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1. Prognostic models in COVID-19 infection that predict severity: a systematic review

Author

Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Ehrhard, Simone, Que, Yok-Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, and Muka, Taulant

Published
2023
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2. Outcomes of interventions in neonatal sepsis: A systematic review of qualitative research

Author

Taneri, Petek Eylul, primary, Devane, Declan, additional, Kirkham, Jamie, additional, Molloy, Eleanor, additional, Daly, Mandy, additional, Branagan, Aoife, additional, Suguitani, Denise, additional, Wynn, James L., additional, Kissoon, Niranjan, additional, Kawaza, Kondwani, additional, Simons, Sinno H. P., additional, Bonnard, Lívia Nagy, additional, Giannoni, Eric, additional, Strunk, Tobias, additional, Ohaja, Magdalena, additional, Mugabe, Kenneth, additional, Quirke, Fiona, additional, Bazilio, Kateregga, additional, and Biesty, Linda, additional

Published
2024
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4. Anemia and iron metabolism in COVID-19 : a systematic review and meta-analysis

Author

Taneri, Petek Eylul, Gómez-Ochoa, Sergio Alejandro, Llanaj, Erand, Raguindin, Peter Francis, Rojas, Lyda Z., Roa-Díaz, Zayne Milena, Salvador, Dante, Groothof, Dion, Minder, Beatrice, Kopp-Heim, Doris, Hautz, Wolf E., Eisenga, Michele F., Franco, Oscar H., Glisic, Marija, and Muka, Taulant

Published
2020

5. Protocol for the development of a core outcome set for neonatal sepsis (NESCOS)

Author

Taneri, Petek Eylul, primary, Kirkham, Jamie J., additional, Molloy, Eleanor J., additional, Biesty, Linda, additional, Polin, Richard A., additional, Wynn, James L., additional, Stoll, Barbara J., additional, Kissoon, Niranjan, additional, Kawaza, Kondwani, additional, Daly, Mandy, additional, Branagan, Aoife, additional, Bonnard, Lívia Nagy, additional, Giannoni, Eric, additional, Strunk, Tobias, additional, Ohaja, Magdalena, additional, Mugabe, Kenneth, additional, Suguitani, Denise, additional, Quirke, Fiona, additional, and Devane, Declan, additional

Published
2023
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6. Effectiveness of SARS‐CoV‐2 testing strategies: A scoping review

Author

Saif‐Ur‐Rahman, KM, primary, Movsisyan, Ani, additional, Kothari, Kavita, additional, Conway, Thomas, additional, Tierney, Marie, additional, Madden, Caoimhe, additional, Taneri, Petek Eylul, additional, O'Halloran, Jane A., additional, Nurdin, Nadra, additional, Murphy, Lena, additional, Mulholland, Deirdre, additional, Tricco, Andrea C., additional, and Devane, Declan, additional

Published
2023
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8. A 7-Step Guideline for Qualitative Synthesis and Meta-Analysis of Observational Studies in Health Sciences

Author

Glisic, Marija, primary, Raguindin, Peter Francis, additional, Gemperli, Armin, additional, Taneri, Petek Eylul, additional, Salvador, Dante Jr., additional, Voortman, Trudy, additional, Marques Vidal, Pedro, additional, Papatheodorou, Stefania I., additional, Kunutsor, Setor K., additional, Bano, Arjola, additional, Ioannidis, John P. A., additional, and Muka, Taulant, additional

Published
2023
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9. A 7-Step Guideline for Qualitative Synthesis and Meta-Analysis of Observational Studies in Health Sciences

Author

Glisic, Marija, Raguindin, Peter Francis, Gemperli, Armin, Taneri, Petek Eylul, Salvador, Dante Jr, Voortman, Trudy, Marques Vidal, Pedro, Papatheodorou, Stefania I, Kunutsor, Setor K, Bano, Arjola, Ioannidis, John P A, and Muka, Taulant

