-Mai Loit , Khuong Quynh Long , Luis Lopes , Oscar Lopes , Esther Lopez-Garcia , Tania Lopez , Paulo A Lotufo , José Eugenio Lozano , Janice L Lukrafka , Dalia Luksiene , Annamari Lundqvist , Robert Lundqvist , Nuno Lunet , Charles Lunogelo , Michala Lustigová , Edyta Łuszczki , Guansheng Ma , Jun Ma , Xu Ma , George Ll Machado-Coelho , Aristides M Machado-Rodrigues , Luisa M Macieira , Ahmed A Madar , Stefania Maggi , Dianna J Magliano , Sara Magnacca , Emmanuella Magriplis , Gowri Mahasampath , Bernard Maire , Marjeta Majer , Marcia Makdisse , Päivi Mäki , Fatemeh Malekzadeh , Reza Malekzadeh , Rahul Malhotra , Kodavanti Mallikharjuna Rao , Sofia K Malyutina , Lynell V Maniego , Yannis Manios , Jim I Mann , Fariborz Mansour-Ghanaei , Enzo Manzato , Paula Margozzini , Anastasia Markaki , Oonagh Markey , Eliza Markidou Ioannidou , Pedro Marques-Vidal , Larissa Pruner Marques , Jaume Marrugat , Yves Martin-Prevel , Rosemarie Martin , Reynaldo Martorell , Eva Martos , Katharina Maruszczak , Stefano Marventano , Luis P Mascarenhas , Shariq R Masoodi , Ellisiv B Mathiesen , Prashant Mathur , Alicia Matijasevich , Tandi E Matsha , Christina Mavrogianni , Artur Mazur , Jean Claude N Mbanya , Shelly R McFarlane , Stephen T McGarvey , Martin McKee , Stela McLachlan , Rachael M McLean , Scott B McLean , Breige A McNulty , Sounnia Mediene Benchekor , Jurate Medzioniene , Parinaz Mehdipour , Kirsten Mehlig , Amir Houshang Mehrparvar , Aline Meirhaeghe , Jørgen Meisfjord , Christa Meisinger , Ana Maria B Menezes , Geetha R Menon , Gert Bm Mensink , Maria Teresa Menzano , Alibek Mereke , Indrapal I Meshram , Andres Metspalu , Haakon E Meyer , Jie Mi , Kim F Michaelsen , Nathalie Michels , Kairit Mikkel , Karolina Milkowska , Jody C Miller , Cláudia S Minderico , G K Mini , Juan Francisco Miquel , Mohammad Reza Mirjalili , Daphne Mirkopoulou , Erkin Mirrakhimov , Marjeta Mišigoj-Durakovic , Antonio Mistretta , Veronica Mocanu , Pietro A Modesti , Sahar Saeedi Moghaddam , Bahram Mohajer , Mostafa K Mohamed , Shukri F Mohamed , Kazem Mohammad , Zahra Mohammadi , Noushin Mohammadifard , Reza Mohammadpourhodki , Viswanathan Mohan , Salim Mohanna , Muhammad Fadhli Mohd Yusoff , Iraj Mohebbi , Farnam Mohebi , Marie Moitry , Drude Molbo , Line T Møllehave , Niels C Møller , Dénes Molnár , Amirabbas Momenan , Charles K Mondo , Michele Monroy-Valle , Eric Monterrubio-Flores , Kotsedi Daniel K Monyeki , Jin Soo Moon , Mahmood Moosazadeh , Leila B Moreira , Alain Morejon , Luis A Moreno , Karen Morgan , Suzanne N Morin , Erik Lykke Mortensen , George Moschonis , Malgorzata Mossakowska , Aya Mostafa , Anabela Mota-Pinto , Jorge Mota , Mohammad Esmaeel Motlagh , Jorge Motta , Marcos André Moura-Dos-Santos , Malay K Mridha , Kelias P Msyamboza , Thet Thet Mu , Magdalena Muc , Boban Mugoša , Maria L Muiesan , Parvina Mukhtorova , Martina Müller-Nurasyid , Neil Murphy , Jaakko Mursu , Elaine M Murtagh , Kamarul Imran Musa , Sanja Music Milanovic , Vera Musil , Norlaila Mustafa , Iraj Nabipour , Shohreh Naderimagham , Gabriele Nagel , Balkish M Naidu , Farid Najafi , Harunobu Nakamura , Jana Námešná , Ei Ei K Nang , Vinay B Nangia , Martin Nankap , Sameer Narake , Paola Nardone , Matthias Nauck , William A Neal , Azim Nejatizadeh , Chandini Nekkantti , Keiu Nelis , Liis Nelis , Ilona Nenko , Martin Neovius , Flavio Nervi , Chung T Nguyen , Nguyen D Nguyen , Quang Ngoc Nguyen , Ramfis E Nieto-Martínez , Yury P Nikitin , Guang Ning , Toshiharu Ninomiya , Sania Nishtar , Marianna Noale , Oscar A Noboa , Helena Nogueira , Teresa Norat , Maria Nordendahl , Børge G Nordestgaard , Davide Noto , Natalia Nowak-Szczepanska , Mohannad Al Nsour , Irfan Nuhoglu , Eha Nurk , Terence W O'Neill , Dermot O'Reilly , Galina Obreja , Caleb Ochimana , Angélica M Ochoa-Avilés , Eiji Oda , Kyungwon Oh , Kumiko Ohara , Claes Ohlsson , Ryutaro Ohtsuka , Örn Olafsson , Maria Teresa A Olinto , Isabel O Oliveira , Mohd Azahadi Omar , Altan Onat , Sok King Ong , Lariane M Ono , Pedro Ordunez , Rui Ornelas , Ana P Ortiz , Pedro J Ortiz , Merete Osler , Clive Osmond , Sergej M Ostojic , Afshin Ostovar , Johanna A Otero , Kim Overvad , Ellis Owusu-Dabo , Fred Michel Paccaud , Cristina Padez , Ioannis Pagkalos , Elena Pahomova , Karina Mary de Paiva , Andrzej Pajak , Domenico Palli , Alberto Palloni , Luigi Palmieri , Wen-Harn Pan , Songhomitra Panda-Jonas , Arvind Pandey , Francesco Panza , Dimitrios Papandreou , Soon-Woo Park , Suyeon Park , Winsome R Parnell , Mahboubeh Parsaeian , Ionela M Pascanu , Patrick Pasquet , Nikhil D Patel , Ivan Pecin , Mangesh S Pednekar , Nasheeta Peer , Gao Pei , Sergio Viana Peixoto , Markku Peltonen , Alexandre C Pereira , Marco A Peres , Napoleón Pérez-Farinós , Cynthia M Pérez , Valentina Peterkova , Annette Peters , Astrid Petersmann , Janina Petkeviciene , Ausra Petrauskiene , Emanuela Pettenuzzo , Niloofar Peykari , Son Thai Pham , Rafael N Pichardo , Daniela Pierannunzio , Iris Pigeot , Hynek Pikhart , Aida Pilav , Lorenza Pilotto , Francesco Pistelli , Freda Pitakaka , Aleksandra Piwonska , Andreia N Pizarro , Pedro Plans-Rubió , Bee Koon Poh , Hermann Pohlabeln , Raluca M Pop , Stevo R Popovic , Miquel Porta , Georg Posch , Anil Poudyal , Dimitrios Poulimeneas , Hamed Pouraram , Farhad Pourfarzi , Akram Pourshams , Hossein Poustchi , Rajendra Pradeepa , Alison J Price , Jacqueline F Price , Rui Providencia , Jardena J Puder , Iveta Pudule , Soile E Puhakka , Maria Puiu , Margus Punab , Radwan F Qasrawi , Mostafa Qorbani , Tran Quoc Bao , Ivana Radic , Ricardas Radisauskas , Salar Rahimikazerooni , Mahfuzar Rahman , Mahmudur Rahman , Olli Raitakari , Manu Raj , Ellina Rakhimova , Sherali Rakhmatulloev , Ivo Rakovac , Sudha Ramachandra Rao , Ambady Ramachandran , Jacqueline Ramke , Elisabete Ramos , Rafel Ramos , Lekhraj Rampal , Sanjay Rampal , Vayia Rarra , Ramon A Rascon-Pacheco , Mette Rasmussen , Cassiano Ricardo Rech , Josep Redon , Paul Ferdinand M Reganit , Valéria Regecová , Luis Revilla , Abbas Rezaianzadeh , Lourdes Ribas-Barba , Robespierre Ribeiro , Elio Riboli , Adrian Richter , Fernando Rigo , Natascia Rinaldo , Tobias F Rinke de Wit , Ana Rito , Raphael M Ritti-Dias , Juan A Rivera , Cynthia Robitaille , Romana Roccaldo , Daniela Rodrigues , Fernando Rodríguez-Artalejo , María Del Cristo Rodriguez-Perez , Laura A Rodríguez-Villamizar , Ulla Roggenbuck , Rosalba Rojas-Martinez , Nipa Rojroongwasinkul , Dora Romaguera , Elisabetta L Romeo , Rafaela V Rosario , Annika Rosengren , Ian Rouse , Joel Gr Roy , Adolfo Rubinstein , Frank J Rühli , Jean-Bernard Ruidavets , Blanca Sandra Ruiz-Betancourt , Maria Ruiz-Castell , Emma Ruiz Moreno , Iuliia A Rusakova , Kenisha Russell Jonsson , Paola Russo , Petra Rust , Marcin Rutkowski , Charumathi Sabanayagam , Elena Sacchini , Harshpal S Sachdev , Alireza Sadjadi , Ali Reza Safarpour , Saeid Safiri , Nader Saki , Benoit Salanave , Eduardo Salazar Martinez , Diego Salmerón , Veikko Salomaa , Jukka T Salonen , Massimo Salvetti , Margarita Samoutian , Jose Sánchez-Abanto , Sandjaja , Susana Sans , Loreto Santa Marina , Diana A Santos , Ina S Santos , Lèlita C Santos , Maria Paula Santos , Osvaldo Santos , Rute Santos , Sara Santos Sanz , Jouko L Saramies , Luis B Sardinha , Nizal Sarrafzadegan , Thirunavukkarasu Sathish , Kai-Uwe Saum , Savvas Savva , Mathilde Savy , Norie Sawada , Mariana Sbaraini , Marcia Scazufca , Beatriz D Schaan , Angelika Schaffrath Rosario , Herman Schargrodsky , Anja Schienkiewitz , Sabine Schipf , Carsten O Schmidt , Ida Maria Schmidt , Peter Schnohr , Ben Schöttker , Sara Schramm , Stine Schramm , Helmut Schröder , Constance Schultsz , Aletta E Schutte , Aye Aye Sein , Rusidah Selamat , Vedrana Sember , Abhijit Sen , Idowu O Senbanjo , Sadaf G Sepanlou , Victor Sequera , Luis Serra-Majem , Jennifer Servais , Ludmila Ševcíková , Svetlana A Shalnova , Teresa Shamah-Levy , Morteza Shamshirgaran , Coimbatore Subramaniam Shanthirani , Maryam Sharafkhah , Sanjib K Sharma , Jonathan E Shaw , Amaneh Shayanrad , Ali Akbar Shayesteh , Lela Shengelia , Zumin Shi , Kenji Shibuya , Hana Shimizu-Furusawa , Dong Wook Shin , Majid Shirani , Rahman Shiri , Namuna Shrestha , Khairil Si-Ramlee , Alfonso Siani , Rosalynn Siantar , Abla M Sibai , Antonio M Silva , Diego Augusto Santos Silva , Mary Simon , Judith Simons , Leon A Simons , Agneta Sjöberg , Michael Sjöström , Gry Skodje , Jolanta Slowikowska-Hilczer , Przemyslaw Slusarczyk , Liam Smeeth , Hung-Kwan So , Fernanda Cunha Soares , Grzegorz Sobek , Eugène Sobngwi , Morten Sodemann , Stefan Söderberg , Moesijanti Ye Soekatri , Agustinus Soemantri , Reecha Sofat , Vincenzo Solfrizzi , Mohammad Hossein Somi , Emily Sonestedt , Yi Song , Thorkild Ia Sørensen , Elin P Sørgjerd , Charles Sossa Jérome , Victoria E Soto-Rojas , Aïcha Soumaré , Slavica Sovic , Bente Sparboe-Nilsen , Karen Sparrenberger , Angela Spinelli , Igor Spiroski , Jan A Staessen , Hanspeter Stamm , Maria G Stathopoulou , Kaspar Staub , Bill Stavreski , Jostein Steene-Johannessen , Peter Stehle , Aryeh D Stein , George S Stergiou , Jochanan Stessman , Ranko Stevanovic , Jutta Stieber , Doris Stöckl , Tanja Stocks , Jakub Stokwiszewski , Ekaterina Stoyanova , Gareth Stratton , Karien Stronks , Maria Wany Strufaldi , Lela Sturua , Ramón Suárez-Medina , Machi Suka , Chien-An Sun , Johan Sundström , Yn-Tz Sung , Jordi Sunyer , Paibul Suriyawongpaisal , Boyd A Swinburn , Rody G Sy , Holly E Syddall , René Charles Sylva , Moyses Szklo , Lucjan Szponar , E Shyong Tai , Mari-Liis Tammesoo , Abdonas Tamosiunas , Eng Joo Tan , Xun Tang , Maya Tanrygulyyeva , Frank Tanser , Yong Tao , Mohammed Rasoul Tarawneh , Jakob Tarp , Carolina B Tarqui-Mamani , Radka Taxová Braunerová , Anne Taylor , Julie Taylor , Félicité Tchibindat , William R Tebar , Grethe S Tell , Tania Tello , Yih Chung Tham , K R Thankappan , Holger Theobald , Xenophon Theodoridis , Lutgarde Thijs , Nihal Thomas , Betina H Thuesen , Lubica Tichá , Erik J Timmermans , Anne Tjonneland , Hanna K Tolonen , Janne S Tolstrup , Murat Topbas , Roman