Document Detail

Adjusting for Partial Verification or Workup Bias in Meta-Analyses of Diagnostic Accuracy Studies.
MedLine Citation:
PMID:  22422923     Owner:  NLM     Status:  Publisher    
A key requirement in the design of diagnostic accuracy studies is that all study participants receive both the test under evaluation and the reference standard test. For a variety of practical and ethical reasons, sometimes only a proportion of patients receive the reference standard, which can bias the accuracy estimates. Numerous methods have been described for correcting this partial verification bias or workup bias in individual studies. In this article, the authors describe a Bayesian method for obtaining adjusted results from a diagnostic meta-analysis when partial verification or workup bias is present in a subset of the primary studies. The method corrects for verification bias without having to exclude primary studies with verification bias, thus preserving the main advantages of a meta-analysis: increased precision and better generalizability. The results of this method are compared with the existing methods for dealing with verification bias in diagnostic meta-analyses. For illustration, the authors use empirical data from a systematic review of studies of the accuracy of the immunohistochemistry test for diagnosis of human epidermal growth factor receptor 2 status in breast cancer patients.
Joris A H de Groot; Nandini Dendukuri; Kristel J M Janssen; Johannes B Reitsma; James Brophy; Lawrence Joseph; Patrick M M Bossuyt; Karel G M Moons
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-3-15
Journal Detail:
Title:  American journal of epidemiology     Volume:  -     ISSN:  1476-6256     ISO Abbreviation:  -     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-3-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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