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12. Prevalence and treatment of sexually transmitted infections in men followed by urologists in Germany – a cross sectional study with 347,090 men

Author

Jacob, Louis, Duse, Dragos Andrei, and Kostev, Karel

Subjects
sexually transmitted diseases, prevalence, treatment, urology practices, Medicine
Abstract

Aim: The goal of this retrospective analysis was to study the prevalence and treatment of the most common sexually transmitted infections (STI) in men followed by urologists in Germany. Methods: This study included a total of 347,090 men followed in 7rology practices in Germany between 2013 and 2015. The first outcome was the prevalence of individuals diagnosed with STI between 2013 and 2015. The following eight types of STI infections were included in the analysis: chlamydial infection, gonococcal infection, anogenital warts, anogenital herpes infection, trichomoniasis, ulcus molle, phthiriasis, and syphilis. The second outcome was the prevalence of individuals with STI who received an appropriate therapy within 90 days of their initial STI diagnosis. Results: The most frequent STI was anogenital warts (0.64%), whereas the least frequent STI was syphilis (0.03%). The median age at diagnosis ranged from 30.3 years for chlamydia infection to 47.5 years for trichomoniasis. The proportion of individuals receiving treatment was the highest for trichomoniasis (90.6%) and the lowest for anogenital warts (49.9%). Conclusions: Overall, approximately 1.25% of men followed in urology practices in Germany between 2013 and 2015 were diagnosed with at least one STI. Further research is needed to gain a better understanding of the factors potentially associated with the risk of being diagnosed with STI in this setting in Germany. Moreover, there is a need for enabling higher rates of diagnosis and thus treatment of infected persons.

Published
2018
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14. Risk factors for ectopic pregnancy in Germany: a retrospective study of 100,197 patients

Author

Jacob, Louis, Kalder, Matthias, and Kostev, Karel

Subjects
ectopic pregnancy, risk factors, Germany, retrospective study, Medicine
Abstract

Aim: The goal of this study was to identify potential risk factors for ectopic pregnancy in women followed in German gynecological practices.Methods: The present study included pregnant women diagnosed with ectopic pregnancy and pregnant women without ectopic pregnancy followed in 262 gynecological practices between January 2012 and December 2016. The effects of demographic and clinical variables on the risk of developing ectopic pregnancy were estimated using a multivariate logistic regression model. Results: This study included 3,003 women with ectopic pregnancy and 97,194 women without ectopic pregnancy. The mean age was 31.4 years (SD=5.9 years) in ectopic pregnancy patients and 31.1 years (SD=5.6 years) in non-ectopic pregnancy patients. Women aged 36–40 (OR=1.12) and 41–45 years (OR=1.46) were at a higher risk of ectopic pregnancy than women aged 31–35 years. Prior ectopic pregnancy was strongly associated with a risk of recurring ectopic pregnancy (OR=8.17). Prior genital surgery (OR=2.67), endometriosis (OR=1.51), and eight other gynecological diseases were also positively associated with ectopic pregnancy (ORs ranging from 1.19 to 2.06). Finally, there was a 1.80-fold increase in women previously diagnosed with psychiatric disorders.Conclusions: Prior ectopic pregnancy and prior genital surgery were strongly associated with ectopic pregnancy in women followed in German gynecological practices. Psychiatric diseases had an additional impact on the risk of ectopic pregnancy.

Published
2017
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15. Conflicts at work are associated with a higher risk of cardiovascular disease

Author

Jacob, Louis and Kostev, Karel

Subjects
workplace conflicts, cardiovascular diseases, myocardial infarction, general practices, Germany, Medicine
Abstract

Background: Only few authors have analyzed the impact of workplace conflicts and the resulting stress on the risk of developing cardiovascular disorders. The goal of this study was to analyze the association between workplace conflicts and cardiovascular disorders in patients treated by German general practitioners. Methods: Patients with an initial documentation of a workplace conflict experience between 2005 and 2014 were identified in 699 general practitioner practices (index date). We included only those who were between the ages of 18 and 65 years, had a follow-up time of at least 180 days after the index date, and had not been diagnosed with angina pectoris, myocardial infarction, coronary heart diseases, or stroke prior to the documentation of the workplace mobbing. In total, the study population consisted of 7,374 patients who experienced conflicts and 7,374 controls for analysis. The main outcome measure was the incidence of angina pectoris, myocardial infarction, and stroke correlated with workplace conflict experiences. Results: After a maximum of five years of follow-up, 2.9% of individuals who experienced workplace conflict were affected by cardiovascular diseases, while only 1.4% were affected in the control group Workplace conflict was associated with a 1.63-fold increase in the risk of developing cardiovascular diseases. Finally, the impact of workplace conflict was higher for myocardial infarction (OR=2.03) than for angina pectoris (OR=1.79) and stroke (OR=1.56). Conclusions: Overall, we found a significant association between workplace conflicts and cardiovascular disorders.

Published
2017
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21. Prevalence of depression, anxiety, adjustment disorders, and somatoform disorders in patients with age-related macular degeneration in Germany

Author

Jacob, Louis, Spiess, Alexandra, and Kostev, Karel

Subjects
age-related macular degeneration, depression, anxiety, adjustment disorder, somatoform disorder, Medicine
Abstract

Aims: The purpose of this study was to analyze the prevalence of depression, anxiety, adjustment disorders, and somatoform disorders in patients diagnosed with age-related macular degeneration (AMD) in Germany.Methods: This study included 7,580 patients between the ages of 40 and 90 diagnosed with AMD between January 2011 and December 2014 in 1,072 primary care practices (index date). The last follow-up was in July 2016. We also included 7,580 controls without AMD, which were matched (1:1) to the AMD cases by age, sex, type of health insurance (private or statutory), physician, and Charlson comorbidity score as a generic marker of comorbidity. The outcome of the study was the prevalence of depression, anxiety, adjustment disorders, and somatoform disorders recorded in the database between the index date and the end of follow-up. Results: The mean age among subjects was 75.7 years (SD=10.1 years), 34.0% were men, and 7.8% had private health insurance coverage. The Charlson comorbidity index was 2.0 (SD=1.8). Depression was the most frequent disease (33.7% in AMD patients versus 27.3% in controls), followed by somatoform disorders (19.6% and 16.7%), adjustment disorders (14.8% and 10.5%), and anxiety disorders (11.7% and 8.2%). Depression (OR=1.37, 95% CI: 1.27–1.47), anxiety (OR=1.50, 95% CI: 1.35–1.67), adjustment disorders (OR=1.50, 95% CI: 1.36–1.65), and somatoform disorders (OR=1.22, 95% CI: 1.12–1.32) were all positively associated with AMD. Conclusion: Overall, a significant association was found between AMD and depression, anxiety, adjustment disorders, and somatoform disorders.

