Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2025-114324
Nicolás Meza, Eva Madrid, Gerard Urrútia, Mike Clarke
{"title":"Aligning research funding and the production of useful evidence to reduce research waste.","authors":"Nicolás Meza, Eva Madrid, Gerard Urrútia, Mike Clarke","doi":"10.1136/bmjebm-2025-114324","DOIUrl":"https://doi.org/10.1136/bmjebm-2025-114324","url":null,"abstract":"","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":"30 6","pages":"434-436"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145653541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2024-113199
Gerald Gartlehner, Leila Kahwati, Barbara Nussbaumer-Streit, Karen Crotty, Rainer Hilscher, Shannon Kugley, Meera Viswanathan, Ian Thomas, Amanda Konet, Graham Booth, Robert Chew
{"title":"From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis.","authors":"Gerald Gartlehner, Leila Kahwati, Barbara Nussbaumer-Streit, Karen Crotty, Rainer Hilscher, Shannon Kugley, Meera Viswanathan, Ian Thomas, Amanda Konet, Graham Booth, Robert Chew","doi":"10.1136/bmjebm-2024-113199","DOIUrl":"10.1136/bmjebm-2024-113199","url":null,"abstract":"","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":" ","pages":"385-389"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12703319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142963742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2024-113532
Crystal N Steltenpohl, Brinna Mawhinney, Veli-Matti Karhulahti, Annayah M B Prosser
Open scholarship practices-often also referred to as open research or open science-are increasingly seen as relevant to the research lifecycle. What open scholarship looks like in practice will inevitably vary by field, methodology, epistemology, access to resources, and other considerations. In this article, we outline a few important considerations for researchers who use qualitative research methods in deciding which open scholarship practices are most applicable for their own work and suggest a few practices that may be of interest, namely data sharing, preregistration, negative case analysis, audit trails and member checking. Engagement or disengagement of any given practice should be guided by demands of research epistemology, context, community, topicn and methodology. Finally, we suggest a few places for researchers to start if they wish to learn more about open scholarship more broadly and engage with critical conversations around these practices.
{"title":"Open science for qualitative research.","authors":"Crystal N Steltenpohl, Brinna Mawhinney, Veli-Matti Karhulahti, Annayah M B Prosser","doi":"10.1136/bmjebm-2024-113532","DOIUrl":"10.1136/bmjebm-2024-113532","url":null,"abstract":"<p><p>Open scholarship practices-often also referred to as open research or open science-are increasingly seen as relevant to the research lifecycle. What open scholarship looks like in practice will inevitably vary by field, methodology, epistemology, access to resources, and other considerations. In this article, we outline a few important considerations for researchers who use qualitative research methods in deciding which open scholarship practices are most applicable for their own work and suggest a few practices that may be of interest, namely data sharing, preregistration, negative case analysis, audit trails and member checking. Engagement or disengagement of any given practice should be guided by demands of research epistemology, context, community, topicn and methodology. Finally, we suggest a few places for researchers to start if they wish to learn more about open scholarship more broadly and engage with critical conversations around these practices.</p>","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":" ","pages":"413-419"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144616165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2025-113825
Xufei Luo, Yih Chung Tham, Mauro Giuffrè, Robert Ranisch, Mohammad Daher, Kyle Lam, Alexander Viktor Eriksen, Che-Wei Hsu, Akihiko Ozaki, Fabio Ynoe de Moraes, Sahil Khanna, Kuan-Pin Su, Emir Begagić, Zhaoxiang Bian, Yaolong Chen, Janne Estill
Objectives: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essential, yet existing guidelines from journals and institutions are inconsistent, with no standardised principles.
Design and setting: International online Delphi study.
Participants: International experts in medicine and artificial intelligence.
Main outcome measures: The primary outcome measure is the consensus level of the Delphi expert panel on the items of inclusion criteria for GAMER (Rreporting guideline for the use of Generative Artificial intelligence tools in MEdical Research).
