GRADE suggests that examination of 95% confidence intervals (CIs) provides the optimal
primary approach to decisions regarding imprecision. For practice guidelines, rating down …

In the GRADE approach, randomized trials start as high-quality evidence and observational
studies as low-quality evidence, but both can be rated down if most of the relevant evidence …

In the first article in JCE's series presenting guidance for the application of grades of
recommendation, assessment, development and evaluation (GRADE) methodology [1], we …

Objective To provide practical principles and examples to help GRADE users make optimal
choices regarding their ratings of certainty of evidence using a minimally or partially …

GRADE requires guideline developers to make an overall rating of confidence in estimates
of effect (quality of evidence—high, moderate, low, or very low) for each important or critical …

In the GRADE approach, randomized trials start as high-quality evidence and observational
studies as low-quality evidence, but both can be rated down if a body of evidence is …

This article introduces the approach of GRADE to rating quality of evidence. GRADE
specifies four categories—high, moderate, low, and very low—that are applied to a body of …

Presenting continuous outcomes in Summary of Findings tables presents particular
challenges to interpretation. When each study uses the same outcome measure, and the …

Direct evidence comes from research that directly compares the interventions in which we
are interested when applied to the populations in which we are interested and measures …

OBJECTIVES: In this article, we describe how to include considerations about resource
utilization when making recommendations according to the Grading of Recommendations …