Subjects
Community and Home Care, SDG 3 - Good Health and Well-being, cohort studies, 360 Social problems & social services, systematic review and meta analysis, Public Health, Environmental and Occupational Health, cross-sectional studies, evidence-based approach, observational study, systematic review and meta-analysis, 610 Medicine & health, evidence based approach
Abstract

Objectives: To provide a step-by-step, easy-to-understand, practical guide for systematic review and meta-analysis of observational studies. Methods: A multidisciplinary team of researchers with extensive experience in observational studies and systematic review and meta-analysis was established. Previous guidelines in evidence synthesis were considered. Results: There is inherent variability in observational study design, population, and analysis, making evidence synthesis challenging. We provided a framework and discussed basic meta-analysis concepts to assist reviewers in making informed decisions. We also explained several statistical tools for dealing with heterogeneity, probing for bias, and interpreting findings. Finally, we briefly discussed issues and caveats for translating results into clinical and public health recommendations. Our guideline complements "A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research" and addresses peculiarities for observational studies previously unexplored. Conclusion: We provided 7 steps to synthesize evidence from observational studies. We encourage medical and public health practitioners who answer important questions to systematically integrate evidence from observational studies and contribute evidence-based decision-making in health sciences., + ID der Publikation: unilu_68411 + Sprache: Englisch + Letzte Aktualisierung: 2023-06-30 11:16:54

Published
2023
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10. Prognostic models in COVID-19 infection that predict severity:a systematic review

Author

Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Ehrhard, Simone, Que, Yok Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, Muka, Taulant, Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Ehrhard, Simone, Que, Yok Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, and Muka, Taulant

Abstract

Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We performed a systematic review to summarize and critically appraise the available studies that have developed, assessed and/or validated prognostic models of COVID-19 predicting health outcomes. We searched six bibliographic databases to identify published articles that investigated univariable and multivariable prognostic models predicting adverse outcomes in adult COVID-19 patients, including intensive care unit (ICU) admission, intubation, high-flow nasal therapy (HFNT), extracorporeal membrane oxygenation (ECMO) and mortality. We identified and assessed 314 eligible articles from more than 40 countries, with 152 of these studies presenting mortality, 66 progression to severe or critical illness, 35 mortality and ICU admission combined, 17 ICU admission only, while the remaining 44 studies reported prediction models for mechanical ventilation (MV) or a combination of multiple outcomes. The sample size of included studies varied from 11 to 7,704,171 participants, with a mean age ranging from 18 to 93 years. There were 353 prognostic models investigated, with area under the curve (AUC) ranging from 0.44 to 0.99. A great proportion of studies (61.5%, 193 out of 314) performed internal or external validation or replication. In 312 (99.4%) studies, prognostic models were reported to be at high risk of bias due to uncertainties and challenges surrounding methodological rigor, sampling, handling of missing data, failure to deal with overfitting and heterogeneous definitions of COVID-19 and severity outcomes. While several clinical prognostic models for COVID-19 have been described in the literature, they are limited in generalizability and/or applicability due to deficiencies in addressing fundamental statistical and methodological concerns. Future large, multi-centric and well-designed prognostic prospective studies are needed to clarify remaining uncer

Published
2023

11. Prognostic models in COVID-19 infection that predict severity: a systematic review

Author

Cardiometabolic Health, Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Ehrhard, Simone, Que, Yok Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, Muka, Taulant, Cardiometabolic Health, Buttia, Chepkoech, Llanaj, Erand, Raeisi-Dehkordi, Hamidreza, Kastrati, Lum, Amiri, Mojgan, Meçani, Renald, Taneri, Petek Eylul, Ochoa, Sergio Alejandro Gómez, Raguindin, Peter Francis, Wehrli, Faina, Khatami, Farnaz, Espínola, Octavio Pano, Rojas, Lyda Z., de Mortanges, Aurélie Pahud, Macharia-Nimietz, Eric Francis, Alijla, Fadi, Minder, Beatrice, Leichtle, Alexander B., Lüthi, Nora, Ehrhard, Simone, Que, Yok Ai, Fernandes, Laurenz Kopp, Hautz, Wolf, and Muka, Taulant

