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      GRADE guidelines: 1. Introduction—GRADE evidence profiles and summary of findings tables

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          Abstract

          This article is the first of a series providing guidance for use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system of rating quality of evidence and grading strength of recommendations in systematic reviews, health technology assessments (HTAs), and clinical practice guidelines addressing alternative management options. The GRADE process begins with asking an explicit question, including specification of all important outcomes. After the evidence is collected and summarized, GRADE provides explicit criteria for rating the quality of evidence that include study design, risk of bias, imprecision, inconsistency, indirectness, and magnitude of effect. Recommendations are characterized as strong or weak (alternative terms conditional or discretionary) according to the quality of the supporting evidence and the balance between desirable and undesirable consequences of the alternative management options. GRADE suggests summarizing evidence in succinct, transparent, and informative summary of findings tables that show the quality of evidence and the magnitude of relative and absolute effects for each important outcome and/or as evidence profiles that provide, in addition, detailed information about the reason for the quality of evidence rating. Subsequent articles in this series will address GRADE's approach to formulating questions, assessing quality of evidence, and developing recommendations. Copyright © 2011 Elsevier Inc. All rights reserved.

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          Author and article information

          Journal
          Journal of Clinical Epidemiology
          Journal of Clinical Epidemiology
          Elsevier BV
          08954356
          April 2011
          April 2011
          : 64
          : 4
          : 383-394
          Article
          10.1016/j.jclinepi.2010.04.026
          21195583
          ce6a092f-dca4-43f3-adb9-990ea2d200dd
          © 2011

          https://www.elsevier.com/tdm/userlicense/1.0/

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