Topór-Madry , Liv Elin Torheim , María José Tormo , Michael J Tornaritis , Maties Torrent , Laura Torres-Collado , Stefania Toselli , Giota Touloumi , Pierre Traissac , Thi Tuyet-Hanh Tran , Dimitrios Trichopoulos , Antonia Trichopoulou , Oanh Th Trinh , Atul Trivedi , Lechaba Tshepo , Maria Tsigga , Shoichiro Tsugane , Azaliia M Tuliakova , Marshall K Tulloch-Reid , Fikru Tullu , Tomi-Pekka Tuomainen , Jaakko Tuomilehto , Maria L Turley , Gilad Twig , Per Tynelius , Themistoklis Tzotzas , Christophe Tzourio , Peter Ueda , Eunice Ugel , Flora Am Ukoli , Hanno Ulmer , Belgin Unal , Zhamyila Usupova , Hannu Mt Uusitalo , Nalan Uysal , Justina Vaitkeviciute , Gonzalo Valdivia , Susana Vale , Damaskini Valvi , Rob M van Dam , Johan Van der Heyden , Yvonne T van der Schouw , Koen Van Herck , Hoang Van Minh , Natasja M 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Weghuber , Wenbin Wei , Aneta Weres , Bo Werner , Peter H Whincup , Kurt Widhalm , Indah S Widyahening , Andrzej Wiecek , Rainford J Wilks , Johann Willeit , Peter Willeit , Julianne Williams , Tom Wilsgaard , Bogdan Wojtyniak , Roy A Wong-McClure , Andrew Wong , Jyh Eiin Wong , Tien Yin Wong , Jean Woo , Mark Woodward , Frederick C Wu , Jianfeng Wu , Li Juan Wu , Shouling Wu , Haiquan Xu , Liang Xu , Nor Azwany Yaacob , Uruwan Yamborisut , Weili Yan , Ling Yang , Xiaoguang Yang , Yang Yang , Nazan Yardim , Mehdi Yaseri , Tabara Yasuharu , Xingwang Ye , Panayiotis K Yiallouros , Moein Yoosefi , Akihiro Yoshihara , Qi Sheng You , San-Lin You , Novie O Younger-Coleman , Safiah Md Yusof , Ahmad Faudzi Yusoff , Luciana Zaccagni , Vassilis Zafiropulos , Ahmad A Zainuddin , Seyed Rasoul Zakavi , Farhad Zamani , Sabina Zambon , Antonis Zampelas , Hana Zamrazilová , Maria Elisa Zapata , Abdul Hamid Zargar , Ko Ko Zaw , Tomasz Zdrojewski , Kristyna Zejglicova , Tajana Zeljkovic Vrkic , Yi Zeng 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Lundqvist, Robert, Lunet, Nuno, Lunogelo, Charle, Lustigová, Michala, Łuszczki, Edyta, Ma, Guansheng, Ma, Jun, Ma, Xu, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macieira, Luisa M, Madar, Ahmed A, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Mäki, Päivi, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yanni, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Margozzini, Paula, Markaki, Anastasia, Markey, Oonagh, Ioannidou, Eliza Markidou, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yve, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Maruszczak, Katharina, Marventano, Stefano, Mascarenhas, Luis P, Masoodi, Shariq R, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matsha, Tandi E, Mavrogianni, Christina, Mazur, Artur, Mbanya, Jean Claude N, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Menezes, Ana Maria B, Menon, Geetha R, Mensink, Gert BM, Menzano, Maria Teresa, Mereke, Alibek, Meshram, Indrapal I, Metspalu, Andre, Meyer, Haakon E, Mi, Jie, Michaelsen, Kim F, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Durakovic, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Molbo, Drude, Møllehave, Line T, Møller, Niels C, Molnár, Déne, Momenan, Amirabba, Mondo, Charles K, Monroy-Valle, Michele, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Morin, Suzanne N, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muc, Magdalena, Mugoša, Boban, Muiesan, Maria L, Mukhtorova, Parvina, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M, Najafi, Farid, Nakamura, Harunobu, Námešná, Jana, Ei K Nang, Ei, Nangia, Vinay B, Nankap, Martin, Narake, Sameer, Nardone, Paola, Nauck, Matthia, Neal, William A, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nelis, Lii, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nuhoglu, Irfan, Nurk, Eha, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Clae, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Elli, Paccaud, Fred Michel, Padez, Cristina, Pagkalos, Ioanni, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Papandreou, Dimitrio, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Pei, Gao, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Marco A, Pérez-Farinós, Napoleón, Pérez, Cynthia M, Peterkova, Valentina, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Pettenuzzo, Emanuela, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pierannunzio, Daniela, Pigeot, Iri, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubió, Pedro, Poh, Bee Koon, Pohlabeln, Hermann, Pop, Raluca M, Popovic, Stevo R, Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrio, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Soile E, Puiu, Maria, Punab, Margu, Qasrawi, Radwan F, Qorbani, Mostafa, Bao, Tran Quoc, Radic, Ivana, Radisauskas, Ricarda, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina, Rakhmatulloev, Sherali, Rakovac, Ivo, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Rarra, Vayia, Rascon-Pacheco, Ramon A, Rasmussen, Mette, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecová, Valéria, Revilla, Lui, Rezaianzadeh, Abba, Ribas-Barba, Lourde, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rinaldo, Natascia, de Wit, Tobias F Rinke, Rito, Ana, Ritti-Dias, Raphael M, Rivera, Juan A, Robitaille, Cynthia, Roccaldo, Romana, Rodrigues, Daniela, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A, Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Roy, Joel GR, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A, Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safiri, Saeid, Saki, Nader, Salanave, Benoit, Martinez, Eduardo Salazar, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sandjaja, null, Sans, Susana, Marina, Loreto Santa, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Sanz, Sara Santo, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savva, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schipf, Sabine, Schmidt, Carsten O, Schmidt, Ida Maria, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sein, Aye Aye, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Victor, Serra-Majem, Lui, Servais, Jennifer, Ševcíková, Ludmila, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Antonio M, Silva, Diego Augusto Santo, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skodje, Gry, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinu, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Jérome, Charles Sossa, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stathopoulou, Maria G, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stevanovic, Ranko, Stieber, Jutta, Stöckl, Dori, Stocks, Tanja, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Syddall, Holly E, Sylva, René Charle, Szklo, Moyse, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thomas, Nihal, Thuesen, Betina H, Tichá, Lubica, Timmermans, Erik J, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J, Torrent, Matie, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzotzas, Themistokli, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Pérez, Patricia, Vasan, Senthil K, Vega, Toma, Veidebaum, Tooma, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thoma, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Weber, Adelheid, Wedderkopp, Niel, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassili, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antoni, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, Filippi, Sarah, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: Population -- Health aspects, Leanness, Baixo peso/Underweight, none, Double burden, alipainoisuus, tulotaso, global health, systematic analysis, Sedentary behaviors, RC1200, Prospective associations, 0302 clinical medicine, underweight, nälänhätä, Biology (General), skin and connective tissue diseases, Children, ComputingMilieux_MISCELLANEOUS, Body mass index, Human Nutrition & Health, education.field_of_study, Humane Voeding & Gezondheid, ylipaino, General Medicine, kansainvälinen vertailu, 3. Good health, World health, Medicine, A100 Pre-clinical Medicine, Population distribution, medicine.medical_specialty, QH301-705.5, Science, Socio-culturale, Nursing, Social sciences, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Thinness, SDG 3 - Good Health and Well-being, BMI, epidemiology, obesity, None, Humans, Obesidade/Obesity, SDG 2 - Zero Hunger, education, VLAG, US adults, Omvårdnad, body mass index, malnutrition, obesity, underweight, nutritional and metabolic diseases, medicine.disease, terveellisyys, Obesity, Faculdade de Ciências Sociais, Body Mass Index, Prevalence, Risk Factors, General Biochemistry, WIAS, lihavuus, RA, Demography, N.A, double burden, Settore MED/09 - Medicina Interna, alueelliset erot, Nutrition and Disease, Animal Nutrition, [SDV]Life Sciences [q-bio], Medizin, 030204 cardiovascular system & hematology, 0601 Biochemistry and Cell Biology, Change distribution of body mass index, RA0421, Voeding en Ziekte, Epidemiology, Medicine and Health Sciences, Global health, Índice de massa corporal/Body Mass Index, 030212 general & internal medicine, Underweight, painoindeksi, 2. Zero hunger, General Neuroscience, aliravitsemus, elintarvikkeet, health, Public Health, Global Health, Social Medicine and Epidemiology, Diervoeding, 3142 Public health care science, environmental and occupational health, purl.org/pe-repo/ocde/ford#3.01.03 [https], Chinese adults, pooled analysis, medicine.symptom, Diet quality, B120 Physiology, Research Article, trends, purl.org/pe-repo/ocde/ford#1.06.03 [https], prevalence, Population, Mothers, Genetics and Molecular Biology, 3121 Internal medicine, medicine, Life Science, ddc:610, 3125 Otorhinolaryngology, ophthalmology, kehonkoostumus, Nutrition, Australian adults, General Immunology and Microbiology, purl.org/pe-repo/ocde/ford#3.01.04 [https], Ciências sociais, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, Epidemiology and Global Health, sense organs, Estilos de Vida e Impacto na Saúde
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions., Wellcome Trust, Medical Research Council, peer-reviewed
Published: 2021