Published
2017
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22. Impact of caesarean section on mode of delivery, pregnancy-induced and pregnancy-associated disorders, and complications in the subsequent pregnancy in Germany

Author

Jacob, Louis, Taskan, Sevil, Macharey, George, Sechet, Ingeborg, Ziller, Volker, and Kostev, Karel

Subjects
caesarean section, mode of delivery, pregnancy-induced disorders, pregnancy-associated disorders, pregnancy, Medicine
Abstract

Objectives: To analyze the impact of caesarean section (CS) on mode of delivery, pregnancy-induced and pregnancy-associated disorders, as well as complications in the subsequent pregnancy within German gynecological practices.Methods: 1,801 women with CS and 1,801 matched women with vaginal delivery (VD) from the IMS Disease Analyzer database were included. The impact of previous CS on the mode of delivery and pregnancy-associated disorders as well as complications prior to or during birth in the subsequent pregnancy were analyzed. Cox regressions were used to determine the influence of CS with regard to these outcomes.Results: Medical abortion and single spontaneous delivery were significantly less frequent in women with a history of CS compared to VD (OR equal to 0.52 and 0.04 respectively), whereas CS after CS was the significantly more common mode of delivery (79.0% versus 9.3%, OR=36.47). Gestational hypertension without significant proteinuria, gestational hypertension with significant proteinuria, and polyhydramnios were more frequent in women with CS than in women with VD (OR equal to 6.80, 1.71, and 2.29). Hemorrhage and maternal care for known or suspected disproportion were more common in the CS group than in the VD group (OR equal to 1.34 and 3.75). Prolonged pregnancy, preterm labor, abnormalities arising from forces of labor, and perineal laceration during delivery were significantly less frequent in women with CS than in women with VD (OR between 0.32 and 0.75), whereas long labor was more common (OR=2.09).Conclusion: Women with CS were more likely to undergo further CS and to develop major pregnancy-associated diseases in the following pregnancy compared to women with VD.

Published
2016
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24. Prevalence of chronic diseases among older patients in German general practices

Author

Jacob, Louis, Breuer, Jessica, and Kostev, Karel

Subjects
prevalence of chronic diseases, older patients, Germany, Medicine
Abstract

Aims: To evaluate the prevalence of chronic diseases (CDs) among older patients in German general practices (GPs).Methods: A total of 840,319 patients older than 65 years (359,289 male and 481,030 female) who consulted a GP between January and December 2014 were selected. Ten different CDs were considered: hypertension, lipid metabolism, diabetes, coronary heart disease, cancer, chronic obstructive pulmonary disease, heart failure, stroke, chronic kidney disease and osteoporosis. The prevalence, defined as the proportion of patients diagnosed with these disorders, was estimated. Results: All CDs were very common in older subjects. Hypertension was the most common CD, affecting 65.7% of men and 66.1% of women. Stroke was the least frequent CD, with 6.6% of men and 5.1% of women displaying this condition. More than one out of two subjects had between one and three CDs (men: 57.7% and women: 59.3%). Approximately 25% of subjects had four or more CDs (men: 26.6% and women: 23.6%).Conclusions: Our study showed that the prevalence of CDs is high in the German elderly population. Hypertension was the most frequent chronic condition and around 25% of patients displayed at least four CDs.

Published
2016
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25. Gender-based differences in the antidepressant treatment of patients with depression in German psychiatric practices

Author

Jacob, Louis and Kostev, Karel

Subjects
depression, gender, female patients, Medicine
Abstract

Background: Depression is recognized as the leading cause of disability in the world. Our goal was to compare treatment initiation in men and women treated in German neuropsychiatric practices after diagnosis of depression. Methods: Patients aged between 18 and 80 first diagnosed with depression between 2010 and 2013 were identified by 223 psychiatrists in the IMS Disease Analyzer database. Patients who had received antidepressant prescriptions prior to the index date were excluded. The main outcome measure was the initiation of antidepressant drug therapy in men and women within three years after index date in three subgroups of different severity (mild, moderate and severe depression).Results: A total of 35,495 men and 54,467 women were included in this study. After 3 years of follow-up, 77.3% of men and 78.5% of women diagnosed with mild depression (p-value=0.887), 89.2% of men and 90.7% of women with moderate depression (p-value=0.084), and 88.6% of men and 89.5% of women with severe depression (p-value=0.769) had been treated. No association was found between the chances of treatment initiation after diagnosis of depression and gender. Finally, patients with moderate and severe depression were more likely to receive therapy than those with mild depression. Selective serotonin reuptake inhibitors and tricyclic antidepressants were the two most commonly prescribed families of drugs in this study (SSRIs: 34.5% to 44.6%, and TCAs: 19.1% to 26.9%).Conclusions: Gender did not impact therapy initiation in depressed patients. Further studies are needed to identify other potential factors involved.

