Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study

By L. Wood, Matthias Egger, L. Gluud, K. F. Schulz, Peter Jüni, Douglas G. Altman, C. Gluud, Richard M. Martin, A. J. G. Wood, J. Sterne. British medical journal, 2008

2,397 citations recorded by the source corpus.

Subfields: Statistics and Probability

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Citations in the corpus

GRADE guidelines: 4. Rating the quality of evidence--study limitations (risk of bias). (2011, background): “Recent evidence suggests that bias associated with lack of blinding and lack of concealmentmay begreater in trialswith subjective outcomes [5].”
Omega-3 fatty acids for the primary and secondary prevention of cardiovascular disease. (2018, background): “Wood 2008 Wood L, Egger M, Gluud LL, Schulz K, Jüni P, Altman DG, et al. Empirical evidence of bias in treatment eCect estimates in controlled trials with diCerent interventions and outcomes: meta-epidemiological study.”
Influence of Reported Study Design Characteristics on Intervention Effect Estimates From Randomized, Controlled Trials (2012, methodology): “Our finding that the influence of these latter 2 study design characteristics is driven primarily by trials with subjectively assessed outcomes was unexpected, although it is consistent with previous work (9).”
Trust in the health care professional and health outcome: A meta-analysis (2017, result): “However, since meta-analyses described an enhanced risk of bias with regard to self-rated subjective outcomes, possibly due to inadequate allocation concealment and inappropriate blinding [40, 41], the particularly large associations in our analyses may result—at least partly— from an upward bias.”
Transcatheter Versus Surgical Aortic Valve Replacement in Patients With Severe Aortic Valve Stenosis: 1-Year Results From the All-Comers NOTION Randomized Clinical Trial. (2015, methodology): “Several outcomes were assessed unblinded as to procedure; accordingly, assessments of all outcomes apart from death could be subject to bias (29,30).”
Effects of psycho-oncologic interventions on emotional distress and quality of life in adult patients with cancer: systematic review and meta-analysis. (2013, background): “Although lack of allocation concealment and blinding may be associated with exaggerated effect estimates for subjective outcomes, the degree of bias seems to be rather limited.(59) Incomplete follow-up data poses another problem, although this may be caused by the unfavorable prognoses inherent in m”