31. Does naringenin supplementation improve lipid profile, severity of hepatic steatosis and probability of liver fibrosis in overweight/obese patients with NAFLD? A randomised, double‐blind, placebo‐controlled, clinical trial

Author: Zahra Namkhah, Siavash Mansouri, Mohammad Javad Hosseinzadeh-Attar, Mehdi Yaseri, Seyed Mahdi Rezayat, and Fatemeh Naeini
Subjects: Liver Cirrhosis, Naringenin, medicine.medical_specialty, Iran, Overweight, Placebo, Gastroenterology, chemistry.chemical_compound, Double-Blind Method, Non-alcoholic Fatty Liver Disease, Internal medicine, Nonalcoholic fatty liver disease, medicine, Humans, Obesity, Probability, Triglyceride, medicine.diagnostic_test, business.industry, Fatty liver, General Medicine, medicine.disease, Lipids, digestive system diseases, Liver, chemistry, Dietary Supplements, Flavanones, Steatosis, medicine.symptom, business, Lipid profile
Abstract: BACKGROUND AND OBJECTIVES Naringenin has been reported to have some promising pharmacological effects on the management of obesity and related metabolic complications including non-alcoholic fatty liver disease (NAFLD). Therefore, the present clinical trial study was done to assess the effects of naringenin supplementation on lipid profile, aminotransferase levels, severity of steatosis, as well as probability of fibrosis in overweight/obese patients with NAFLD. MATERIALS AND METHODS This placebo-controlled, parallel randomised, double-blind clinical trial study was conducted on 44 eligible overweight/obese patients with NAFLD (naringenin-treated group (n = 22), control group (n = 22)) referred to the national Iranian oil company (NIOC) Central Hospital, Tehran City, Tehran Province, Iran. Participants were randomly assigned to receive naringenin capsules (100 mg) and identical placebo capsules twice a day, before lunch and dinner, for 4 weeks. The primary outcomes were improvement of liver steatosis and NAFLD fibrosis score (NFS), and secondary outcomes included changes in levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST) and lipid profile. RESULTS Naringenin consumption significantly reduced percentages of NAFLD grades (P
Published: 2021

