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How are systematic reviews of prevalence conducted? A methodological study

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References

2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation43,318 cited
2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration28,094 cited
2007The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies22,917 cited
2007The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies17,756 cited
2014The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses17,633 cited
2009The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration17,627 cited
2018Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies3,196 cited
2015Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data3,116 cited
2016Plea for routinely presenting prediction intervals in meta-analysis2,247 cited
2013Meta-analysis of prevalence2,159 cited
2017Basics of meta‐analysis: I 2 is not an absolute measure of heterogeneity1,841 cited
2014The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence1,475 cited

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2008

Undue reliance on I 2 in assessing heterogeneity may mislead

1,286 cited

2018The development of software to support multiple systematic review types974 cited

2015Use of GRADE for assessment of evidence about prognosis: rating confidence in estimates of event rates in broad categories of patients877 cited

2019Seriously misleading results using inverse of Freeman‐Tukey double arcsine transformation in meta‐analysis of single proportions622 cited

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2026Understanding heterogeneity in prevalence meta-analyses: from structural incompatibility to statistical variation15 cited