Published
2016
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26. Use of a German longitudinal prescription database (LRx) in pharmacoepidemiology

Author

Richter, Hartmut, Dombrowski, Silvia, Hamer, Hajo, Hadji, Peyman, and Kostev, Karel

Subjects
database, LRx, epidemiology, Medicine
Abstract

Large epidemiological databases are often used to examine matters pertaining to drug utilization, health services, and drug safety. The major strength of such databases is that they include large sample sizes, which allow precise estimates to be made. The IMS LRx database has in recent years been used as a data source for epidemiological research. The aim of this paper is to review a number of recent studies published with the aid of this database and compare these with the results of similar studies using independent data published in the literature. In spite of being somewhat limited to studies for which comparative independent results were available, it was possible to include a wide range of possible uses of the LRx database in a variety of therapeutic fields: prevalence/incidence rate determination (diabetes, epilepsy), persistence analyses (diabetes, osteoporosis), use of comedication (diabetes), drug utilization (G-CSF market) and treatment costs (diabetes, G-CSF market). In general, the results of the LRx studies were found to be clearly in line with previously published reports. In some cases, noticeable discrepancies between the LRx results and the literature data were found (e.g. prevalence in epilepsy, persistence in osteoporosis) and these were discussed and possible reasons presented. Overall, it was concluded that the IMS LRx database forms a suitable database for pharmacoepidemiological studies.

Published
2015
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27. Risk of hypoglycaemia in type 2 diabetes patients under different insulin regimens: a primary care database analysis

Author

Kostev, Karel, Dippel, Franz W., and Rathmann, Wolfgang

Subjects
insulin therapy, type 2 diabetes, hypoglycaemia, risk factors, primary care, Medicine
Abstract

[english] Aims: To compare rates and predictors of documented hypoglycaemia in type 2 diabetes patients treated with either basal insulin supported oral therapy (BOT), conventional therapy (CT) or supplementary insulin therapy (SIT) in primary care.Methods: Data from 10,842 anonymous patients (mean age ± SD: 54 ± 8 yrs) on BOT, 2,407 subjects (56 ± 7 yrs) on CT, and 7,480 patients (52 ± 10 yrs) using SIT from 1,198 primary care practices were retrospectively analyzed (Disease Analyzer, Germany: 01/2005–07/2013). Stepwise logistic regression (≥1 documented hypoglycaemia: ICD code) was used to evaluate risk factors of hypoglycemia. Results: The unadjusted rates (95% CI) per 100 patient-years of documented hypoglycaemia were 1.01 (0.80–1.20) (BOT), 1.68 (1.10–2.30) (CT), and 1.61 (1.30–1.90) (SIT), respectively. The odds of having was increased for CT (OR; 95% CI: 1.71; 1.13–2.58) and SIT (1.55; 1.15–2.08) (reference: BOT). Previous hypoglycemia (OR: 11.24; 6.71–18.85), duration of insulin treatment (days) (1.06; 1.05–1.07), history of transient ischemic attack (TIA)/stroke (1.91; 1.04–3.50), and former salicylate prescriptions (1.44; 1.06–1.98) also showed an increased odds of having hypoglycemia. Higher age was associated with a slightly lower odds ratio (per year: 0.98; 0.97–0.99).Conclusions: Insulin naïve type 2 diabetes patients in primary care, initiated with CT and SIT have an increased risk of hypoglycaemia compared to BOT, which is in line with previous randomized controlled trials. As hypoglycaemic events are associated with an increased mortality risk, this real-world finding is of clinical relevance.

Published
2015
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30. Which adverse effects influence the dropout rate in selective serotonin reuptake inhibitor (SSRI) treatment? Results for 50,824 patients

Author

Kostev, Karel, Rex, Juliana, Eith, Thilo, and Heilmaier, Christina

Subjects
antidepressants, selective serotonin reuptake inhibitors, adverse drug reactions, dropout, Medicine
Abstract

[english] Background: Nowadays, selective serotonin reuptake inhibitors (SSRIs) are the most frequently prescribed antidepressants due to their superior clinical efficacy, effectiveness, tolerability, and safety as compared to tricyclic antidepressants or monoamino oxidase inhibitors. However, despite these advantages SSRIs are still associated with a number of adverse drug reactions, especially in the early stages of treatment, which may lead to premature discontinuation of therapy in some cases. The aim of the present study was to assess the most common adverse drug reactions of SSRIs as well as their impact on dropout rate in a large study population.Patients and methods: Data for 50,824 patients treated for major depressive disorder with SSRIs for the first time was accessed via the Disease Analyzer database (IMS Health, Germany), providing information on SSRI adverse drug reactions and their influence on premature treatment discontinuation calculated by regression analysis. The presence of certain co-morbidities was also registered. Results: The mean age was 54.5 ± 19 years, two-thirds of the study population being female. The adverse effects mentioned most frequently were: “discomfort” of the digestive system (10%), sleep disorders (8.6%), and heart rhythm disorders (4%); however, these were of tolerable severity as they did not significantly influence the dropout rate. Contrary to that, somnolence and younger age (≤50 years) in particular increased the chance of premature treatment discontinuation, while patients suffering from cardiovascular risk factors or osteoporosis tended to adhere to the therapy.Conclusions: Overall, there is high tolerability for early SSRI treatment, whereas the occurrence of somnolence leads to discontinuation.

Published
2014
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31. Risk of psychiatric and neurological diseases in patients with workplace mobbing experience in Germany: a retrospective database analysis

Author

Kostev, Karel, Rex, Juliana, Waehlert, Lilia, Hog, Daniela, and Heilmaier, Christina

Subjects
mobbing, depression, anxiety, risk factors, Medicine
Abstract

[english] Introduction: The number of mobbing experiences recorded has increased during recent years and it has now been established as global phenomenon among the working population. The goal of our study was to analyze the incidence of certain neurologic and psychiatric diseases as a consequence of mobbing as compared with a control group and to examine the possible influence of previous diseases that occurred within one year before the first mobbing documentation on the incidence of mobbing.Material & methods: We used a large database (IMS Disease Analyzer, Germany) to collect data from general practitioners in Germany from 01/2003 until 12/2012. Based on age, gender, and health insurance, patients with experience of mobbing were matched with a control group of patients who had not reported workplace mobbing and who were being treated by the same physicians. At first, diseases that occurred within one year before the bullying experience took place (“index date”) were noted and compared to a control group of similar composition in terms of gender, age, and health insurance. Subsequently, the prevalence of depression, anxiety, somatoform disorders, and sleep disorders following experiences of mobbing were determined. After adjustment to take into account the odds of bullying, the ratios of these diseases were assessed using a logistic regression model.Results: The study population consisted of n=2,625 patients and n=2,625 controls, of which 33% were men. The number of cases of bullying documented rose continuously from 2003 to 2011 and remained high in 2012. Those who would later become victims of mobbing demonstrated a considerably higher prevalence of diseases in general – these diseases were not confined to the neurologic-psychiatric spectrum. Following experiences of bullying, depression, anxiety, somatoform disorders, and sleep disorders were significantly more prevalent than in the control group (for all, p