32. The comparison of censored quantile regression methods in prognosis factors of breast cancer survival

Author: Shahpar Haghighat, Akram Yazdani, Hojjat Zeraati, Ahmad Kaviani, and Mehdi Yaseri
Subjects: Percentile, Science, Breast Neoplasms, Kaplan-Meier Estimate, Article, Medical research, Breast cancer, Risk Factors, Statistics, Covariate, medicine, Humans, Neoplasm Staging, Proportional Hazards Models, Cancer, Mathematics, Models, Statistical, Multidisciplinary, Proportional hazards model, Hazard ratio, Age Factors, Middle Aged, Quantile function, Prognosis, medicine.disease, Survival Analysis, Quantile regression, Multivariate Analysis, Medicine, Regression Analysis, Female, Quantile
Abstract: The Cox proportional hazards model is a widely used statistical method for the censored data that model the hazard rate rather than survival time. To overcome complexity of interpreting hazard ratio, quantile regression was introduced for censored data with more straightforward interpretation. Different methods for analyzing censored data using quantile regression model, have been introduced. The quantile regression approach models the quantile function of failure time and investigates the covariate effects in different quantiles. In this model, the covariate effects can be changed for patients with different risk and is a flexible model for controlling the heterogeneity of covariate effects. We illustrated and compared five methods in quantile regression for right censored data included Portnoy, Wang and Wang, Bottai and Zhang, Yang and De Backer methods. The comparison was made through the use of these methods in modeling the survival time of breast cancer. According to the results of quantile regression models, tumor grade and stage of the disease were identified as significant factors affecting 20th percentile of survival time. In Bottai and Zhang method, 20th percentile of survival time for a case with higher unit of stage decreased about 14 months and 20th percentile of survival time for a case with higher grade decreased about 13 months. The quantile regression models acted the same to determine prognostic factors of breast cancer survival in most of the time. The estimated coefficients of five methods were close to each other for quantiles lower than 0.1 and they were different from quantiles upper than 0.1.
Published: 2021

33. The effects of preoperative supplementation with a combination of beta-hydroxy-beta-methylbutyrate, arginine, and glutamine on inflammatory and hematological markers of patients with heart surgery: a randomized controlled trial

Author: Mona Norouzi, Azadeh Nadjarzadeh, Majid Maleki, Sayyed Saeid Khayyatzadeh, Saeid Hosseini, Mehdi Yaseri, and Hamed Fattahi
Subjects: Adult, RD1-811, Glutamine, General Medicine, Middle Aged, Arginine, Heart surgery, HMB, Double-Blind Method, Dietary Supplements, Valerates, Humans, Surgery, Cardiac Surgical Procedures, Muscle, Skeletal, Beta-hydroxy-beta-methylbutyrate, Aged
Abstract: Background Cardiac surgery is associated with a widespread inflammatory response, by an additional release of free radicals. Due to the importance of these patient’s nutritional status, the present study was designed to evaluate the effectiveness of supplementation with a combination of glutamine, β-hydroxy-β-methylbutyrate (HMB) and arginine in patients undergoing to the heart surgery. Methods The experiment was performed in 1 month (30 days) before cardiac surgery. patients were asked to take 2 sachets of Heallagen® (a combination of 7 g l-arginine, 7 g l-glutamine, and 1.5 g daily HMB) or placebo with identical appearance and taste (maltodextrin) with 120 cc of water. Clinical and biochemical factors were evaluated in the baseline and end of the study. Results Totally, 60 preoperative patients (30 interventions and 30 placeboes) with a mean age of 53.13 ± 14.35 years participated in the study. Subjects in Heallagen® group had a lower serum levels of interleukin-6 (P = 0.023), erythrocyte sedimentation rate (P Conclusion In the patients undergoing heart surgery, Heallagen® significantly improved some of the inflammatory factors and hematological parameters. These results need to be confirmed in a larger trial. Trial registration: The protocol of the study was registered in the IRCT.ir with registration no. IRCT20120913010826N31 at 13/10/2020.
Published: 2021

34. National treatment outcome and predictors of death and treatment failure in multidrug-resistant tuberculosis in Ethiopia: a 10-year retrospective cohort study

Author: Ephrem Tesfaye, Million Molla Sisay, Kourosh Holakouie-Naieni, Habteyes Hailu Tola, Mohammad Ali Mansournia, Zemedu Mahamed, Dinka Fikadu Gamtesa, and Mehdi Yaseri
Subjects: Adult, medicine.medical_specialty, Tuberculosis, Antitubercular Agents, HIV Infections, Internal medicine, Epidemiology, Tuberculosis, Multidrug-Resistant, medicine, Humans, Prospective Studies, Treatment Failure, Prospective cohort study, Survival analysis, Aged, Retrospective Studies, business.industry, Mortality rate, Public health, Hazard ratio, public health, Retrospective cohort study, General Medicine, medicine.disease, Treatment Outcome, Infectious Diseases, tuberculosis, tropical medicine, Medicine, epidemiology, Ethiopia, business
Abstract: ObjectivesTreatment success rate in patients treated for multidrug-resistant tuberculosis (MDR-TB) is low, but predictors of treatment failure and death have been under-reported. Thus, we aimed to determine the national proportion of treatment success rate in the past 10 years and factors that predict treatment failure and death in patients with MDR-TB in Ethiopia.SettingA retrospective cohort study with a 10-years follow-up period was conducted in 42 MDR-TB treatment-initiating centres in Ethiopia.ParticipantsA total of 3395 adult patients with MDR-TB who had final treatment outcome and who were treated under national TB programme were included. Data were collected from clinical charts, registration books and laboratory reports. Competing risk survival analysis model with robust standard errors (SE) was used to determine the predictors of treatment failure and death.Primary and secondary outcomesTreatment outcome was a primary outcome whereas predictors of treatment failure and death were a secondary outcome.ResultsThe proportion of treatment success was 75.7%, death rate was 12.8%, treatment failure was 1.7% and lost to follow-up was 9.7%. The significant predictors of death were older age (adjusted hazard ratio (AHR)=1.03; 95% CI 1.03 to 1.05; pConclusionIn the past 10 years, although MDR-TB treatment success in Ethiopia has been consistently favourable, the proportion of patients who died is still considerable. Death could be attributed to advanced age, HIV infection and anaemia. Prospective cohort studies are necessary to further explore the potentially modifiable predictors of treatment failure.
Published: 2021

35. Peripapillary optical coherence tomography as an alternative to fluorescein angiography for monitoring Behcet's retinal vasculitis

Author: Mohammad Zarei, Hamed Etesali, Nazanin Ebrahimiadib, Mehdi Yaseri, and Hossein Pesarakli
Subjects: Adult, Male, medicine.medical_specialty, Scoring system, genetic structures, Adolescent, Science, Vasculitis syndromes, Nerve fiber layer, Article, chemistry.chemical_compound, Young Adult, Uveal diseases, Nerve Fibers, Optical coherence tomography, Ophthalmology, medicine, Humans, Fluorescein Angiography, Monitoring, Physiologic, Retinal Vasculitis, Multidisciplinary, medicine.diagnostic_test, business.industry, Retinal vasculitis, Behcet Syndrome, Retinal Vessels, Retinal, Mean age, Middle Aged, Fluorescein angiography, medicine.disease, Retinal diseases, medicine.anatomical_structure, chemistry, Medicine, Female, business, Tomography, Optical Coherence
Abstract: To study the correlation of OCT parameters including central subfield macular thickness (CSMT), peripapillary retinal thickness (PRT), and peripapillary retinal nerve fiber layer thickness (PNFLT) with fluorescein angiography (FA) in evaluation of inflammatory activity in Behcet’s retinal vasculitis. In this case-series, concurrent FA and OCT were performed. A scoring system was devised for FA. PNFLT in 3.4-mm-diameter circle as well as PRT in doughnut shaped regions between the 1-mm- and 2.2-mm-diameter and between the 2.2-mm- and 3.45-mm-diameter circles was measured. The correlation of FA and OCT parameters was analyzed. A total of 105 sets of FA from 28 eyes (15 patients) were reviewed. Four (26.6%) were female and mean age was 31.6 ± 8.49 years. Each micron increase in CSMT, PRT2.2, PRT3.45, and PNFLT, caused a rise of 0.018 (95% CI 0.008–0.027, P
Published: 2021

