Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence
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Background: Single group data present unique challenges for synthesises of evidence. Proportional meta-analysis is becoming an increasingly common technique employed for the synthesis of single group data. Proportional meta-analysis shares many similarities with the conduct and reporting of comparative, or pairwise, meta-analysis. While robust and comprehensive methods exist detailing how researchers can conduct a meta-analysis that compares two (or more) groups against a common intervention, there is a scarcity of methodological guidance available to assist synthesisers of evidence in the conduct, interpretation, and importance of proportional meta-analysis in systematic reviews. Main body: This paper presents an overview targeted to synthesisers of evidence and systematic review authors that details the methods, importance, and interpretation of a proportional meta-analysis. We provide worked examples of how proportional meta-analyses have been conducted in research syntheses previously and consider the methods, statistical considerations, and presentation of this technique. Conclusion: This overview is designed to serve as practical guidance for synthesisers of evidence in the conduct of proportional meta-analyses.
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Proportions were combined using logit transformation to address CI estimates falling outside the zero to 1 range.
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955 · see citing works
Reitsma, J. B., Glas, A. S., Rutjes, A. W. S., Scholten, R. J. P. M., Bossuyt, P. M., & Zwinderman, A. H. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.02.022 · Cited by 3,369 · see citing works
A Re-Evaluation of Random-Effects Meta-Analysis
Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2008.00552.x · Cited by 2,569 · see citing works
Methodological quality and synthesis of case series and case reports
Murad, M. H., Sultan, S., Haffar, S., & Bazerbachi, F. (2018) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2017-110853 · Cited by 2,242 · see citing works
Munn, Z., Moola, S., Riitano, D., & Lisy, K. (2014) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2014.71 · Cited by 1,479 · cited 3× · see citing works
“Prevalence and cumulative incidence estimates are normally generated through observational studies and proportions are the typical format in which data is likely to take when conducting a systematic review of prevalence or cumulative incidence [8, 9].”
BackgroundSelf-citationTufanaru, C., Munn, Z., Stephenson, M., & Aromataris, E. (2015) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000065 · Cited by 1,057 · see citing works
Self-citationMunn, Z., Aromataris, E., Tufanaru, C., Stern, C., Porritt, K., Farrow, J., Lockwood, C., Stephenson, M., Moola, S., Lizarondo, L., et al. (2019) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000152 · Cited by 977 · see citing works
Self-citationZhao, Q.-F., Tan, L., Wang, H.-F., Jiang, T., Tan, M.-S., Tan, L., Xu, W., Li, J.-Q., Wang, J., Lai, T.-J., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.09.069 · Cited by 916 · see citing works
Righy, C., Rosa, R. G., da Silva, R. T. A., Kochhann, R., Migliavaca, C. B., Robinson, C. C., Teche, S. P., Teixeira, C., Bozza, F. A., & Falavigna, M. (2019) · Critical Care · doi:10.1186/s13054-019-2489-3 · Cited by 319 · see citing works
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Research works printed but not linked: 35
- [1]Rao SR Graubard BI Schmid CH Morton SC Louis TA Zaslavsky AM Meta-analysis of survey data: application to health services research Health Serv Outcomes Res Methodol 2008 8 2 98 114 10.1007/s10742-008-0032-0 · DOI · Paper page
- [3]Kahn SK. Systematic reviews to support evidence-based medicine: how to review and apply findings of healthcare research. London: Royal Society of Medicine Press; 2003.