Published
2014
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34. Physicians’ influence on breast cancer patient compliance

Author

Kostev, Karel, Waehlert, Lilia, Jockwig, Achim, Jockwig, Barbara, and Hadji, Peyman

Subjects
breast cancer, compliance, persistence, Disease Analyzer, Medicine
Abstract

[english] In recent years there have been major advances in the treatment of breast cancer. However, taking the prescribed medication for a sufficient period of time is crucial to the success of any therapy. Thus far, no database-based studies have been published in German-speaking countries empirically examining the influence of the physician on the compliance of patients. The aim of this study is to investigate, quantify, and critically discuss the effect treating physicians have on the compliance of their breast cancer patients. Patients with a confirmed breast cancer diagnosis who started therapy (tamoxifen or aromatase inhibitors) between January 2001 and December 2011 were selected from the representative IMS Disease Analyzer database and analyzed with regard to their compliance. Practices were grouped into two categories concerning the compliance of all treated patients. A regression model showed that a breast cancer patient who is treated in a practice with a trend toward poor compliance has a nearly 60% higher risk for treatment discontinuation than would be the case in a practice with good compliance. It shows how important it is to motivate physicians to strive toward good compliance rates.

Published
2014
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37. Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Feigin, Valery L, Abate, Melsew Dagne, Abate, Yohannes Habtegiorgis, Abd ElHafeez, Samar, Abd-Allah, Foad, Abdelalim, Ahmed, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Arash, Abdoun, Meriem, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Abiodun, Olumide, Abo Kasem, Rahim, Aboagye, Richard Gyan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualhasan, Ahmed, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adane, Denberu Eshetie, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adegboye, Oyelola A, Adekanmbi, Victor, Adhikari, Kishor, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Adzigbli, Leticia Akua, Afify, Abdelrahman Yousry, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Aghamiri, Shahin, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akinyemi, Rufus Olusola, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Al Awaidy, Salah, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Qadire, Mohammad, Al Ta'ani, Omar, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Al-amer, Rasmieh Mustafa, Aldhaleei, Wafa A, Aldossary, Mohammed S, Alemohammad, Seyedeh Yasaman, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Alhalaiqa, Fadwa Naji, Alharrasi, Maryam, Ali, Abid, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait, Ali, Waad, Al-Ibraheem, Akram, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Al-Raddadi, Rajaa M Mohammad, Alrawashdeh, Ahmad, Alsabri, Mohammed A, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tammemi, Alaa B, Altwalbeh, Diala, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Wardat, Mohammad, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alyahya, Mohammad Sharif Ibrahim, Alzoubi, Karem H, Al-Zyoud, Walid Adnan, Amani, Reza, Amegbor, Prince M, Amera, Tewodros Getnet, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Angappan, Dhanalakshmi, Anil, Abhishek, Ansari, Mohammed Tahir Tahir, Ansari-Moghaddam, Alireza, Ansong, Rockson, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Appiah, Francis, Aqeel, Muhammad, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aregu, Getnet Mesfin, Aremu, Olatunde, Arifin, Hidayat, Ärnlöv, Johan, Artamonov, Anton A, Arulappan, Judie, Aryal, Umesh Raj, Aryan, Zahra, Asbeutah, Akram M, Asemahagn, Mulusew A, Asemu, Mulu Tiruneh, Asghari-Jafarabadi, Mohammad, Ashemo, Mubarek Yesse, Ashraf, Tahira, Aslani, Armin, Asmerom, Haftu Asmerom, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayana, Lemessa Assefa A, Aychiluhm, Setognal Birara, Aynalem, Amdehiwot A, Aynalem, Zewdu Bishaw, Azadnajafabad, Sina, Azami, Hiva, Aziz, Shahkaar, Azzam, Ahmed Y, Babu, Abraham Samuel, Babu, Giridhara Rathnaiah, Badar, Muhammad, Badiye, Ashish D, Bahrami Taghanaki, Pegah, Bahramian, Saeed, Bai, Ruhai, Baig, Atif Amin, Bakkannavar, Shankar M, Bako, Abdulaziz T, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Banakar, Morteza, Bandyopadhyay, Soham, Banik, Palash Chandra, Bansal, Kannu, Bao, Yanping, Barboza, Miguel A, Bardhan, Mainak, Barengo, Noel C, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barrow, Amadou, Barua, Lingkan, Bashiri, Azadeh, Bashiru, Hameed Akande, Basiru, Afisu, Bastan, Mohammad-Mahdi, Basu, Sanjay, Basu, Saurav, Batra, Kavita, Begde, Ahmet, Behnam, Babak, Behnoush, Amir Hossein, Belayneh, Melesse B Y, Belingheri, Michael, Bello, Umar Muhammad, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Fentaw Tadese, Bermudez, Amiel Nazer C, Beyene, Habtamu B B, Beyene, Kebede A, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh Singh, Bhuiyan, Mohiuddin Ahmed, Bhusal, Subarna, Bikbov, Boris, Bilgin, Cem, Biondi, Antonio, Bishaw, Keralem Anteneh, Biswas, Atanu, Biswas, Bijit, Bodhare, Trupti, Bogale, Eyob Ketema, Boloor, Archith, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Bosoka, Samuel Adolf, Bouaoud, Souad, Bouyahya, Abdelhakim, Boyko, Edward J, Bozic, Marija M, Braithwaite, Dejana, Breitner, Susanne, Brenner, Hermann, Britton, Gabrielle, Brunoni, Andre R, Bryazka, Dana, Bugiardini, Raffaele, Bulto, Lemma N, Burkart, Katrin, Bustanji, Yasser, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Fan, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carvalho, Andre F, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catapano, Alberico L, Cattaruzza, Maria Sofia, Cegolon, Luca, Cembranel, Francieli, Cenko, Edina, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Chanie, Gashaw Sisay, Chattu, Vijay Kumar, Chaudhary, Anis