36. Are levels of adipokines and micronutrients different in male adult smokers and non-smokers? A case-control study

Author: Safieh Firouzi, Mahsa Malekahmadi, Mahmoud Djalali, Mohammad Hassan Javanbakht, Nilufar Shokuhi, Mehdi Yaseri, Mina Abdolahi, Meysam Zarezadeh, Jamshid Gholizadeh Navashenaq, Niyaz Mohammadzadeh Honarvar, and Naseh Pahlavani
Subjects: Adult, Male, Nutrition and Dietetics, Tumor Necrosis Factor-alpha, Endocrinology, Diabetes and Metabolism, Smoking, Non-Smokers, Middle Aged, Young Adult, Endocrinology, Adipokines, Case-Control Studies, Humans, Micronutrients
Abstract: Smoking is a common public problem leading to increases in oxidative stress and decreases in the levels of some micronutrients, finally affecting adipokine levels. The aim of this study was to compare the serum levels of omentin (intelectin-1), chemerin, TNF-α, and some micronutrient intakes in male smokers and non-smokers.40 male smokers and 40 male non-smokers with a mean age of 38.6±14.1 years were included in this study. Serum levels of omentin, chemerin, and TNF-α were measured. To calculate the daily intake of energy, carbohydrate, protein, fat, and some of the micronutrients, the 24-h recall and semi-quantitative food frequency questionnaire (FFQ) was used.Omentin, chemerin, and TNF-α levels in male smokers were lower than non-smokers, but these differences were not statistically significant. However, after adjustment for total and saturated fat intakes and age, omentin (β=138.4, p=0.027) and TNF-α (β=144.5, p=0.015) revealed significant differences.The serum levels of omentin, chemerin, TNF-α, and some micronutrient intakes were not significantly different between smokers and non-smokers. Further population studies are needed to clarify this subject.
Published: 2021

37. Association of overweight and obesity with the prevalence and incidence of pressure ulcers: A systematic review and meta-analysis

Author: Elham Alipoor, Mehdi Yaseri, Parvaneh Mehrdadi, and Mohammad Javad Hosseinzadeh-Attar
Subjects: medicine.medical_specialty, Overweight, Critical Care and Intensive Care Medicine, Odds, Quality of life, Thinness, Risk Factors, Internal medicine, medicine, Odds Ratio, Prevalence, Humans, Obesity, Pressure Ulcer, Nutrition and Dietetics, business.industry, Incidence (epidemiology), Incidence, medicine.disease, Observational Studies as Topic, Meta-analysis, Observational study, medicine.symptom, Underweight, business
Abstract: Summary Background & aim Pressure ulcers challenge the health status, complicate medical conditions, and affect quality of life. The aim of this systematic review and meta-analysis was to investigate the role of obesity and body weight status, as potentially modifiable risk factors, in the incidence and prevalence of pressure ulcers. Methods A systematic search of observational studies was performed to assess documents published between January 1990 and December 2019 in PubMed and Scopus. Finally, 17 articles with total sample size of 2228724 in the prevalence and 218178 in the incidence study were included in the meta-analysis. Results The pooled data analysis showed no significant effect of obesity on odds of pressure ulcers’ prevalence (OR 0.91, 95% CI 0.65 to 1.27, P = 0.579, I2 = 84.8%) or incidence (OR 0.97, 95% CI 0.56 to 1.66, P = 0.905, I2 = 89.8%) compared with non-obese individuals. Overweight was associated with significantly lower odds of prevalence of pressure ulcers compared to non-overweight individuals (OR 0.54, 95% CI 0.33 to 0.88, P = 0.014, I2 = 90.2%). The subgroup analyses showed significantly higher odds of prevalence (OR 2.38, 95% CI 1.72 to 3.29, P Conclusion This systematic review and meta-analysis showed no significant effect of obesity or morbid obesity on the odds of pressure ulcers. Additionally, overweight was associated with lower odds of pressure ulcers while underweight significantly increased the odds of pressure injuries.
Published: 2021

38. Preferences of Iranian average risk population for colorectal cancer screening tests

Author: Sara Emamgholipour Sefiddashti, Alireza Delavari, Mehdi Yaseri, Vajiheh Ramezani Doroh, and Ali Akbarisari
Subjects: Male, Colorectal cancer, Population, Iran, Correlation, 03 medical and health sciences, 0302 clinical medicine, Mixed logit, Surveys and Questionnaires, Humans, Medicine, 030212 general & internal medicine, education, Early Detection of Cancer, Aged, Discrete choice, education.field_of_study, business.industry, Health Policy, Mortality rate, Patient Preference, Regression analysis, Middle Aged, medicine.disease, General Business, Management and Accounting, Test (assessment), 030220 oncology & carcinogenesis, Female, Colorectal Neoplasms, business, Demography
Abstract: Purpose The purpose of this paper is to explore the preferences of the average risk Iranian population for colorectal cancer (CRC) screening tests. Design/methodology/approach A standard stated-preferences method with discrete choice models was used to identify the preferences. Data about socio-demographic status, health status and preferences for CRC screening tests were collected by a structured questionnaire that was completed by 500 people aged 50–75 years. Mixed logit model was used to analyze the preferences. Findings The regression model showed that the test process, pain, place, frequency, preparation, sensitivity, complication risk, mortality rate and cost were the final attributes; that had a statistically significant correlation with the preferences of the people in choosing CRC screening tests. The socio-demographic and health status of participants had no significant correlation with the individuals’ preferences. Practical implications This study provides insight into how different characteristics of a CRC screening test might influence the preferences of individuals about that test. Originality/value This was the first study of this type in Iran to elicit the preferences of the average risk population for CRC screening tests using a discrete choice model.
Published: 2019

39. Premedication With Midazolam or Haloperidol to Prevent Recovery Agitation in Adults Undergoing Procedural Sedation With Ketamine: A Randomized Double-Blind Clinical Trial

Author: Ali Abdolrazaghnejad, A. Akhlaghi, Mehdi Yaseri, Pooya Payandemehr, and Narjes Akhlaghi
Subjects: Adult, Male, Midazolam, Premedication, Sedation, Conscious Sedation, Anxiety, Placebo, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Double-Blind Method, medicine, Haloperidol, Humans, Ketamine, 030212 general & internal medicine, business.industry, 030208 emergency & critical care medicine, Middle Aged, Confidence interval, Clinical trial, Treatment Outcome, Anesthesia, Emergency Medicine, Administration, Intravenous, Female, medicine.symptom, Emergency Service, Hospital, business, medicine.drug
Abstract: Study objective We evaluate the effect of midazolam and haloperidol premedication for reducing ketamine-induced recovery agitation in adult patients undergoing procedural sedation. We also compare physician satisfaction and recovery time. Methods We randomized emergency department patients older than 18 years who needed procedural sedation to receive 1 of the following 3 interventions in double-blind fashion 5 minutes before receiving intravenous ketamine at 1 mg/kg: intravenous distilled water, intravenous midazolam at 0.05 mg/kg, or intravenous haloperidol at 5 mg. Our main study outcomes were recovery agitation as assessed by the maximum observed Pittsburgh Agitation Scale score and by the Richmond Agitation-Sedation Scale score at 5, 15, and 30 minutes after ketamine administration. Our secondary outcomes were clinician satisfaction and recovery duration. Results We enrolled 185 subjects. The maximum Pittsburgh Agitation Scale score was significantly less with midazolam compared with placebo (difference 3; 95% confidence interval 1.27 to 4.72) and with haloperidol compared with placebo (difference 3; 95% confidence interval 1.25 to 4.75), and Richmond Agitation-Sedation Scale scores at 5, 15, and 30 minutes trended lower with the active agents. Midazolam and haloperidol significantly delayed recovery but did not alter overall clinician satisfaction. Conclusion For adult procedural sedation, premedication with either midazolam 0.05 mg/kg or haloperidol 5 mg intravenously significantly reduces ketamine-induced recovery agitation while delaying recovery.
Published: 2019

40. Mapping EORTC-QLQ-C30 and QLQ-CR29 onto EQ-5D-5L in Colorectal Cancer Patients

Author: Mehdi Yaseri, Azin Nahvijou, Hosein Ameri, Mahmood Yousefi, Ali Akbari Sari, and Mohammad Arab
Subjects: Male, Intraclass correlation, Colorectal cancer, business.industry, Eortc qlq c30, Gastroenterology, Middle Aged, medicine.disease, Correlation, 03 medical and health sciences, 0302 clinical medicine, Oncology, Quality of life, Goodness of fit, EQ-5D, 030220 oncology & carcinogenesis, Ordinary least squares, Statistics, Quality of Life, medicine, Humans, Female, 030211 gastroenterology & hepatology, Colorectal Neoplasms, business
Abstract: Patient-level utility data are needed for cost-utility analysis; in oncology, however, the data are commonly gathered using disease-specific questionnaires that are often not appropriate. Present study aimed to derive an algorithm which can map the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) scales and the Colorectal Cancer-Specific Quality Of Life Questionnaire (QLQ-CR29) scales onto the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) values in patients with colorectal cancer (CRC). Using the Ordinary Least Square (OLS) model, a cross-sectional dataset of 252 patients with CRC were gathered from three academic centers of cancer treatment in Tehran in 2017. The predicted R2 (Pred R2) and adjusted R2 (Adj R2) are used to evaluate model goodness of fit. Additionally, mean absolute error (MAE), root mean square error (RMSE), Spearman’s correlation coefficients (ρ), and intraclass correlation (ICC) are applied to assess predictive ability of models. The tenfold cross-validation procedure was applied for validation models. According to the results of our study, the model C4 from EORTC QLQ-C30 was the best predictive model (Pred R2 = 66.57%, Adj R2 = 67.67%, RMSE = 0.10173, MAE = 0.07840). Also, the model R4 from QLQ-CR29 performed the best for EQ-5D-5L (Adj R2 = 48.42%, Pred R2 = 45.54%, MAE = 0.10051, RMSE = 0.12997). The mapping algorithm successfully mapped the EORTC QLQ-C30 and QLQ-CR29 scales onto the EQ-5D-5L values; therefore, it enables policymakers to convert cancer-specific questionnaires scores to the preference-based scores.
Published: 2019

