Danielle Pollock, Sabira Hasanoff, Timothy Hugh Barker, Barbara Clyne, Andrea C Tricco, Andrew Booth, Christina Godfrey, Hanan Khalil, Romy Menghao Jia, Petek-Eylul Taneri, K M Saif-Ur-Rahman, Tom Conway, Menelaos Konstantinidis, Catherine Stratton, Deborah Edwards, Lyndsay Alexander, Judith Carrier, Nahal Habibi, Marco Zaccagnini, Cindy Stern, Chelsea Valenzuela, Carrie Price, Jennifer C Stone, Edoardo Aromataris, Zoe Jordan, Mafalda Dias, Grace McBride, Raju Kanukula, Holger J Schuenemann, Reem A Mustafa, Alan Pearson, Miloslav Klugar, Maria Ximena Rojas, Pablo Alonso-Coello, Paul Whaley, Miranda Langendam, Tracy Merlin, Sharon Straus, Sandeep Moola, Brian S Alper, Zachary Munn
{"title":"Over 1000 terms have been used to describe evidence synthesis: a scoping review.","authors":"Danielle Pollock, Sabira Hasanoff, Timothy Hugh Barker, Barbara Clyne, Andrea C Tricco, Andrew Booth, Christina Godfrey, Hanan Khalil, Romy Menghao Jia, Petek-Eylul Taneri, K M Saif-Ur-Rahman, Tom Conway, Menelaos Konstantinidis, Catherine Stratton, Deborah Edwards, Lyndsay Alexander, Judith Carrier, Nahal Habibi, Marco Zaccagnini, Cindy Stern, Chelsea Valenzuela, Carrie Price, Jennifer C Stone, Edoardo Aromataris, Zoe Jordan, Mafalda Dias, Grace McBride, Raju Kanukula, Holger J Schuenemann, Reem A Mustafa, Alan Pearson, Miloslav Klugar, Maria Ximena Rojas, Pablo Alonso-Coello, Paul Whaley, Miranda Langendam, Tracy Merlin, Sharon Straus, Sandeep Moola, Brian S Alper, Zachary Munn","doi":"10.1136/bmjebm-2024-113391","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To inform the development of an evidence synthesis taxonomy, we aimed to identify and examine all classification systems, typologies or taxonomies that have been proposed for evidence synthesis methods.</p><p><strong>Design: </strong>Scoping review.</p><p><strong>Methods: </strong>This review followed JBI (previously Joanna Briggs Institute) scoping review methodology and was reported according to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Resources that investigated typologies, taxonomies, classification systems and compendia for evidence synthesis within any field were eligible for inclusion. A comprehensive search across MEDLINE (Ovid), Embase (OVID), CINAHL with Full-Text (EBSCO), ERIC (EBSCO), Scopus, Compendex (Elsevier) and JSTOR was performed on 28 April 2022. This was supplemented by citation searching of key articles, contact with experts, targeted searching of organisational websites and additional grey literature searching. Documents were extracted by one reviewer and extractions verified by another reviewer. Data were analysed using frequency counts and a basic qualitative content analysis approach. Results are presented using bar charts, word clouds and narrative summary.</p><p><strong>Results: </strong>There were 15 634 titles and abstracts screened, and 703 full texts assessed for eligibility. Ultimately, 446 documents were included, and 49 formal classification systems identified, with the remaining documents presenting structured lists, simple listings or general discussions. Included documents were mostly not field-specific (n=242) or aligned to clinical sciences (n=83); however, public health, education, information technology, law and engineering were also represented. Documents (n=148) mostly included two to three evidence synthesis types, while 22 documents mentioned over 20 types of evidence synthesis. We identified 1010 unique terms to describe a type of evidence synthesis; of these, 742 terms were only mentioned once. Facets that could usefully distinguish (ie, similarities and differences or characteristics) between evidence synthesis approaches were categorised based on similarity into 15 overarching dimensions. These dimensions include review question and foci of interest, discipline/field, perspective, coverage, eligibility criteria, review purpose, methodological principles, theoretical underpinnings/philosophical perspective, resource considerations, compatibility with heterogeneity, sequence planning, analytical synthesis techniques, intended product/output, intended audience and intended impact or influence.</p><p><strong>Conclusion: </strong>This scoping review identified numerous unique terms to describe evidence synthesis approaches and many diverse ways to distinguish or categorise review types. These results suggest a need for the evidence synthesis community to organise, categorise and harmonise evidence synthesis approaches and terminolog.</p>","PeriodicalId":9059,"journal":{"name":"BMJ Evidence-Based Medicine","volume":" ","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Evidence-Based Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjebm-2024-113391","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To inform the development of an evidence synthesis taxonomy, we aimed to identify and examine all classification systems, typologies or taxonomies that have been proposed for evidence synthesis methods.
Design: Scoping review.
Methods: This review followed JBI (previously Joanna Briggs Institute) scoping review methodology and was reported according to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Resources that investigated typologies, taxonomies, classification systems and compendia for evidence synthesis within any field were eligible for inclusion. A comprehensive search across MEDLINE (Ovid), Embase (OVID), CINAHL with Full-Text (EBSCO), ERIC (EBSCO), Scopus, Compendex (Elsevier) and JSTOR was performed on 28 April 2022. This was supplemented by citation searching of key articles, contact with experts, targeted searching of organisational websites and additional grey literature searching. Documents were extracted by one reviewer and extractions verified by another reviewer. Data were analysed using frequency counts and a basic qualitative content analysis approach. Results are presented using bar charts, word clouds and narrative summary.
Results: There were 15 634 titles and abstracts screened, and 703 full texts assessed for eligibility. Ultimately, 446 documents were included, and 49 formal classification systems identified, with the remaining documents presenting structured lists, simple listings or general discussions. Included documents were mostly not field-specific (n=242) or aligned to clinical sciences (n=83); however, public health, education, information technology, law and engineering were also represented. Documents (n=148) mostly included two to three evidence synthesis types, while 22 documents mentioned over 20 types of evidence synthesis. We identified 1010 unique terms to describe a type of evidence synthesis; of these, 742 terms were only mentioned once. Facets that could usefully distinguish (ie, similarities and differences or characteristics) between evidence synthesis approaches were categorised based on similarity into 15 overarching dimensions. These dimensions include review question and foci of interest, discipline/field, perspective, coverage, eligibility criteria, review purpose, methodological principles, theoretical underpinnings/philosophical perspective, resource considerations, compatibility with heterogeneity, sequence planning, analytical synthesis techniques, intended product/output, intended audience and intended impact or influence.
Conclusion: This scoping review identified numerous unique terms to describe evidence synthesis approaches and many diverse ways to distinguish or categorise review types. These results suggest a need for the evidence synthesis community to organise, categorise and harmonise evidence synthesis approaches and terminolog.
期刊介绍:
BMJ Evidence-Based Medicine (BMJ EBM) publishes original evidence-based research, insights and opinions on what matters for health care. We focus on the tools, methods, and concepts that are basic and central to practising evidence-based medicine and deliver relevant, trustworthy and impactful evidence.
BMJ EBM is a Plan S compliant Transformative Journal and adheres to the highest possible industry standards for editorial policies and publication ethics.