Results: The development process included a scoping review, two Delphi rounds and virtual meetings. 51 experts from 26 countries participated in the process (44 in the Delphi survey). The final checklist comprises nine reporting items: general declaration, GAI tool specifications, prompting techniques, tool's role in the study, declaration of new GAI model(s) developed, artificial intelligence-assisted sections in the manuscript, content verification, data privacy and impact on conclusions.
Conclusion: GAMER provides universal and standardised guideline for GAI use in medical research, ensuring transparency, integrity and quality.
{"title":"Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement.","authors":"Xufei Luo, Yih Chung Tham, Mauro Giuffrè, Robert Ranisch, Mohammad Daher, Kyle Lam, Alexander Viktor Eriksen, Che-Wei Hsu, Akihiko Ozaki, Fabio Ynoe de Moraes, Sahil Khanna, Kuan-Pin Su, Emir Begagić, Zhaoxiang Bian, Yaolong Chen, Janne Estill","doi":"10.1136/bmjebm-2025-113825","DOIUrl":"10.1136/bmjebm-2025-113825","url":null,"abstract":"<p><strong>Objectives: </strong>Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essential, yet existing guidelines from journals and institutions are inconsistent, with no standardised principles.</p><p><strong>Design and setting: </strong>International online Delphi study.</p><p><strong>Participants: </strong>International experts in medicine and artificial intelligence.</p><p><strong>Main outcome measures: </strong>The primary outcome measure is the consensus level of the Delphi expert panel on the items of inclusion criteria for GAMER (Rreporting guideline for the use of Generative Artificial intelligence tools in MEdical Research).</p><p><strong>Results: </strong>The development process included a scoping review, two Delphi rounds and virtual meetings. 51 experts from 26 countries participated in the process (44 in the Delphi survey). The final checklist comprises nine reporting items: general declaration, GAI tool specifications, prompting techniques, tool's role in the study, declaration of new GAI model(s) developed, artificial intelligence-assisted sections in the manuscript, content verification, data privacy and impact on conclusions.</p><p><strong>Conclusion: </strong>GAMER provides universal and standardised guideline for GAI use in medical research, ensuring transparency, integrity and quality.</p>","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":" ","pages":"390-400"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12703294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143972178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2025-114348
Juan Va Franco
{"title":"Towards the evolution of <i>Evidence-Based Medicine</i>.","authors":"Juan Va Franco","doi":"10.1136/bmjebm-2025-114348","DOIUrl":"https://doi.org/10.1136/bmjebm-2025-114348","url":null,"abstract":"","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":"30 6","pages":"359-360"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145653545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2024-113322
Ricardo Loor-Torres, Yvonne Bui, Karina Dahl Steffensen, Anja Fog Heen, Thomas Agoritsas, Marleen Kunneman, Meg E Carley, Esteban Cabezas, Dawn Stacey, Ian Hargraves, Victor M Montori
{"title":"Leading with options or issues to support purposeful shared decision-making in clinical practice.","authors":"Ricardo Loor-Torres, Yvonne Bui, Karina Dahl Steffensen, Anja Fog Heen, Thomas Agoritsas, Marleen Kunneman, Meg E Carley, Esteban Cabezas, Dawn Stacey, Ian Hargraves, Victor M Montori","doi":"10.1136/bmjebm-2024-113322","DOIUrl":"10.1136/bmjebm-2024-113322","url":null,"abstract":"","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":" ","pages":"409-412"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1136/bmjebm-2025-114339
Jacob Hough, Nicholas Culley, Chase Erganian, Fares Alahdab
{"title":"Potential risks of GenAI on medical education.","authors":"Jacob Hough, Nicholas Culley, Chase Erganian, Fares Alahdab","doi":"10.1136/bmjebm-2025-114339","DOIUrl":"https://doi.org/10.1136/bmjebm-2025-114339","url":null,"abstract":"","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":"30 6","pages":"406-408"},"PeriodicalIF":7.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145653555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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