Ahmad, Chaurasia, Akhilanand, Chen, Haowei, Chen, Mingling, Chen, Simiao, Chi, Gerald, Chichagi, Fatemeh, Chimoriya, Ritesh, Ching, Patrick R, Chitheer, Abdulaal, Cho, So Mi Jemma, Choi, Dong-Woo, Chong, Bryan, Chong, Chean Lin, Chopra, Hitesh, Choudhari, Sonali Gajanan, Choudhary, Rahul, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Sheng-Chia, Cindi, Zinhle, Cioffi, Iolanda, Cogen, Rebecca M, Columbus, Alyssa, Costanzo, Simona, Couto, Rosa A S, Criqui, Michael H, Cruz-Martins, Natalia, Cuadra-Hernández, Silvia Magali, da Silva, Alanna Gomes, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dalal, Koustuv, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Darwish, Amira Hamed, Das, Saswati, Dashti, Mohsen, Dashtkoohi, Mohadese, Dashtkoohi, Mohammad, Dastmardi, Maedeh, Davletov, Kairat, De la Cruz-Góngora, Vanessa, DeAngelo, Sean, Debele, Aklilu Tamire, Debopadhaya, Shayom, Delgado-Enciso, Ivan, Demessa, Berecha Hundessa, Demetriades, Andreas K, Denova-Gutiérrez, Edgar, Dervišević, Emina, Desai, Hardik Dineshbhai, 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Santos, Itamar S, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Saravanan, Aswini, Sarikhani, Yaser, Sarode, Gargi Sachin, Sarode, Sachin C, Satpathy, Maheswar, Sattouf, Zafer, Saya, Ganesh Kumar, Sayeed, Md Abu, Sayyah, Mehdi, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schlaich, Markus P, Schmidt, Maria Inês, Schneider, Ione Jayce Ceola, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwebel, David C, Selvaraj, Siddharthan, Sen, Parijat, Senapati, Sabyasachi, Senthilkumaran, Subramanian, Sergindo, Mihretu Tagesse, Sethi, Yashendra, Seylani, Allen, Shafie, Mahan, Shah, Pritik A, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Samiah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shalash, Ali S, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamsi, Anas, Shamsutdinova, Alfiya, Shanawaz, Mohd, Shannawaz, Mohammed, Sharath, Medha, Sharifan, Amin, Sharifi, Azam, Sharifi-Rad, Javad, Sharma, Anupam, Sharma, Manoj, Sharma, Sourabh, Sharma, Ujjawal, Sharma, Vishal, Sheikhi, Rahim Ali, Shetty, Adithi, Shetty, Mahabalesh, Shetty, Premalatha K, Shiferaw, Desalegn, Shigematsu, Mika, Shimels, Tariku, Shin, Min-Jeong, Shiri, Rahman, Shittu, Aminu, Shitu, Abdul-karim Olayinka, Shiue, Ivy, Shorofi, Seyed Afshin, Shrestha, Sunil, Shuval, Kerem, Si, Yafei, Siddig, Emmanuel Edwar, Sikdar, Mithun, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Singh, Abhinav, Singh, Baljinder, Singh, Garima, Singh, Harmanjit, Singh, Jasvinder A, Singh, Kuldeep, Singh, Narinder Pal, Singh, Paramdeep, Singh, Puneetpal, Sipilä, Jussi O T, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Sobia, Farrukh, Socea, Bogdan, Sohag, Abdullah Al Mamun, Solanki, Ranjan, Solanki, Shipra, Solomon, Yerukneh, Song, Yi, Soraneh, Soroush, Sorensen, Reed J D, Sotoudeh, Houman, Soyiri, Ireneous N, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Srinivasamurthy, Suresh Kumar, Stachteas, Panagiotis, Stafford, Lauryn K, Stark, Benjamin A, Starodubova, Antonina V, Subedi, Narayan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Sultana, Abida, Sun, Zhong, Sundström, Johan, Suresh, Vinay, Susanty, Sri, Swain, Chandan Kumar, Szarpak, Lukasz, T Y, Sree Sudha, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Jyothi, Tadakamadla, Santosh Kumar, Taheri, Amirmasoud, Taiba, Jabeen, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tanwar, Manoj, Tarigan, Ingan Ukur, Tarkang, Elvis Enowbeyang, Tat, Nathan Y, Tavangar, Seyed Mohammad, Tehrani-Banihashemi, Arash, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesfamariam, Wegen Beyene, Tesfaye Gta, Edosa Geta, Thakur, Ramna, Thangaraju, Pugazhenthan, Thapa, Rajshree, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Joe, Thomas, Nikhil Kenny Kenny, Thrift, Amanda G, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruneh, Chalachew, Tiwari, Krishna, Tiyuri, Amir, Tonelli, Marcello, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Trabelsi, Khaled, Tran, Ngoc Ha, Tran, Thang Huu, Tran Minh Duc, Nguyen, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsai, Daniel Hsiang-Te, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Turuse, Ermias A A, Tyrovolas, Stefanos, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Sana, Umair, Muhammad, Umar, Muhammad, Unim, Brigid, Unnikrishnan, Bhaskaran, Urso, Daniele, Usman, Jibrin Sammani, Vacante, Marco, Vahabi, Seyed Mohammad, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valizadeh, Rohollah, Van den Eynde, Jef, Varga, Orsolya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villani, Simona, Vinayak, Manish, Viskadourou, Maria, Volovat, Simona Ruxandra, Volovici, Victor, Wafa, Hatem A, Waheed, Yasir, Wahood, Waseem, Wang, Cong, Wang, Fang, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Wassie, Emebet Gashaw, Wassie, Gizachew Tadesse, Wei, Zihan, Weintraub, Robert G, Weldetinsaa, Haftom Legese, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wijeratne, Tissa, Willeit, Peter, Wolfe, Charles D A, Wong, Yen Jun, Wongsin, Utoomporn, Wu, Chenkai, Wu, Felicia, Wu, YaJuan, Wu, Zenghong, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yamagishi, Kazumasa, Yang, Danting, Yano, Yuichiro, Yarahmadi, Amir, Yaribeygi, Habib, Yasufuku, Yuichi, Yatsuya, Hiroshi, Yazdanpanah, Fereshteh, Yazdanpanah, Mohammad Hosein, Ye, Pengpeng, Yesodharan, Renjulal, Yezli, Saber, Yi, Siyan, Yi, Xinglin, Yin, Dehui, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Elaine A, Yun, Ke, Yusuf, Hadiza, Zadey, Siddhesh, Zafari, Nima, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zanghì, Aurora, Zare, Iman, Zarimeidani, Fatemeh, Zarrintan, Armin, Zastrozhin, Michael, Zemedikun, Dawit, Zeng, Youjie, Zhang, Beijian, Zhang, Haijun, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhiqiang, Zhao, Hanqing, Zhong, Claire Chenwen, Zhou, Shang Cheng, Zhu, Bin, Zhu, Lei, Zhumagaliuly, Abzal, Ziafati, Makan, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zoghi, Ghazal, Zyoud, Sa'ed H, Zyoud, Samer H, Johnson, Catherine O, Roth, Gregory A, Nair, Balakrishnan Sukumaran, Rautalin, Ilari, Bhati, Anjali, Bisignano, Catherine, Vos, Theo, and Murray, Christopher J L

