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August 4, 2022Journal of Clinical Epidemiology280 citationsOpen Access

GRADE Guidance 34: update on rating imprecision using a minimally contextualized approach

LZLinan ZengRBRomina Brignardello‐PetersenMHMonica Hultcrantz

Key Points

  • This study aims to update guidance on rating imprecision in the GRADE framework, specifically addressing when to rate down for imprecision.
  • Developed through iterative discussions within the GRADE Working Group.
  • Focused on aligning imprecision criteria for systematic reviews and guidelines.
  • Utilized the CI approach for assessing imprecision thresholds.
  • GRADE advises rating down two or three levels for imprecision when the confidence interval crosses key thresholds.
  • If the confidence interval does not cross the thresholds but reflects a large effect, optimal information size should be applied.
  • Consider rating down for imprecision if the sample size is significantly less than the optimal information size.

Abstract

OBJECTIVES: The aim of this study is to provide updated guidance on when The Grading of Recommendations Assessment, Development and Evaluation (GRADE) users should consider rating down more than one level for imprecision using a minimally contextualized approach. STUDY DESIGN AND SETTING: Based on the first GRADE guidance addressing imprecision rating in 2011, a project group within the GRADE Working Group conducted iterative discussions and presentations at GRADE Working Group meetings to produce this guidance. RESULTS: GRADE suggests aligning imprecision criterion for systematic reviews and guidelines using the approach that relies on thresholds and confidence intervals (CI) of absolute effects as a primary criterion for imprecision rating (i.e., CI approach). Based on the CI approach, when a CI appreciably crosses the threshold(s) of interest, one should consider rating down two or three levels. When the CI does not cross the threshold(s) and the relative effect is large, one should implement the optimal information size (OIS) approach. If the sample size of the meta-analysis is far less than the OIS, one should consider rating down more than one level for imprecision. CONCLUSION: GRADE provides updated guidance for imprecision rating in a minimally contextualized approach, with a focus on the circumstances in which one should seriously consider rating down two or three levels for imprecision.

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Cite This Study

Zeng et al. (2022) studied this question.

synapsesocial.com/papers/69f51117e866e916b47253bahttps://doi.org/10.1016/j.jclinepi.2022.07.014
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