Published
2023

12. Buckwheat and Cardiometabolic Health: A Systematic Review and Meta-Analysis

Author

Llanaj, Erand, primary, Ahanchi, Noushin Sadat, additional, Dizdari, Helga, additional, Taneri, Petek Eylul, additional, Niehot, Christa D., additional, Wehrli, Faina, additional, Khatami, Farnaz, additional, Raeisi-Dehkordi, Hamidreza, additional, Kastrati, Lum, additional, Bano, Arjola, additional, Glisic, Marija, additional, and Muka, Taulant, additional

Published
2022
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13. Effectiveness of SARS-CoV-2 testing strategies: a scoping review

Author

Madden, Caoimhe, Nurdin, Nadra, Mulholland, Deirdre, Movsisyan, Ani, Conway, Thomas, Kothari, Kavita, Saif-Ur-Rahman, KM, Tricco, Andrea, Tierney, Marie, Devane, Declan, Murphy, Lena, Taneri, Petek Eylul, and O'Halloran, Jane A.

Subjects
SARS-CoV-2, Medicine and Health Sciences, Life Sciences
Abstract

This scoping review aims to map the available evidence on the effectiveness of SARS-CoV-2 testing strategies for suspected cases and asymptomatic populations. The review will inform the development of WHO recommendations for “national SARS-CoV-2 testing strategies and diagnostic capacities” of SARS-CoV-2 testing strategies to mitigate community transmission of SARS-CoV-2, morbidity, and mortality in a cost-efficient manner.

Published
2023
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15. Association Between Ultra-Processed Food Intake and All-Cause Mortality: A Systematic Review and Meta-Analysis

Author

Taneri, Petek Eylul, primary, Wehrli, Faina, additional, Roa-Díaz, Zayne M, additional, Itodo, Oche Adam, additional, Salvador, Dante, additional, Raeisi-Dehkordi, Hamidreza, additional, Bally, Lia, additional, Minder, Beatrice, additional, Kiefte-de Jong, Jessica C, additional, Laine, Jessica E, additional, Bano, Arjola, additional, Glisic, Marija, additional, and Muka, Taulant, additional

Published
2022
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17. Risk Prediction Models of Natural Menopause Onset: A Systematic Review.

Author

Raeisi-Dehkordi, Hamidreza, Kummer, Stefanie, Raguindin, Peter Francis, Dejanovic, Gordana, Taneri, Petek Eylul, Cardona, Isabel, Kastrati, Lum, Minder, Beatrice, Voortman, Trudy, Marques-Vidal, Pedro, Dhana, Klodian, Glisic, Marija, and Muka, Taulant

Subjects
PREDICTION models, PERIMENOPAUSE, ANTI-Mullerian hormone, FOLLICLE-stimulating hormone, ETHNICITY
Abstract

Context: Predicting the onset of menopause is important for family planning and to ensure prompt intervention in women at risk of developing menopause-related diseases. Objective: We aimed to summarize risk prediction models of natural menopause onset and their performance. Methods: Five bibliographic databases were searched up to March 2022. We included prospective studies on perimenopausal women or women in menopausal transition that reported either a univariable or multivariable model for risk prediction of natural menopause onset. Two authors independently extracted data according to the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist. Risk of bias was assessed using a prediction model risk of bias assessment tool (PROBAST). Results: Of 8132 references identified, we included 14 articles based on 8 unique studies comprising 9588 women (mainly Caucasian) and 3289 natural menopause events. All included studies used onset of natural menopause (ONM) as outcome, while 4 studies also predicted early ONM. Overall, there were 180 risk prediction models investigated, with age, anti-Müllerian hormone, and follicle-stimulating hormone being the most investigated predictors. Estimated C-statistic for the prediction models ranged from 0.62 to 0.95. Although all studies were rated at high risk of bias mainly due to the methodological concerns related to the statistical analysis, their applicability was satisfactory. Conclusion: Predictive performance and generalizability of current prediction models on ONM is limited given that these models were generated from studies at high risk of bias and from specific populations/ethnicities. Although in certain settings such models may be useful, efforts to improve their performance are needed as use becomes more widespread. [ABSTRACT FROM AUTHOR]

