A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis

We present a four-step approach to rate the quality of evidence in each of the direct, indirect, and Network meta-analysis estimates based on methods developed by the GRADE working group

M. A. Puhan

2014

Scholarcy highlights

  • Network meta-analysis that simultaneously addresses the comparative effectiveness and/or safety of multiple interventions through combining direct and indirect estimates of effect is rapidly gaining popularity and influence. NMA approaches appear attractive, application of their results requires understanding the quality of the evidence
  • The GRADE four-step approach for rating the quality of treatment effect estimates from NMA
  • Rating the quality of treatment effect estimates from NMA requires best estimates from direct, indirect, and NMA evidence, as well as quality ratings for the direct and indirect comparisons
  • We propose the following four steps to assess the quality of treatment effect estimates from NMA: 1
  • The four-step approach of the GRADE Working Group fills a gap by providing guidance to determine quality ratings for each estimate of effect in a NMA
  • If authors do not present these estimates, scepticism regarding any inferences from the NMA is warranted

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