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2024
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38. Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050

Author

Jin, Yingzhao, Guo, Cui, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbott, J. Haxby, Abdullahi, Auwal, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Abu-Zaid, Ahmed, Addo, Isaac Yeboah, Adegboye, Oyelola A., Adepoju, Abiola Victor, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Aghamiri, Shahin, Ahmad, Danish, Ahmed, Ayman, Aithala, Janardhana P., Akhlaghi, Shiva, Akkala, Sreelatha, Alalwan, Tariq A., Albashtawy, Mohammed, Alemi, Hediyeh, Alhalaiqa, Fadwa Alhalaiqa Naji, Ali, Endale Alemayehu, Almustanyir, Sami, Al-Raddadi, Rajaa M., Alvis-Zakzuk, Nelson J., Al-Worafi, Yaser Mohammed, Alzahrani, Hosam, Alzoubi, Karem H., Amiri, Sohrab, Amu, Hubert, Amzat, Jimoh, Anderson, David B., Anil, Abhishek, Antony, Benny, Arabloo, Jalal, Areda, Damelash, Artaman, Al, Artamonov, Anton A., Aryal, Krishna K., Asghari-Jafarabadi, Mohammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atinafu, Bantalem Tilaye, Atout, Maha Moh’d Wahbi, Azadnajafabad, Sina, Azhdari Tehrani, Hamed, Azzam, Ahmed Y., Badawi, Alaa, Baghcheghi, Nayereh, Bai, Ruhai, Baigi, Vali, Banach, Maciej, Banakar, Morteza, Banik, Biswajit, Bardhan, Mainak, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barrow, Amadou, Bashiri, Azadeh, Batra, Kavita, Bayani, Mojtaba, Bayileyegn, Nebiyou Simegnew, Begde, Ahmet, Beyene, Kebede A., Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Rajbir, Bijani, Ali, Bitra, Veera R., Brazo-Sayavera, Javier, Buchbinder, Rachelle, Burkart, Katrin, Bustanji, Yasser, Butt, Muhammad Hammad, Cámera, Luis Alberto, Carvalho, Felix, Chattu, Vijay Kumar, Chaurasia, Akhilanand, Chen, Guangjin, Chen, Haowei, Chen, Lingxiao, Christensen, Steffan Wittrup McPhee, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Comachio, Josielli, Cruz-Martins, Natália, Cuschieri, Sarah, Dadana, Sriharsha, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Das, Saswati, Dashti, Mohsen, Delgado-Enciso, Ivan, Demisse, Biniyam, Denova-Gutiérrez, Edgar, Desye, Belay, Dewan, Syed Masudur Rahman, Dhingra, Sameer, Diress, Mengistie, Do, Thanh Chi, Do, Thao Huynh Phuong, Doan, Khanh Duy Khanh, Dutta, Sulagna, Dziedzic, Arkadiusz Marian, Edinur, Hisham Atan, Ekholuenetale, Michael, Elhadi, Muhammed, Eskandarieh, Sharareh, Esposito, Francesco, Fagbamigbe, Adeniyi Francis, Farokh, Parisa, Fatehizadeh, Ali, Feizkhah, Alireza, Fekadu, Ginenus, Ferreira, Nuno, Fetensa, Getahun, Fischer, Florian, Foroutan, Behzad, Foroutan Koudehi, Masoumeh, Franklin, Richard Charles, Fukumoto, Takeshi, Gandhi, Aravind P., Ganesan, Balasankar, Gau, Shuo-Yan, Gautam, Rupesh K., Gebre, Abadi Kahsu, Gebregergis, Miglas W.W., Ghaderi Yazdi, Bardiya, Gholami, Ali, Gill, Tiffany K., Goleij, Pouya, Gomes-Neto, Mansueto, Goyal, Anmol, Graham, Simon Matthew, Guan, Bin, Gupta, Bhawna, Gupta, Indarchand Ratanlal, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Habibzadeh, Farrokh, Hailu, Wase Benti, Hajibeygi, Ramtin, Halwani, Rabih, Haro, Josep Maria, Hartvigsen, Jan, Hasaballah, Ahmed I., Haubold, Johannes, Hebert, Jeffrey J., Hegazy, Mohamed I., Heidari, Golnaz, Heidari, Mohammad, Hezam, Kamal, Hiraike, Yuta, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hoveidaei, Amir Human, Hsu, Chi-Jen, Huda, Md Nazmul, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ikiroma, Adalia I., Ilic, Irena M., Ilic, Milena D., Iranmehr, Arad, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Iwagami, Masao, Iyasu, Assefa N., Jacob, Louis, Jafarzadeh, Abdollah, Jahankhani, Kasra, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Janakiraman, Balamurugan, Jayarajah, Umesh, Jayaram, Shubha, Jeganathan, Jayakumar, Jokar, Mohammad, Jonas, Jost B., Joo, Tamas, Joseph, Nitin, Joshua, Charity Ehimwenma, Kabito, Gebisa Guyasa, Kamal, Vineet Kumar, Kandel, Himal, Kantar, Rami S., Karami, Jafar, Karaye, Ibraheem M., Karimi Behnagh, Arman, Kaur, Navjot, Kazemi, Foad, Kedir, Shemsu, Khadembashiri, Mohamad Mehdi, Khadembashiri, Mohammad Amin, Khader, Yousef Saleh, Khajuria, Himanshu, Khan, Mohammad Jobair, Khan, Moien AB, Khan Suheb, Mahammed Ziauddin, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khateri, Sorour, Khayat Kashani, Hamid Reza, Khonji, Mohammad Saeid, Khubchandani, Jagdish, Kian, Saeid, Kisa, Adnan, Kitila, Aiggan Tamene, Kolahi, Ali-Asghar, Koohestani, Hamid Reza, Korzh, Oleksii, Kostev, Karel, Kotnis, Ashwin