CONSORT 2025 statement: updated guideline for reporting randomised trials
Sally Hopewell, An-Wen Chan, Gary S Collins et al. · BMJ · 2025
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From Arksey and O’Malley and Beyond: Customizations to enhance a team-based, mixed approach to scoping review methodology
Kristi K Westphaln, Wendy Regoeczi, Marie Masotya et al. · MethodsX · 2021
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IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves
Na Liu, Yanhong Zhou, J. Jack Lee · BMC Medical Research Methodology · 2021
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Global Research Trends on Prostate Diseases and Erectile Dysfunction: A Bibliometric and Visualized Study
Chengquan Ma, Hao Su, Hongjun Li · Frontiers in Oncology · 2021
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PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews
Melissa L. Rethlefsen, Shona Kirtley, Siw Waffenschmidt et al. · Journal of the Medical Library Association · 2021
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Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration
Veronika W Skrivankova, Rebecca C Richmond, Benjamin A R Woolf et al. · BMJ · 2021
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Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence
Timothy Hugh Barker, Celina Borges Migliavaca, Cinara Stein et al. · BMC Medical Research Methodology · 2021 · Meta-analysis
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Mapping Knowledge Structure and Themes Trends of Osteoporosis in Rheumatoid Arthritis: A Bibliometric Analysis
Haiyang Wu, Kunming Cheng, Qiang Guo et al. · Frontiers in Medicine · 2021
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Investigating the replicability of preclinical cancer biology
Timothy M Errington, Maya Mathur, Courtney K Soderberg et al. · eLife · 2021 · Meta-analysis
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PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews
Melissa L. Rethlefsen, Shona Kirtley, Siw Waffenschmidt et al. · Systematic Reviews · 2021
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Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better?
Lin-Lu Ma, Yun-Yun Wang, Zhi-Hua Yang et al. · Military Medical Research · 2020 · Review
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COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study
L. B. Mokkink, M. Boers, C. P. M. van der Vleuten et al. · BMC Medical Research Methodology · 2020
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Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An-Wen Chan et al. · Nature Medicine · 2020 · Review
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CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis
Theodoros Papakonstantinou, Adriani Nikolakopoulou, Julian P. T. Higgins et al. · Campbell Systematic Reviews · 2020
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CINeMA: An approach for assessing confidence in the results of a network meta-analysis
Adriani Nikolakopoulou, Julian P. T. Higgins, Theodoros Papakonstantinou et al. · PLOS Medicine · 2020
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Historical comparison of gender inequality in scientific careers across countries and disciplines
Junming Huang, Alexander J. Gates, Roberta Sinatra et al. · Proceedings of the National Academy of Sciences · 2020
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Intraclass correlation – A discussion and demonstration of basic features
David Liljequist, Britt Elfving, Kirsti Skavberg Roaldsen · PLOS ONE · 2019
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A guide to the reporting of protocols of pilot and feasibility trials
Lehana Thabane, Gillian Lancaster · Pilot and Feasibility Studies · 2019
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Qualitative evidence synthesis for complex interventions and guideline development: clarification of the purpose, designs and relevant methods
Kate Flemming, Andrew Booth, Ruth Garside et al. · BMJ Global Health · 2019 · Review
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Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study
Bach Xuan Tran, Giang Thu Vu, Giang Hai Ha et al. · Journal of Clinical Medicine · 2019
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