Article

Observer bias in randomized clinical trials with binary outcomes: Systematic review of trials with both blinded and non-blinded outcome assessors

Nordic Cochrane Centre, Rigshospitalet Department 3343, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark.
BMJ (online) (Impact Factor: 16.38). 02/2012; 344(3):e1119. DOI: 10.1093/ije/dyt270
Source: PubMed

ABSTRACT Background: We wanted to evaluate the impact of nonblinded outcome assessors on estimated treatment effects in time-to-event trials. Methods: Systematic review of randomized clinical trials with both blinded and nonblinded assessors of the same time-to-event outcome. Two authors agreed on inclusion of trials and outcomes. We compared hazard ratios based on nonblinded and blinded assessments. A ratio of hazard ratios (RHR) < 1 indicated that nonblinded assessors generated more optimistic effect estimates. We pooled RHRs with inverse variance random-effects meta-analysis. Results: We included 18 trials. Eleven trials (1969 patients) with subjective outcomes provided hazard ratios, RHR 0.88 (0.69 to 1.12), (I-2 = 44%, P = 0.06), but unconditional pooling was problematic because of qualitative heterogeneity. Four atypical cytomegalovirus retinitis trials compared experimental oral administration with control intravenous administration of the same drug, resulting in bias favouring the control intervention, RHR 1.33 (0.98 to 1.82). Seven trials of cytomegalovirus retinitis, tibial fracture and multiple sclerosis compared experimental interventions with standard control interventions, e.g. placebo, no-treatment or active control, resulting in bias favouring the experimental intervention, RHR 0.73 (0.57 to 0.93), indicating an average exaggeration of nonblinded hazard ratios by 27% (7% to 43%). Conclusions: Lack of blinded outcome assessors in randomized trials with subjective time-to-event outcomes causes high risk of observer bias. Nonblinded outcome assessors typically favour the experimental intervention, exaggerating the hazard ratio by an average of approximately 27%; but in special situations, nonblinded outcome assessors favour control interventions, inducing a comparable degree of observer bias in the reversed direction.

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Available from: Ann Sofia Skou Thomsen, May 19, 2015
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    • "When intraand inter-individual variability are low, and sample size relatively small (under 100 in the Gensburger example cited below), blinding may have little effect on study outcome (Gensburger et al., 2012). However, it has been shown that blinding can affect outcome, even with binary outcomes as determined from a meta-analysis of a large population sample (over 4000 in the example cited; Hróbjartsson et al., 2012). There is, additionally, the famous case of Benveniste who published a paper in Nature (which was never retracted) that identified an apparent activity of antibodies at a 'concentration' below that necessary to provide a single molecule in the solutions used in the experiment (Davenas et al., 1988). "
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    ABSTRACT: This Editorial is part of a series. To view the other Editorials in this series, visit: http://onlinelibrary.wiley.com/doi/10.1111/bph.12956/abstract; http://onlinelibrary.wiley.com/doi/10.1111/bph.12954/abstract; http://onlinelibrary.wiley.com/doi/10.1111/bph.12955/abstract and http://onlinelibrary.wiley.com/doi/10.1111/bph.13112/abstract. © 2015 The British Pharmacological Society.
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    • "We summarized the impact of nonblinded outcome assessment as the ratio of odds ratios (ROR 5 OR nonblind /OR blind ). The standard error of ROR was calculated as the square root of the sum of the variances of the two ORs [16] [23]. An ROR !1 indicates that nonblinded assessors exaggerate the benefit of the intervention. "
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