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Over 1000 terms have been used to describe evidence synthesis: a scoping review

Pollock, Danielle, Hasanoff, Sabira, Barker, Timothy Hugh, Clyne, Barbara, Tricco, Andrea C, Booth, Andrew, Godfrey, Christina, Khalil, Hanan, Jia, Romy Menghao, Taneri, Petek-Eylul, Saif-Ur-Rahman, KM, Conway, Tom, Konstantinidis, Menelaos, Stratton, Catherine, Edwards, Deborah, Alexander, Lyndsay, Carrier, Judith, Habibi, Nahal, Zaccagnini, Marco, Stern, Cindy, Valenzuela, Chelsea, Price, Carrie, Stone, Jennifer C, Aromataris, Edoardo, Jordan, Zoe, Dias, Mafalda, McBride, Grace, Kanukula, Raju, Schuenemann, Holger J, Mustafa, Reem A, Pearson, Alan, Klugar, Miloslav, Ximena Rojas, Maria, Alonso-Coello, Pablo, Whaley, Paul, Langendam, Miranda, Merlin, Tracy, Straus, Sharon, Moola, Sandeep, Alper, Brian S, Munn, Zachary·2026·BMJ Evidence-Based Medicine

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

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Figure 1 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-­ Analyses) flow diagram.
Figure 1 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-­ Analyses) flow diagram.CC-BY · From the PDF
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Figure 2 CC-BY · From the PDF

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Cites

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Metadata

Authors
Pollock, D., Hasanoff, S., Barker, T. H., Clyne, B., Tricco, A. C., Booth, A., Godfrey, C., Khalil, H., Jia, R. M., Taneri, P.-E., Saif-Ur-Rahman, K., Conway, T., Konstantinidis, M., Stratton, C., Edwards, D., Alexander, L., Carrier, J., Habibi, N., Zaccagnini, M., Stern, C., Valenzuela, C., Price, C., Stone, J. C., Aromataris, E., Jordan, Z., Dias, M., McBride, G., Kanukula, R., Schuenemann, H. J., Mustafa, R. A., Pearson, A., Klugar, M., Ximena Rojas, M., Alonso-Coello, P., Whaley, P., Langendam, M., Merlin, T., Straus, S., Moola, S., Alper, B. S., & Munn, Z.
Affiliations
  • Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
  • Department of Public Health and Epidemiology, Royal College of Surgeons Ireland, Dublin, Ireland
  • Queen’s Collaboration for Health Care Quality: A JBI Centre of Excellence, Queen’s University School of Nursing, Kingston, Ontario, Canada
  • Sheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, South Yorkshire UK S1 4DA, Sheffield, South Yorkshire UK S1 4DA, UK
  • School of Psychology and Public Health, Department of Public Health, La Trobe University, Melbourne, Victoria, Australia
  • JBI, School of Public Health, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
  • Evidence Synthesis Ireland and Cochrane Ireland, University of Galway, Galway, Ireland
  • Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
  • Wales Centre For Evidence Based Care, School of Healthcare Sciences, Cardiff University, Cardiff, South Glamorgan, UK
  • Scottish Centre for Evidence-based, Multi-professional Practice: a JBI Centre of Excellence; School of Health Sciences, Robert Gordon University, Aberdeen, Scotland, UK
  • School of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Adelaide, South Australia, Australia
  • School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
  • Albert S. Cook Library, Towson University, Towson, Maryland, USA
  • Clinical Epidemiology and Research Center (CERC), Humanitas University & Humanitas Research Hospital, Milan, Italy
  • Department of Internal Medicine, Division of Nephrology and Hypertension, University of Kansas Medical Center, Kansas City, Kansas, USA
  • Cochrane Czech Republic, Czech Republic: a JBI Centre of Excellence, Czech GRADE Network, Institute of Health Information and Statistics of the Czech Republic, Praha, Czech Republic
  • Institut d’ Recerca, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
  • Institut de Recerca Sant Pau, Barcelona, Catalunya, Spain
  • Lancaster Environment Centre, Lancaster University, Lancaster, UK
  • Department of Epidemiology and Data Science, Amsterdam UMC, Amsterdam, Netherlands
  • Adelaide Health Technology Assessment (AHTA), School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
  • Department of Medicine, University of Toronto and Knowledge Translation Program, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
  • Med Tech Reimbursement Consulting, Hyderabad, India
  • Computable Publishing LLC, Scientific Knowledge Accelerator Foundation, Franklin, Tennessee, USA
Venue
BMJ Evidence-Based Medicine
Publisher
BMJ
Published
2025-10-17
Volume
31
Issue
4
Pages
221-231
ISSN
  • 2515-446X
  • 2515-4478
Cited by
5
References
10
Language
en
Funders
National Health and Medical Research Council (1195676)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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