41. A Scoping Review of Components of Physician-induced Demand for Designing a Conceptual Framework

Author: Shahrooz Yazdani, Sara Emamgholipour Sefiddashti, Alireza Olyaeemanesh, Marita Mohammadshahi, Ali Akbari Sari, and Mehdi Yaseri
Subjects: Scoping review, media_common.quotation_subject, Population, lcsh:Medicine, Induced demand, Review, 01 natural sciences, Profit (economics), 03 medical and health sciences, 0302 clinical medicine, Conceptual framework, Physicians, Humans, 030212 general & internal medicine, 0101 mathematics, education, media_common, Pecuniary incentives, education.field_of_study, Models, Statistical, Actuarial science, Health economics, lcsh:Public aspects of medicine, lcsh:R, Target income, 010102 general mathematics, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Payment, Incentive, Business, Target income sales
Abstract: Objectives The current study presents a new conceptual framework for physician-induced demand that comprises several influential components and their interactions. Methods This framework was developed on the basis of the conceptual model proposed by Labelle. To identify the components that influenced induced demand and their interactions, a scoping review was conducted (from January 1980 to January 2017). Additionally, an expert panel was formed to formulate and expand the framework. Results The developed framework comprises 2 main sets of components. First, the supply side includes 9 components: physicians' incentive for pecuniary profit or meeting their target income, physicians' current income, the physician/population ratio, service price (tariff), payment method, consultation time, type of employment of physicians, observable characteristics of the physician, and type and size of the hospital. Second, the demand side includes 3 components: patients' observable characteristics, patients' non-clinical characteristics, and insurance coverage. Conclusions A conceptual framework that can clearly describe interactions between the components that influence induced demand is a critical step in providing a scientific basis for understanding physicians' behavior, particularly in the field of health economics.
Published: 2019

42. Systematic review and meta-analysis investigating autograft versus allograft cultivated limbal epithelial transplantation in limbal stem cell deficiency

Author: Mohammad Amir Mishan, Mehdi Yaseri, Mozhgan Rezaei Kanavi, and Alireza Baradaran-Rafii
Subjects: medicine.medical_specialty, Visual acuity, Visual Acuity, Limbus Corneae, Cochrane Library, Corneal Diseases, Limbal stem cell deficiency, Corneal Transplantation, medicine, Humans, Autografts, Prospective cohort study, Cells, Cultured, business.industry, Stem Cells, Epithelium, Corneal, Retrospective cohort study, Allografts, Surgery, Transplantation, Ophthalmology, surgical procedures, operative, Meta-analysis, sense organs, medicine.symptom, business, Ocular surface, Stem Cell Transplantation
Abstract: Currently, regenerative medicine has attracted much attention among researchers investigating new methods to treat ocular surface diseases. Based on this new concept, cultivated limbal epithelial transplantation (CLET), whether in the form of autograft or allograft, has emerged as a promising surgical procedure for treating limbal stem cell deficiency (LSCD). Given that there is no updated comparison between autograft and allograft CLETs, the present review and meta-analysis aims to compare and determine the efficacy of two different CLET techniques, autologous versus allogeneic, based on a literature review of relevant studies. A comprehensive search of electronic databases, including PubMed, Web of Science, Cochrane Library, Embase and Scopus, for related articles was performed in March 2018 to obtain relevant articles and to conduct a meta-analysis investigating the success rate of ocular surface regeneration and two-line improvement in best-corrected visual acuity (BCVA) using autograft versus allograft transplantations. A total of 30 studies, including 1306 eyes from 1288 patients with LSCD, with a sample size ranging from 6 to 200 and follow-up period of 0.6–156 months, were reviewed. Of 1306 eyes, 982 (75.2%) underwent autograft and 324 (24.8%) received allografts from living or deceased donors. Meta-analysis revealed that there was no significant difference between autograft and allograft CLETs in terms of success rate and two-line BCVA improvement. The prospective studies showed a zero difference between the two groups; only two retrospective studies included in the analysis pulled the autografts up to 1.82 and 1.2 times more than allografts in terms of success rate and two-line BCVA improvement, respectively [pooled OR 1.82 (95% CI 0.80–4.11); pooled OR 1.2 (95% CI 0.54–2.65)]. There was no statistically significant evidence of bias in the meta-analysis in terms of success rates and two-line BCVA improvement. The present analysis revealed no significant differences in success rates or visual improvement between autograft and allograft surgical techniques.
Published: 2019

43. Individual Radiosensitivity Assessment of the Families of Ataxia-Telangiectasia Patients by G2-Checkpoint Abrogation

Author: Nima Rezaei, Majid Zaki-Dizaji, Asghar Aghamohammadi, Gholamreza Azizi, Hassan Nosrati, Seyed Mohammad Akrami, Marjan Yaghmaie, and Mehdi Yaseri
Subjects: Adult, Male, medicine.medical_specialty, Adolescent, Genetic Carrier Screening, Clinical & Basic Research, lcsh:Medicine, Ataxia Telangiectasia Mutated Proteins, Iran, Radiation Tolerance, Gastroenterology, Ataxia Telangiectasia, 03 medical and health sciences, 0302 clinical medicine, Caffeine, Neoplasms, Internal medicine, medicine, Humans, Child, Telangiectasia, Immunodeficiency, Receiver operating characteristic, business.industry, lcsh:R, Cancer, Heterozygote advantage, General Medicine, Middle Aged, Atherosclerosis, medicine.disease, G2 Phase Cell Cycle Checkpoints, Diabetes Mellitus, Type 2, Child, Preschool, 030220 oncology & carcinogenesis, Ataxia-telangiectasia, Female, Chromosome breakage, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Objectives: Ataxia-telangiectasia (A-T) is an autosomal recessive multisystem disorder characterised by cerebellar degeneration, telangiectasia, radiation sensitivity, immunodeficiency, oxidative stress and cancer susceptibility. Epidemiological research has shown that carriers of the heterozygous ataxia-telangiectasia mutated ( ATM ) gene mutation are radiosensitive to ionising irradiation and have a higher risk of cancers, type 2 diabetes and atherosclerosis. However, there is currently no fast and reliable laboratory-based method to detect heterozygous ATM carriers for family screening and planning purposes. This study therefore aimed to evaluate the ability of a modified G2-assay to identify heterozygous ATM carriers in the families of A-T patients. Methods: This study took place at the Tehran University of Medical Sciences, Tehran, Iran, between February and December 2017 and included 16 A-T patients, their parents (obligate heterozygotes) and 30 healthy controls. All of the subjects underwent individual radiosensitivity (IRS) assessment using a modified caffeine-treated G2-assay with G2-checkpoint abrogation. Results: The mean IRS of the obligate ATM heterozygotes was significantly higher than the healthy controls (55.13% ± 5.84% versus 39.03% ± 6.95%; P
Published: 2019