Laxmikant, Koyanagi, Ai, Krishan, Kewal, Kuddus, Mohammed, Kumar, Narinder, Kurniasari, Maria Dyah, Ladan, Muhammad Awwal, Lahariya, Chandrakant, Laksono, Tri, Lallukka, Tea, Landires, Iván, Lasrado, Savita, Lawal, Basira Kankia, Le, Thao Thi Thu, Le, Trang Diep Thanh, Lee, Munjae, Lee, Wei-Chen, Lee, Yo Han, Lerango, Temesgen L., Lim, David, Lim, Stephen S., Lucchetti, Giancarlo, Ma, Zheng Feei, Maghazachi, Azzam A., Maghbouli, Nastaran, Malakan Rad, Elaheh, Malhotra, Armaan, Malik, Ahmad Azam, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Manu, Emmanuel, Mathangasinghe, Yasith, Mazzotti, Antonio, McPhail, Steven M., Mengist, Belayneh, Mesregah, Mohamed Kamal, Mestrovic, Tomislav, Miller, Ted R., Minh, Le Huu Nhat, Mirahmadi Eraghi, Mohammad, Mirrakhimov, Erkin M., Misganaw, Awoke, Mohamadian, Hashem, Mohamadkhani, Ashraf, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammadi, Soheil, Mohammed, Mesud, Mojiri-Forushani, Hoda, Mokdad, Ali H., Momenzadeh, Kaveh, Momtazmanesh, Sara, Monasta, Lorenzo, Montazeri, Fateme, Moradi, Yousef, Morrison, Shane Douglas, Mostafavi, Ebrahim, Mousavi, Parsa, Mousavi, Seyed Ehsan, Mulita, Admir, Murillo-Zamora, Efrén, Mustafa, Ghulam, Muthu, Sathish, Naik, Ganesh R., Naimzada, Mukhammad David, Nakhostin Ansari, Noureddin, Narasimha Swamy, Sreenivas, Nargus, Shumaila, Nascimento, Paulo R.C., Naseri, Amirreza, Natto, Zuhair S., Naveed, Muhammad, Nayak, Biswa Prakash, Nazri-Panjaki, Athare, Negaresh, Mohammad, Negash, Hadush, Nejadghaderi, Seyed Aria, Nguyen, Dang H., Nguyen, Hau Thi Hien, Nguyen, Hien Quang, Nguyen, Phat Tuan, Nguyen, Van Thanh, Niazi, Robina Khan, Ofakunrin, Akinyemi O.D., Okati-Aliabad, Hassan, Okonji, Osaretin Christabel, Olatubi, Matthew Idowu, Ommati, Mohammad Mehdi, Ordak, Michal, Owolabi, Mayowa O., P A, Mahesh, Padubidri, Jagadish Rao, Pan, Feng, Pantazopoulos, Ioannis, Park, Seoyeon, Patel, Jay, Patil, Shankargouda, Pawar, Shrikant, Pedersini, Paolo, Peprah, Prince, Perna, Simone, Petcu, Ionela-Roxana, Petermann-Rocha, Fanny Emily, Pham, Hoang Tran, Pigeolet, Manon, Prates, Elton Junio Sady, Rahim, Fakher, Rahimi, Zahra, Rahimi-Dehgolan, Shahram, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahmati, Masoud, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Rapaka, Deepthi, Rashedi, Sina, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Rasouli-Saravani, Ashkan, Rawaf, Salman, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaei, Zahed, Riad, Abanoub, Roever, Leonardo, Roshanzamir, Sharareh, Roy, Priyanka, de Andrade Ruela, Guilherme, Saad, Aly M.A., Saddik, Basema, Sadeghian, Farideh, Saeed, Umar, Safary, Azam, Saghazadeh, Amene, Sagoe, Dominic, Sharif-Askari, Fatemeh Saheb, Sharif-Askari, Narjes Saheb, Sahebkar, Amirhossein, Sakshaug, Joseph W., Salami, Afeez Abolarinwa, Saleh, Mohamed A., Salehi, Sana, Samadzadeh, Sara, Samodra, Yoseph Leonardo, Samuel, Vijaya Paul, Santos, Djanilson B., Santric-Milicevic, Milena M., Saqib, Muhammad Arif Nadeem, Saravanan, Aswini, Sawyer, Susan, Schaarschmidt, Benedikt Michael, Senapati, Sabyasachi, Sethi, Yashendra, Seylani, Allen, Shafaat, Amir, Shafie, Mahan, Shahabi, Saeed, Shahbandi, Ataollah, Shahrokhi, Shayan, Shaikh, Masood Ali, Shamim, Muhammad Aaqib, Shamshirgaran, Mohammad Ali, Sharfaei, Sadaf, Sharifan, Amin, Sharifi, Azam, Sharma, Rajendra, Sharma, Saurab, Shashamo, Bereket Beyene, Shi, Linhong, Shigematsu, Mika, Shiri, Rahman, Shivarov, Velizar, Siddig, Emmanuel Edwar, Sinaei, Ehsan, Singh, Ambrish, Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Singla, Shweta, Siraj, Md Shahjahan, Skryabina, Anna Aleksandrovna, Solanki, Ranjan, Solomon, Yonatan, Starodubova, Antonina V., Swain, Chandan Kumar, Talic, Stella, Tat, Nathan Y., Temsah, Mohamad-Hani, Terefa, Dufera Rikitu, Tesler, Riki, Thapar, Rekha, Tharwat, Samar, Thayakaran, Rasiah, Ticoalu, Jansje Henny Vera, Tovani-Palone, Marcos Roberto, Tusa, Biruk Shalmeno, Ty, Sree Sudha, Udoakang, Aniefiok John, Vahabi, Seyed Mohammad, Valizadeh, Rohollah, Van den Eynde, Jef, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villafañe, Jorge Hugo, Vlassov, Vasily, Vo, Anh Truc, Vu, Linh Gia, Wang, Yuan-Pang, Wiangkham, Taweewat, Wickramasinghe, Nuwan Darshana, Winkler, Andrea Sylvia, Wu, Ai-Min, Yadollahpour, Ali, Yahya, Galal, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z., Zakham, Fathiah, Zangiabadian, Moein, Zarrintan, Armin, Zhong, Chenwen, Zhou, Hengxing, Zhu, Zhaochen, Zielińska, Magdalena, Zikarg, Yossef Teshome, Zitoun, Osama A., Zoladl, Mohammad, Tam, Lai-Shan, and Wu, Dongze

