Document Detail


Assessing bias in studies of prognostic factors.
MedLine Citation:
PMID:  23420236     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Previous work has identified 6 important areas to consider when evaluating validity and bias in studies of prognostic factors: participation, attrition, prognostic factor measurement, confounding measurement and account, outcome measurement, and analysis and reporting. This article describes the Quality In Prognosis Studies tool, which includes questions related to these areas that can inform judgments of risk of bias in prognostic research.A working group comprising epidemiologists, statisticians, and clinicians developed the tool as they considered prognosis studies of low back pain. Forty-three groups reviewing studies addressing prognosis in other topic areas used the tool and provided feedback. Most reviewers (74%) reported that reaching consensus on judgments was easy. Median completion time per study was 20 minutes; interrater agreement (κ statistic) reported by 9 review teams varied from 0.56 to 0.82 (median, 0.75). Some reviewers reported challenges making judgments across prompting items, which were addressed by providing comprehensive guidance and examples. The refined Quality In Prognosis Studies tool may be useful to assess the risk of bias in studies of prognostic factors.
Authors:
Jill A Hayden; Danielle A van der Windt; Jennifer L Cartwright; Pierre Côté; Claire Bombardier
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Annals of internal medicine     Volume:  158     ISSN:  1539-3704     ISO Abbreviation:  Ann. Intern. Med.     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-02-19     Completed Date:  2013-04-11     Revised Date:  2014-02-20    
Medline Journal Info:
Nlm Unique ID:  0372351     Medline TA:  Ann Intern Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  280-6     Citation Subset:  AIM; IM    
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MeSH Terms
Descriptor/Qualifier:
Bias (Epidemiology)*
Humans
Low Back Pain / therapy
Prognosis*
Research Design*
Review Literature as Topic*
Grant Support
ID/Acronym/Agency:
G0902393//Medical Research Council

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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