44. Risk Factors for Falls in Hospital In-Patients: A Prospective Nested Case Control Study

Author: Zahra Godarzi, Mohammad Arab, Zhila Najafpour, and Mehdi Yaseri
Subjects: Male, medicine.medical_specialty, Health (social science), Drug-Related Side Effects and Adverse Reactions, Leadership and Management, Psychological intervention, Visual Acuity, Urinary incontinence, Management, Monitoring, Policy and Law, Rate ratio, Odds, 03 medical and health sciences, Hospital, 0302 clinical medicine, Health Information Management, Drug Therapy, Risk Factors, Neoplasms, medicine, Humans, 030212 general & internal medicine, Accidental fall, Prospective Studies, Stroke, Postural Balance, Nested Case Control, Inpatients, 030504 nursing, business.industry, lcsh:Public aspects of medicine, Health Policy, Accidental Fall, lcsh:RA1-1270, Odds ratio, Length of Stay, Middle Aged, medicine.disease, Urinary Incontinence, Case-Control Studies, Emergency medicine, Nested case-control study, Original Article, Accidental Falls, Female, Patient Safety, medicine.symptom, 0305 other medical science, business
Abstract: Background Patient falls are considered a challenge to the patient’s safety in hospitals, which, in addition to increasing the length of stay and costs, may also result in severe injuries or even the death of the patient. This study aims to investigate the associations between risk factors among fallers in comparison with the control group. Methods A prospective nested case control study was performed on 185 patients who fell and 1141 controls were matched with the patients at risk of fall in the same ward and during the same time. This study was conducted in a university educational hospital in Tehran with 800 beds during a 9-month period. The data included demographics, comorbidities, admission details, types of medication, clinical conditions, and activities before or during the fall. The data was collected from clinical records, hospital information system, error reporting system and observations, and the interviews with the fallers, their families and care givers (physicians, nurses, etc). Data analysis was conducted through time-based matching using a multi-level analysis. Results In a multilevel model including patient-related, medication, and care-related variables, the factors that were significantly associated with an increased risk of patient falls included: longer length of stay (odds ratio [OR] = 1.01; CI = 0.32 to 0.73), using chemotherapy drugs, sedatives, anticonvulsants, benzodiazepines, and angiotensin-converting enzyme (ACE) inhibitors, visual acuity (OR = 6.93; CI = 4.22 to 11.38), balance condition (OR = 6.41; CI = 4.51 to 9.11), manual transfer aid (OR = 8.47; CI = 5.65 to 12.69), urinary incontinence (OR = 8.47, CI = 5.65 to 12.69), and cancer (OR = 2.86, CI = 1.84-4.44). These factors were found to be associating with more odds for a falling accident among patients. Several characteristics such as fall history (OR = 0.48; CI = 1.003 to 1.02), poly-pharmacy (OR = 1.37, CI = 00.85 to 2.2), stroke (OR = 0.94, CI = 0.44 to 2.02), and nurse to patient ratio (incidence rate ratio = 1.01, CI = 0.01 to 0.03) were not significantly associated with falling in hospitals. Conclusion It seems that a combination of both patient-related factors and history of medication should be considered. Moreover, modifiable clinical characteristics of patients such as vision improvement, provision of manual transfer aid, diabetes control, regular toilet program, and drug modification should be considered during the formulation of interventions.
Published: 2019

45. Determining Risk Factors for Gastric and Esophageal Cancers between 2009-2015 in East-Azarbayjan, Iran Using Parametric Survival Models

Author: Payam Amini, Tara Azimi, Mehdi Yaseri, Mahmood Mahmoudi, Elaheh Zarean, and Morteza Hajihosseini
Subjects: 0301 basic medicine, Oncology, Stomach neoplasm, Male, medicine.medical_specialty, Esophageal Neoplasms, medicine.medical_treatment, Population, Logistic regression, survival analysis, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Stomach Neoplasms, Internal medicine, medicine, Humans, Esophageal neoplasm, education, Survival analysis, Retrospective Studies, education.field_of_study, Models, Statistical, business.industry, Cancer, Retrospective cohort study, General Medicine, Esophageal cancer, Middle Aged, medicine.disease, Prognosis, Combined Modality Therapy, Survival Rate, 030104 developmental biology, Esophagectomy, 030220 oncology & carcinogenesis, stomach neoplasm, Female, business, Research Article, Follow-Up Studies
Abstract: Background: Esophageal cancer (EC) and Gastric cancer (GC) have been identified as two of the most common cancers in the northeastern regions of Iran. The increasing rates of these types of cancers requires attention. This study aims to assess the potential risk factors for these two cancers and then determine shared risk factors between them in a population of Iranian patients using parametric survival models. Methods: This retrospective cohort study was conducted using 127 patients with EC and 184 patients with GC in East Azarbaijan, Iran who were diagnosed and registered during the years 2009-2010 in Iran's National Cancer Control Registration Program and were followed for five years. Parametric survival models were used to find the risk factors of the patients. Akaike Information Criteria was used to identify the best parametric model in this study. Interaction analysis was used to determine shared risk factors between EC and GC. Results: The mean (±standard deviation) age of diagnoses for EC and GC were 66.92(±11.95) and 66.5(±11.5) respectively. The survival time ranges of GC patients was (0.07-70.33) and the survival time ranges were from 0.10 to 69.03 months for EC patients. Multivariable Log- logistic model showed that being married (OR=2.25, 95% CI: 1.33 - 3.81) for EC patients and Esophagectomy surgery for EC (OR: 1.62, 95% CI: 1.04 - 2.55) and GC (OR: 1.60, 95% CI: 1.02 - 2.53) had significant effects on survival. Age at the time of diagnosis, job status, and Esophagectomy surgery were statistically comparable regarding their magnitude of effect on survival of two cancers (all Ps > 0.05). Conclusion: Esophagectomy surgery and being married were important risk factors in EC and GC. The log-logistic model was the most appropriate statistical approach to identify significant risk factors on survival of both cancers
Published: 2019

46. Application of Kingdon and Hall Models to Review Environmental Sanitation and Health Promotion Policy in Ethiopia: A Professional Perspective as a Review

Author: Zewdie Birhanu Koricha, Gholamreza Garmaroudi, Elham Shakibazadeh, Mehdi Yaseri, Roya Sadeghi, Tadesse Bekele Tefese, and Feleke Doyore Agide
Subjects: Sanitation, Scientific literature, Review, Health Promotion, 010501 environmental sciences, Public administration, 01 natural sciences, 03 medical and health sciences, Politics, 0302 clinical medicine, Models, Political science, Humans, 030212 general & internal medicine, Legitimacy, 0105 earth and related environmental sciences, Models, Sanitation, Health Promotion, Policy, Health Policy, General Medicine, Models, Theoretical, Technical feasibility, Health promotion, Framing (social sciences), Policy, Ethiopia
Abstract: BACKGROUND: In the world, many countries, including Ethiopia, are framing policies to roll back the problem of the sanitation. For this, the Kingdon and Hall models are the two distinct models formed to articulate the policy agenda to the health problem. The Kingdon model includes problem, policy and politics streams whereas the Hall model includes legitimacy, feasibility and support of the health policies. Therefore, this review aims to integrate the two models with diseases prevention and health promotion policies of Ethiopia.METHODS: We used the existing frameworks of the models as a guiding principle. Then, we applied the frameworks of the two models as an important consideration to interlink policy agenda to a given health problem. We also described the existing scientific literature about the sanitation and health promotion. After thoroughly reviewing, possible policy inputs and country setups were included with a brief discussion by comparing different kinds of literatures.RESULTS: The two models are recognized as an opportunity to get an essential sanitation policy. The government settled and has closed links to the new innovation as an emerged discourse. Therefore, the two model streams came together for setting sanitation problem on the policy agenda. The technical feasibility, public acceptability and congruence with existing values were all judged to be favorable.CONCLUSION: The integration of policies within the policy frameworks has very important outputs in various countries. Therefore, the field specialists should figure out the problem of policy integration through policy evaluation researches.
Published: 2019

47. Identification of enterotoxigenic Bacteroides fragilis in patients with diarrhea: A study targeting 16S rRNA, gyrB and nanH genes

Author: Sedighe Ghourchian, Zahra Norouzbabaei, Mehdi Yaseri, Naeemeh Kalali, Alireza Abdollahi, Rosa Amiri, and Masoumeh Douraghi
Subjects: Diarrhea, biology, Neuraminidase, Bacterial Infections, Bacteroides Infections, 16S ribosomal RNA, biology.organism_classification, Microbiology, Bacteroides fragilis, Agar, Infectious Diseases, RNA, Ribosomal, 16S, medicine, Humans, Identification (biology), In patient, medicine.symptom, Gene
Abstract: Background We aimed to identify the enterotoxigenic Bacteroides fragilis (ETBF) and bft subtypes among patients with diarrhea. In addition, we assessed whether DNA gyrase subunit B (gyrB) and neuraminidase (nanH) genes are useful determinants for identification of B. fragilis compared to 16S rDNA sequencing as a reference method. Results A total of 111 Gram-negative anaerobic coccobacilii were isolated from 530 fecal specimens using BBE agar. Of the 111 isolates, 100 (90.09%) were assumed to be a member of Bacteroides fragilis group as they yielded an amplicon through PCR using the group-specific primers (Bfra-F/g-Bfra-R). However, only 28 isolates out of 100 were definitively identified as species of Bacteroides using16S rRNA gene sequencing; of which 15 isolates were B. fragilis and the remaining 13 isolates were identified as B. thetaiotaomicron (n=6), Parabacteroides distasonis (n=3), B. vulgatus (Phocaeicola vulgatus) (n=1), B. ovatus (n=1), B. congonensis (n=1) and B. nordii (n=1). Among the 15 isolates of B. fragilis, 4 were found to be ETBF. Compared to the reference method, the specificity and accuracy of the PCR targeting gyrB gene (64.7% and 65%) was higher than of nanH (36.4% and 46%, respectively.ConclusionsThis study demonstrated that more than one-fourth of B. fragilis isolates harbored bft gene and less than 1% of patients with diarrhea harbored ETBF. The slight agreement between the PCR assays -already used for identification of B. fragilis which targeting gyrB or nanH - and 16S rRNA gene sequencing as the reference method was noted.
Published: 2022

