Hróbjartsson, Asbjørn6; Thomsen, Ann Sofia Skou4; Emanuelsson, Frida4; Tendal, Britta7; Hilden, Jørgen8; Boutron, Isabelle4; Ravaud, Philippe4; Brorson, Stig9
1 Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, Københavns Universitet2 Department of Clinical Medicine, Department of Clinical Medicine, Faculty of Health and Medical Sciences, Københavns Universitet3 Department of Pharmacology Pharmacotherapy, Faculty of Pharmaceutical Sciences, Københavns Universitet4 unknown5 Department of Human Nutrition, Department of Human Nutrition, Faculty of Life Sciences, Københavns Universitet6 Department of Pharmacology Pharmacotherapy, Faculty of Pharmaceutical Sciences, Københavns Universitet7 Department of Human Nutrition, Department of Human Nutrition, Faculty of Life Sciences, Københavns Universitet8 Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, Københavns Universitet9 Department of Clinical Medicine, Department of Clinical Medicine, Faculty of Health and Medical Sciences, Københavns Universitet
a systematic review of trials with both blinded and nonblinded assessors
BACKGROUND: Clinical trials are commonly done without blinded outcome assessors despite the risk of bias. We wanted to evaluate the effect of nonblinded outcome assessment on estimated effects in randomized clinical trials with outcomes that involved subjective measurement scales. METHODS: We conducted a systematic review of randomized clinical trials with both blinded and nonblinded assessment of the same measurement scale outcome. We searched PubMed, EMBASE, PsycINFO, CINAHL, Cochrane Central Register of Controlled Trials, HighWire Press and Google Scholar for relevant studies. Two investigators agreed on the inclusion of trials and the outcome scale. For each trial, we calculated the difference in effect size (i.e., standardized mean difference between nonblinded and blinded assessments). A difference in effect size of less than 0 suggested that nonblinded assessors generated more optimistic estimates of effect. We pooled the differences in effect size using inverse variance random-effects meta-analysis and used metaregression to identify potential reasons for variation. RESULTS: We included 24 trials in our review. The main meta-analysis included 16 trials (involving 2854 patients) with subjective outcomes. The estimated treatment effect was more beneficial when based on nonblinded assessors (pooled difference in effect size -0.23 [95% confidence interval (CI) -0.40 to -0.06]). In relative terms, nonblinded assessors exaggerated the pooled effect size by 68% (95% CI 14% to 230%). Heterogeneity was moderate (I(2) = 46%, p = 0.02) and unexplained by metaregression. INTERPRETATION: We provide empirical evidence for observer bias in randomized clinical trials with subjective measurement scale outcomes. A failure to blind assessors of outcomes in such trials results in a high risk of substantial bias.
C M a J, 2013, Vol 185, Issue 4
Double-Blind Method; Observer Variation; Outcome Assessment (Health Care); Randomized Controlled Trials as Topic; Journal Article; Research Support, Non-U.S. Gov't; Review