BMJ Open · 2020 · 35 citations · 32 references
Both tools performed well for systematically assessing studies that report on outcome prevalence and provided similar discrimination between studies for risk of bias. This convergent validity supports use of both tools for the purpose of assessing risk of bias and selecting studies that report prevalence for inclusion in economic analyses.
32
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
Jonathan A C Sterne, Miguel A. Hernán, Barnaby C Reeves et al. · BMJ · 2016 · 17.4K citations · Full text
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement
Don Husereau, Michael Drummond, Stavros Petrou et al. · BMJ · 2013 · 1.7K citations · Full text
Matthias Egger, Peter Jüni, C. J. Bartlett et al. · Health Technology Assessment · 2003 · 1.2K citations · Full text
Family Medicine, Systematic Literature Study, Health Impact Assessment +24