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2024
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49. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author

Naghavi, Mohsen, Ong, Kanyin Liane, Aali, Amirali, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abedi, Aidin, Abegaz, Kedir Hussein, Abhilash, E S, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Accrombessi, Manfred Mario Kokou, Adal, Tadele Girum, Adamu, Abdu A, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adekanmbi, Victor, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Admass, Biruk Adie Adie, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Aanuoluwapo Adeyimika, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agasthi, Pradyumna, Aggarwal, Manik, Aghamiri, Shahin, Agide, Feleke Doyore, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akbarialiabad, Hossein, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Alahdab, Fares, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Noore, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al-Azzam, Sayer, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Aldawsari, Khalifah A, Aldhaleei, Wafa A, Aldridge, Robert W, Alema, Haileselasie Berhane, Alemayohu, Mulubirhan Assefa, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Alikhani, Reyhaneh, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Louay, Almidani, Omar, Alomari, Mahmoud A, Al-Omari, Basem, Alonso, Jordi, Alqahtani, Jaber S, Alqalyoobi, Shehabaldin, Alqutaibi, Ahmed Yaseen, Al-Sabah, Salman Khalifah, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amare, Azmeraw T, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anoushiravani, Amir, Ansari, Hossein, Ansariadi, Ansariadi, Ansari-Moghaddam, Alireza, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Aqeel, Muhammad, Arab, Juan Pablo, 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2024
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50. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

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Schumacher, Austin E, Kyu, Hmwe Hmwe, Aali, Amirali, Abbafati, Cristiana, Abbas, Jaffar, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abdurehman, Ame Mehadi, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abu Rumeileh, Samir, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adair, Tim, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adegboye, Oyelola A, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adeyeoluwa, Temitayo Esther, Adeyomoye, Olorunsola Israel, Adha, Rishan, Adibi, Amin, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Abel, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afyouni, Shadi, Afzal, Saira, Agasthi, Pradyumna, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmadzade, Mohadese, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akinosoglou, Karolina, Akkala, Sreelatha, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Homsi, Ammar, Al Qadire, Mohammad, Ala, Moein, Aladelusi, Timothy Olukunle, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldridge, Robert W, Alemi, Sharifullah, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Akhtar, Ali, Beriwan Abdulqadir, Ali, Hassam, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Zahid, Alian Samakkhah, Shohreh, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aligol, Mohammad, Alimi, Rasoul, Aliyi, Ahmednur Adem, Al-Jumaily, Adel, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Omar, Alomari, Mahmoud A, Alonso, Nivaldo, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Sabah, Salman Khalifah, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvi, Farrukh Jawad, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Alzoubi, Karem H, Amare, Azmeraw T, Ameyaw, Edward Kwabena, Amhare, Abebe Feyissa, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Aminian Dehkordi, Javad, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amzat, 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Matthew, da Silva e Silva, Daniel, Dadana, Sriharsha, Dadras, Omid, Dai, Zhaoli, Dalal, Koustuv, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, Daneshvar, Sara, Darwesh, Aso Mohammad, Das, Jai K, Das, Saswati, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davletov, Kairat, De Leo, Diego, Debele, Aklilu Tamire, Degenhardt, Louisa, Dehbandi, Reza, Deitesfeld, Lee, Delgado-Enciso, Ivan, Delgado-Ortiz, Laura, Demant, Daniel, Demessa, Berecha Hundessa, Demetriades, Andreas K, Deng, Xinlei, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Desai, Hardik Dineshbhai, Desai, Rupak, Deuba, Keshab, Devanbu, Vinoth Gnana Chellaiyan, Dey, Sourav, Dhali, Arkadeep, Dhama, Kuldeep, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dhingra, Sameer, Dias da Silva, Diana, Diaz, Daniel, Dima, Adriana, Ding, Delaney D, Dirac, M Ashworth, Dixit, Abhinav, Dixit, Shilpi Gupta, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, 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2024
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