5.2.2. Moving from individual risk of bias to a judgment about rating down for risk of bias across a body of evidence

Author(s): 
Jo.Robays
Author(s): 
Joan.Vlayen

Moving from risk of bias criteria for each individual study to a judgment about rating down for risk of bias across a group of studies addressing a particular outcome presents challenges. GRADE suggests the following principles:



  • First, in deciding on the overall quality of evidence, one does not average across studies (for instance if some studies have no serious limitations, some serious limitations, and some very serious limitations, one does not automatically rate quality down by one level because of an average rating of serious limitations). Rather, judicious consideration of the contribution of each study, with a general guide to focus on the high-quality studies, is warranted.

  • Second, this judicious consideration requires evaluating the extent to which each trial contributes toward the estimate of magnitude of effect. This contribution will usually reflect study sample size and number of outcome events: larger trials with many events will contribute more, much larger trials with many more events will contribute much more.

  • Third, one should be conservative in the judgment of rating down. That is, one should be confident that there is substantial risk of bias across most of the body of available evidence before one rates down for risk of bias.

  • Fourth, the risk of bias should be considered in the context of other limitations. If, for instance, reviewers find themselves in a close-call situation with respect to two quality issues (risk of bias and, e.g. precision), we suggest rating down for at least one of the two.

  • Fifth, notwithstanding the first four principles, reviewers will face close-call situations. They should both acknowledge that they are in such a situation, make it explicit why they think this is the case, and make the reasons for their ultimate judgment apparent.

This approach is summarized in the table below.