- [4]Barendregt JJ Doi SA Lee YY Norman RE Vos T Meta-analysis of prevalence J Epidemiol Community Health 2013 67 11 974 978 10.1136/jech-2013-203104 23963506 · DOI · Paper page
- [5]Riley RD Moons KG Snell KI Ensor J Hooft L Altman DG A guide to systematic review and meta-analysis of prognostic factor studies BMJ 2019 364 k4597 10.1136/bmj.k4597 30700442 · DOI
- [6]Iorio A Spencer FA Falavigna M Alba C Lang E Burnand B Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients BMJ 2015 350 h870 10.1136/bmj.h870 25775931 · DOI · Paper page
- [7]Borges Migliavaca C Stein C Colpani V Barker TH Munn Z Falavigna M How are systematic reviews of prevalence conducted? A methodological study BMC Med Res Methodol 2020 20 1 9 10.1186/s12874-020-00975-3 PMC7184711 32336279 · DOI · Paper page
- [8]Munn Z Stern C Aromataris E Lockwood C Jordan Z What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences BMC Med Res Methodol 2018 18 1 5 10.1186/s12874-017-0468-4 29316881 PMC5761190 · DOI · Paper page
- [11]Escobar-Morreale HF Santacruz E Luque-Ramírez M Botella Carretero JI Prevalence of ‘obesity-associated gonadal dysfunction’in severely obese men and women and its resolution after bariatric surgery: a systematic review and meta-analysis Hum Reprod Update 2017 23 4 390 408 10.1093/humupd/dmx012 28486593 · DOI
- [12]Munn Z Moola S Lisy K Riitano D Murphy F Claustrophobia in magnetic resonance imaging: a systematic review and meta-analysis Radiography 2015 21 2 e59 e63 10.1016/j.radi.2014.12.004 · DOI
- [13]Parola V Coelho A Cardoso D Sandgren A Apóstolo J Prevalence of burnout in health professionals working in palliative care: a systematic review JBI Database System Rev Implement Rep 2017 15 7 1905 1933 10.11124/JBISRIR-2016-003309 28708752 · DOI
- [14]Tham Y-C Li X Wong TY Quigley HA Aung T Cheng C-Y Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis Ophthalmology 2014 121 11 2081 2090 10.1016/j.ophtha.2014.05.013 24974815 · DOI · Paper page
- [15]Hill NR Fatoba ST Oke JL Hirst JA O’Callaghan CA Lasserson DS Global prevalence of chronic kidney disease–a systematic review and meta-analysis PloS one 2016 11 7 e0158765 10.1371/journal.pone.0158765 27383068 PMC4934905 · DOI
- [16]Munn Z Moola S Lisy K Riitano D Tufanaru C Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data Int J Evid Based Healthc 2015 13 3 147 153 10.1097/XEB.0000000000000054 26317388 · DOI · Paper page
- [18]Munn Z Moola S Lisy K Riitano D The Joanna Briggs institute reviewers’ manual 2014 The systematic review of prevalence and incidence data 2014 Adelaide The Joanna Briggs Institute
- [20]Colpani V Soares Falcetta F Bacelo Bidinotto A Kops NL Falavigna M Serpa Hammes L Prevalence of human papillomavirus (HPV) in Brazil: a systematic review and meta-analysis PLoS One 2020 15 2 e0229154 10.1371/journal.pone.0229154 32084177 PMC7034815 · DOI
- [24]Cook JA The challenges faced in the design, conduct and analysis of surgical randomised controlled trials Trials 2009 10 1 1 9 10.1186/1745-6215-10-9 19200379 PMC2654883 · DOI
- [25]Schizas D Frountzas M Sgouromallis E Spartalis E Mylonas KS Papaioannou TG Esophageal defect repair by artificial scaffolds: a systematic review of experimental studies and proportional meta-analysis Dis Esophagus 2020 34 3 doaa104 10.1093/dote/doaa104 33016317 · DOI
- [26]Legatti SAM El Dib R Legatti E Botan AG Camargo SEA Agarwal A Acute kidney injury in cats and dogs: a proportional meta-analysis of case series studies PLoS One 2018 13 1 e0190772 10.1371/journal.pone.0190772 29370180 PMC5784898 · DOI
- [27]Ianunzio JR Effectiveness of operative interventions in individuals with a hemi or total hip arthroplasty who sustain a Vancouver B2 peri-prosthetic femoral fracture [thesis] 2018 Adelaide The University of Adelaide 28178018
- [28]Pham C Lizarondo L Karnon J Aromataris E Munn Z Gibb C Strategies for implementing shared decision making in elective surgery by health care practitioners: a systematic review J Eval Clin Pract 2020 26 2 582 601 10.1111/jep.13282 31490593 · DOI
- [29]Lee J Kim KW Choi SH Huh J Park SH Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers-part II. Statistical methods of meta-analysis Korean J Radiol 2015 16 6 1188 1196 10.3348/kjr.2015.16.6.1188 26576107 PMC4644739 · DOI
