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Celina Borges Migliavaca, Cinara Stein, Verônica Colpani, Timothy Hugh Barker, Patrícia Klarmann Ziegelmann, Zachary Munn, Maicon Falavigna, Prevalence Estimates Reviews—Systematic Review Methodology Group (PERSyst)
Over the last decade, there has been a 10‐fold increase in the number of published systematic reviews of prevalence. In meta‐analyses of prevalence, the summary estimate represents an average prevalence from included studies. This estimate is truly informative only if there is no substantial heterogeneity among the different contexts being pooled. In systematic reviews, heterogeneity is usually explored with I ‐squared statistic ( I 2 ), but this statistic does not directly inform us about the distribution of effects and frequently systematic reviewers and readers misinterpret this result. In a sample of 134 meta‐analyses of prevalence, the median I 2 was 96.9% (IQR 90.5–98.7). We observed larger I 2 in meta‐analysis with higher number of studies and extreme pooled estimates (defined as 90%). Studies with high I 2 values were more likely to have conducted a sensitivity analysis, including subgroup analysis but only three (2%) systematic reviews reported prediction intervals. We observed that meta‐analyses of prevalence often present high I 2 values. However, the number of studies included in the meta‐analysis and the point estimate can be associated with the I 2 value, and a high I 2 value is not always synonymous with high heterogeneity. In meta‐analyses of prevalence, I 2 statistics may not be discriminative and should be interpreted with caution, avoiding arbitrary thresholds. To discuss heterogeneity, reviewers should focus on the description of the expected range of estimates, which can be done using prediction intervals and planned sensitivity analysis.
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Migliavaca, C. B., Stein, C., Colpani, V., Barker, T. H., Ziegelmann, P. K., Munn, Z., Falavigna, M., & Prevalence Estimates Reviews—Systematic Review Methodology Group (PERSyst). (2022). Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity. Research Synthesis Methods, 13(3), 363–367. https://doi.org/10.1002/jrsm.1547
Migliavaca, Celina Borges, et al. "Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity." Research Synthesis Methods, vol. 13, no. 3, 2022, pp. 363–367, https://doi.org/10.1002/jrsm.1547.
Migliavaca, Celina Borges, Cinara Stein, Verônica Colpani, Timothy Hugh Barker, Patrícia Klarmann Ziegelmann, Zachary Munn, Maicon Falavigna, and Prevalence Estimates Reviews—Systematic Review Methodology Group (PERSyst). "Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity." Research Synthesis Methods 13, no. 3 (2022): 363–367. https://doi.org/10.1002/jrsm.1547.
Migliavaca C. B., Stein C., Colpani V. [и др.] Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity // Research Synthesis Methods. — 2022. — Vol. 13, № 3. — P. 363–367. — URL: https://doi.org/10.1002/jrsm.1547
@article{migliavaca2022metaanalysis,
title = {{Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity}},
author = {Celina Borges Migliavaca and Cinara Stein and Verônica Colpani and Timothy Hugh Barker and Patrícia Klarmann Ziegelmann and Zachary Munn and Maicon Falavigna and Prevalence Estimates Reviews—Systematic Review Methodology Group (PERSyst)},
journal = {Research Synthesis Methods},
year = {2022},
volume = {13},
number = {3},
pages = {363--367},
doi = {10.1002/jrsm.1547},
url = {https://doi.org/10.1002/jrsm.1547}
}TY - JOUR AU - Migliavaca, Celina Borges AU - Stein, Cinara AU - Colpani, Verônica AU - Barker, Timothy Hugh AU - Ziegelmann, Patrícia Klarmann AU - Munn, Zachary AU - Falavigna, Maicon AU - Prevalence Estimates Reviews—Systematic Review Methodology Group (PERSyst) TI - Meta‐analysis of prevalence: I 2 statistic and how to deal with heterogeneity JO - Research Synthesis Methods VL - 13 IS - 3 SP - 363 EP - 367 PY - 2022 DA - 2022/01/28 DO - 10.1002/jrsm.1547 UR - https://doi.org/10.1002/jrsm.1547 ER -
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