Published
2022
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18. Anemia and iron metabolism in COVID-19: A systematic review and meta-analysis

Author

Taneri, Petek Eylul, primary, Alejandro Gómez-Ochoa, Sergio, additional, Llanaj, Erand, additional, Francis Raguindin, Peter, additional, Rojas, Lyda Z., additional, Wyssmann, Beatrice Minder, additional, Kopp-Heim, Doris, additional, Hautz, Wolf E., additional, Eisenga, Michele F., additional, Franco, Oscar H., additional, Glisic, Marija, additional, and Muka, Taulant, additional

Published
2020
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23. Automation tools to support undertaking scoping reviews.

Author

Khalil, Hanan, Pollock, Danielle, McInerney, Patricia, Evans, Catrin, Moraes, Erica B., Godfrey, Christina M., Alexander, Lyndsay, Tricco, Andrea, Peters, Micah D. J., Pieper, Dawid, Saran, Ashrita, Ameen, Daniel, Taneri, Petek Eylul, and Munn, Zachary

Abstract

Objective Study Design and Setting Results Conclusion This paper describes several automation tools and software that can be considered during evidence synthesis projects and provides guidance for their integration in the conduct of scoping reviews.The guidance presented in this work is adapted from the results of a scoping review and consultations with the JBI Scoping Review Methodology group.This paper describes several reliable, validated automation tools and software that can be used to enhance the conduct of scoping reviews. Developments in the automation of systematic reviews, and more recently scoping reviews, are continuously evolving. We detail several helpful tools in order of the key steps recommended by the JBI's methodological guidance for undertaking scoping reviews including team establishment, protocol development, searching, de‐duplication, screening titles and abstracts, data extraction, data charting, and report writing. While we include several reliable tools and software that can be used for the automation of scoping reviews, there are some limitations to the tools mentioned. For example, some are available in English only and their lack of integration with other tools results in limited interoperability.This paper highlighted several useful automation tools and software programs to use in undertaking each step of a scoping review. This guidance has the potential to inform collaborative efforts aiming at the development of evidence informed, integrated automation tools and software packages for enhancing the conduct of high‐quality scoping reviews. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Dietary Factors and Modulation of Bacteria Strains of Akkermansia muciniphila and Faecalibacterium prausnitzii: A Systematic Review

Author

Verhoog, Sanne, Taneri, Petek Eylul, Roa Díaz, Zayne M., Marques-Vidal, Pedro, Troup, John P, Bally, Lia, Franco, Oscar H., Glisic, Marija, and Muka, Taulant

Subjects
610 Medicine & health, 360 Social problems & social services, 3. Good health
Abstract

and are highly abundant human gut microbes in healthy individuals, and reduced levels are associated with inflammation and alterations of metabolic processes involved in the development of type 2 diabetes. Dietary factors can influence the abundance of and , but the evidence is not clear. We systematically searched PubMed and Embase to identify clinical trials investigating any dietary intervention in relation to and . Overall, 29 unique trials were included, of which five examined 19 examined , and six examined both, in a total of 1444 participants. A caloric restriction diet and supplementation with pomegranate extract, resveratrol, polydextrose, yeast fermentate, sodium butyrate, and inulin increased the abundance of , while a diet low in fermentable oligosaccharides, disaccharides, monosaccharides, and polyols decreased the abundance of . For , the main studied intervention was prebiotics (e.g. fructo-oligosaccharides, inulin type fructans, raffinose); seven studies reported an increase after prebiotic intervention, while two studies reported a decrease, and four studies reported no difference. Current evidence suggests that some dietary factors may influence the abundance of and However, more research is needed to support these microflora strains as targets of microbiome shifts with dietary intervention and their use as medical nutrition therapy in prevention and management of chronic disease.

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