48. Detecting medical prescriptions suspected of fraud using an unsupervised data mining algorithm

Author: Farshad Sharifi, Mehdi Yaseri, Farshad Farzadfar, Mohammad Javad Kabir, Adel Mohammadpour, and Mohammad Haddad Soleymani
Subjects: 0301 basic medicine, Medical insurance, Prescription Drugs, 020205 medical informatics, Computer science, Pharmacology toxicology, ComputingMilieux_LEGALASPECTSOFCOMPUTING, 02 engineering and technology, computer.software_genre, Data mining algorithm, 03 medical and health sciences, Identity theft, 0202 electrical engineering, electronic engineering, information engineering, Health insurance, Data Mining, Humans, Medical prescription, health care economics and organizations, Insurance, Health, Fraud, Workload, Unsupervised data mining, Building and Construction, humanities, 030104 developmental biology, Anomaly detection, Data mining, computer, Research Article, Unsupervised Machine Learning
Abstract: Nowadays, health insurance companies face various types of fraud, like phantom billing, up-coding, and identity theft. Detecting such frauds is thus of vital importance to reduce and eliminate corresponding financial losses. We used an unsupervised data mining algorithm and implemented an outlier detection model to assist the experts in detecting medical prescriptions suspected of fraud. The implementation ran medicine code, patients' sex, and patients' age variables through three successive screening steps. The proposed model is capable of detecting 25% to 100% of cases violating the standards for some medicines that are not supposed to be prescribed at the same time in one single prescription. This model can also detect medical prescriptions suspected of fraud with a sensitivity of 62.16%, specificity of 55.11%, and accuracy of 57.2%. This paper shows that data mining can help detecting potential fraud cases in medical prescriptions more quickly and accurately than by the manual inspection as well as reducing the number of medical prescriptions to be checked which will result in reducing investigators heavy workload. The results of the proposed model can also help policymakers to plan for fighting against fraudulent activities. Graphical Abstract Detecting Medical Prescriptions Suspected of Fraud Using an Unsupervised Data Mining Algorithm.
Published: 2018

49. Effects of naringenin supplementation in overweight/obese patients with non-alcoholic fatty liver disease: study protocol for a randomized double-blind clinical trial

Author: Helda Tutunchi, Fatemeh Naeini, Seyed Ali Jazayeri-Tehrani, Siavash Mansouri, Zahra Namkhah, Mohammad Javad Hosseinzadeh-Attar, Mehdi Yaseri, and Seyed Mahdi Rezayat
Subjects: Naringenin, medicine.medical_specialty, Medicine (General), Medicine (miscellaneous), Overweight, Iran, Chronic liver disease, Gastroenterology, Study Protocol, chemistry.chemical_compound, R5-920, Double-Blind Method, Non-alcoholic Fatty Liver Disease, Internal medicine, medicine, Humans, Pharmacology (medical), Obesity, education, Metabolic parameters, Randomized Controlled Trials as Topic, Neuregulin-4, education.field_of_study, Adiponectin, business.industry, Fatty liver, nutritional and metabolic diseases, food and beverages, Non-alcoholic-fatty liver disease, medicine.disease, chemistry, Dietary Supplements, Flavanones, Liver function, medicine.symptom, business, Body mass index
Abstract: Introduction Non-alcoholic fatty liver disease (NAFLD) is one of the main causes of chronic liver disease worldwide. Flavonoids, a group of natural compounds, have garnered a great deal of attention in the management of NAFLD because of their profitable effects on glucose and lipid metabolism, inflammation, and oxidative stress which are the pivotal pathophysiological pathways in NAFLD. Naringenin is a citrus-derived flavonoid with a broad spectrum of potential biological effects including anti-inflammatory and antioxidant properties, which may exert protective effects against NAFLD. The present clinical trial aims to examine the efficacy of naringenin supplementation on plasma adiponectin and neurogulin-4 (NRG-4) concentrations, metabolic parameters, and liver function indices in overweight/obese patients with NAFLD. Methods and analysis This is a double-blind, randomized, placebo-controlled clinical study that will investigate the impacts of naringenin supplementation in overweight/obese patients with NAFLD. Liver ultrasonography will be applied to diagnose NAFLD. Forty-four eligible overweight/obese subjects with NAFLD will be selected and randomly assigned to receive naringenin capsules or identical placebo (each capsule contains 100 mg of naringenin or cellulose), twice daily for 4 weeks. Participants will be asked to remain on their usual diet and physical activity. Safety of naringenin supplementation was confirmed by the study pharmacist. The primary outcome of this study is changes in adiponectin circulating levels. The secondary outcomes include changes in NRG-4 levels, liver function indices, metabolic parameters, body weight, body mass index (BMI), waist circumference (WC), blood pressure, and hematological parameters. Statistical analysis will be conducted using the SPSS software (version 25), and P value less than 0.05 will be regarded as statistically significant. Discussion We hypothesize that naringenin administration may be useful for treating NAFLD by modulating energy balance, glucose and lipid metabolism, oxidative stress, and inflammation through different mechanisms. The current trial will exhibit the effects of naringenin, whether negative or positive, on NAFLD status. Ethical aspects The current trial received approval from the Medical Ethics Committee of Tehran University of Medical Sciences, Tehran, Iran (IR.TUMS.MEDICNE.REC.1399.439). Trial registration Iranian Registry of Clinical Trials IRCT201311250155336N12. Registered on 6 June 2020
Published: 2021

50. Differential Expression of Hypoxia-Related Genes in Primary Brain Tumors and Correlation with Clinicopathologic Data

Author: Ali Mamivand, Shiva Bayat, Alireza Khoshnevisan, Mina Tabrizi, Mehdi Yaseri, Abolfazl Maghrouni, Hiva Saffar, Mohammad-Taghi Raouf, and Sasan Shabani
Subjects: Adult, Male, Brain tumor, Receptors, G-Protein-Coupled, Meningioma, Diagnosis, Differential, Glioma, Biomarkers, Tumor, Medicine, Humans, RNA, Neoplasm, Receptor, Hypoxia, neoplasms, Gene, business.industry, Brain Neoplasms, GPRC5A, Computational Biology, YAP-Signaling Proteins, Hypoxia (medical), Middle Aged, medicine.disease, Hypoxia-Inducible Factor 1, alpha Subunit, nervous system diseases, Gene Expression Regulation, Neoplastic, Cancer research, Surgery, Female, Neurology (clinical), medicine.symptom, Differential diagnosis, business, Glioblastoma
Abstract: Meningiomas and gliomas are common benign and malignant primary brain tumors, respectively. One of the most prominent features of aggressive malignancies contributing to their progression is their ability to cope with hypoxia. Therefore, glioma tumors are expected to better cope with adverse hypoxic conditions and, consequently, display significantly different expression levels of hypoxia-adaptive genes.Thirty-three glioma (17 glioblastoma multiforme [GBM], 16 low-grade glioma [LGG]) and 32 meningioma samples were investigated for expression of hypoxia adaptation- related genes by real-time polymerase chain reaction. The same investigation was carried out for GBM, the most malignant form of glioma, versus LGG. The findings were further checked by bioinformatics analysis of expression levels using RNA-seq data. Additional investigations conducted include receiver operating characteristic curve analysis to assess the power for each gene in differential diagnosis of glioma from meningioma.A greater level of hypoxia-inducible factor (HIF) 1α expression in glioma samples compared with meningioma and greater expression levels of Yes-associated protein (YAP) 1 and G-protein-coupled receptor class C group 5 member A (GPRC5A) in meningioma were observed, with P values 0.0005,0.0001, and0.0001 for GPRC5A, HIF1α, and YAP1, respectively. Comparison of GBM with LGG also revealed GPRC5A to have significantly greater expression in GBM with P = 0.0381. The calculated area under the curve was 0.7536, 0.8438, and 0.8272 for GPRC5A, HIF1α, and YAP1, respectively, which represented acceptable power for these genes in differential diagnosis of glioma tumor types from meningioma and tumor subtypes GBM from LGG under study.These results imply that these genes can possibly be implicated in brain tumor hypoxia-adaptation response with tumor-specific roles and patterns of expression.
Published: 2021

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