- [30]Campbell JM Klugar M Ding S Carmody DP Hakonsen SJ Jadotte YT Diagnostic test accuracy: methods for systematic review and meta-analysis Int J Evid Based Healthc 2015 13 3 154 162 10.1097/XEB.0000000000000061 26355602 · DOI · Paper page
- [31]Decks JJ Systematic reviews in health care: systematic reviews of evaluations of diagnostic and screening tests BMJ 2001 323 7305 157 162 10.1136/bmj.323.7305.157 11463691 PMC1120791 · DOI
- [32]Harbord RM Deeks JJ Egger M Whiting P Sterne JA A unification of models for meta-analysis of diagnostic accuracy studies Biostatistics 2007 8 2 239 251 10.1093/biostatistics/kxl004 16698768 · DOI
- [34]Rutter CM Gatsonis CA A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations Stat Med 2001 20 19 2865 2884 10.1002/sim.942 11568945 · DOI
- [35]García-Pérez MA Statistical conclusion validity: some common threats and simple remedies Front Psychol 2012 3 325 22952465 PMC3429930
- [36]Bland M An introduction to medical statistics 2015 UK Oxford University Press
- [38]Schwarzer G Chemaitelly H Abu-Raddad LJ Rücker G Seriously misleading results using inverse of freeman-Tukey double arcsine transformation in meta-analysis of single proportions Res Synth Methods 2019 10 3 476 483 10.1002/jrsm.1348 30945438 PMC6767151 · DOI · Paper page
- [40]Saha S Chant D Mcgrath J Meta-analyses of the incidence and prevalence of schizophrenia: conceptual and methodological issues Int J Methods Psychiatr Res 2008 17 1 55 61 10.1002/mpr.240 18286464 PMC6878550 · DOI · Paper page
- [42]Borenstein M, Hedges LV, Higgins JP, Rothstein HR. Introduction to meta-analysis. Chichester: Wiley; 2021.
- [43]Migliavaca CB Stein C Colpani V Munn Z Falavigna M Quality assessment of prevalence studies: a systematic review J Clin Epidemiol 2020 127 59 68 10.1016/j.jclinepi.2020.06.039 32679313 · DOI · Paper page
- [45]Dunnigan K Confidence interval calculation for binomial proportions 2008 Indianapolis MWSUG Conference
- [46]Newcombe RG Interval estimation for the difference between independent proportions: comparison of eleven methods Stat Med 1998 17 8 873 890 10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I 9595617 · DOI · Paper page
- [47]Brown LD Cai TT DasGupta A Interval estimation for a binomial proportion Stat Sci 2001 16 2 101 133 10.1214/ss/1009213286 · DOI
- [49]Egger M Smith GD Schneider M Minder C Bias in meta-analysis detected by a simple, graphical test. Increase in studies of publication bias coincided with increasing use of meta-analysis Br Med J 1997 316 629 634 10.1136/bmj.315.7109.629 · DOI · Paper page
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Garza, M. Y., Williams, T., Ounpraseuth, S., Hu, Z., Lee, J., Snowden, J., Walden, A. C., Simon, A. E., Devlin, L. A., Young, L. W., et al. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105749 · Cited by 17 · see citing works
Schincariol, A., Otgaar, H., Greene, C. M., Murphy, G., Riesthuis, P., Mangiulli, I., & Battista, F. (2024) · Memory, Mind & Media · doi:10.1017/mem.2024.14 · Cited by 8 · see citing works
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- Authors
- Barker, T. H., Migliavaca, C. B., Stein, C., Colpani, V., Falavigna, M., Aromataris, E., & Munn, Z.
- Affiliations
- The University of Adelaide (AU)
- Universidade Federal do Rio Grande do Sul (BR)
- Hospital Moinhos de Vento (BR)
- Corresponding author
- Barker, Timothy Hugh
- ORCID
- Venue
- BMC Medical Research Methodology
- Published
- 2021-09-20
- Volume
- 21
- Issue
- 1
- Pages
- 189-189
- ISSN
- 1471-2288 (ISSN-L)
- PMC
- PMC8451728
- OpenAlex
- W3200920720
- Cited by
- 738
- References
- 10
- Citations by year
- 2026: 140 · 2025: 193 · 2024: 231 · 2023: 134 · 2022: 39 · 2021: 1
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Medical Research Methodology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- systematic reviews, evidence synthesis, methodological recommendations, statistical interpretation, meta-analysis methodology
- MeSH terms
- Systematic Reviews as Topic, Humans, Research Design, Research Personnel
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