Missing binary data extraction challenges from Cochrane reviews in mental health and Campbell reviews with implications for empirical research

Ref ID 658
First Author L. M. Spineli
Year Of Publishing 2017
URL https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jrsm.1268?download=true
Keywords Cochrane
Missing data
General medical
Problem(s) Failure to address missing outcome data in analyses
Data extraction errors and double counting
Number of systematic reviews included 113
Summary of Findings More than half of 113 eligible Cochrane meta‐analyses were evaluated as “unclearly” extracted (53%); 42 (37%) were “unacceptably” extracted and only 11 (10%) were “acceptably” extracted. The direct implication of “unclear” extraction is unnecessary inflation in uncertainty of estimated odds ratio irrespective of method used to address missingness.
Did the article find that the problem(s) led to qualitative changes in interpretation of the results? No
Are the methods of the article described in enough detail to replicate the study? No