Skip to main navigation Skip to search Skip to main content

Rating the certainty in evidence in the absence of a single estimate of effect

  • Mayo Clinic Rochester, MN
  • University of Missouri at Kansas City
  • McMaster University
  • University of Minnesota Twin Cities

Research output: Contribution to journalArticlepeer-review

542 Scopus citations

Abstract

When studies measure or report outcomes differently, it may not be feasible to pool data across studies to generate a single effect estimate (ie, perform meta-analysis). Instead, only a narrative summary of the effect across different studies might be available. Regardless of whether a single pooled effect estimate is generated or whether data are summarised narratively, decision makers need to know the certainty in the evidence in order to make informed decisions. In this guide, we illustrate how to apply the constructs of the GRADE (Grading of Recommendation, Assessment, Development and Evaluation) approach to assess the certainty in evidence when a meta-analysis has not been performed and data were summarised narratively.

Original languageEnglish
Pages (from-to)85-87
Number of pages3
JournalEvidence-Based Medicine
Volume22
Issue number3
DOIs
StatePublished - Jun 2017

Keywords

  • Epidemiology
  • Statistics and Research methods

Fingerprint

Dive into the research topics of 'Rating the certainty in evidence in the absence of a single estimate of effect'. Together they form a unique fingerprint.

Cite this