Review Bias in Clinical Intervention Research

Research on bias in clinical trials may help identify some of the reasons why investigators sometimes reach the wrong conclusions about intervention effects. Several quality components for the assessment of bias control have been suggested, but although they seem intrinsically valid, empirical evidence is needed to evaluate their effects on the extent and direction of bias. This narrative review summarizes the findings of methodological studies on the influence of bias in clinical trials. A number of methodological studies suggest that lack of adequate randomization in published trial reports may be associated with more positive estimates of intervention effects. The influence of double-blinding and follow-up is less clear. Several studies have found a significant association between funding sources and pro-industry conclusions. However, the methodological studies also show that bias is difficult to detect and appraise. The extent of bias in individual trials is unpredictable. A-priori exclusion of trials with certain char-acteristics is not recommended. Appraising bias control in individual trials is necessary to avoid making incorrect conclusions about intervention effects. bias (epidemiology); evidence-based medicine; meta-analysis; publication bias; selection bias Abbreviations: CI, confidence interval; ROR, relative odds ratio; SSRIs, selective serotonin reuptake inhibitors. Bias in clinical trials may be described as systematic errors that encourage one outcome over others. The poten