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GRADE guidelines: 15. Going from evidence to recommendation-determinants of a recommendation's direction and strength.

  • Jeffrey C. Andrews*
  • , Holger J. Schünemann
  • , Andrew D. Oxman
  • , Kevin Pottie
  • , Joerg J. Meerpohl
  • , Pablo Alonso Coello
  • , David Rind
  • , Victor M. Montori
  • , Juan Pablo Brito
  • , Susan Norris
  • , Mahmoud Elbarbary
  • , Piet Post
  • , Mona Nasser
  • , Vijay Shukla
  • , Roman Jaeschke
  • , Jan Brozek
  • , Ben Djulbegovic
  • , Gordon Guyatt
  • *Corresponding author for this work
  • Vanderbilt University
  • McMaster University
  • Norwegian Institute of Public Health
  • University of Ottawa
  • University of Freiburg
  • Autonomous University of Barcelona
  • Centro de Investigación Biomédica en Red
  • Beth Israel Deaconess Medical Center
  • Mayo Clinic Rochester, MN
  • Oregon Health and Science University
  • King Saud University
  • Post voor Zorg
  • Canadian Agency for Drugs and Technologies in Health
  • University of South Florida

Research output: Contribution to journalArticlepeer-review

Abstract

In the GRADE approach, the strength of a recommendation reflects the extent to which we can be confident that the composite desirable effects of a management strategy outweigh the composite undesirable effects. This article addresses GRADE's approach to determining the direction and strength of a recommendation. The GRADE describes the balance of desirable and undesirable outcomes of interest among alternative management strategies depending on four domains, namely estimates of effect for desirable and undesirable outcomes of interest, confidence in the estimates of effect, estimates of values and preferences, and resource use. Ultimately, guideline panels must use judgment in integrating these factors to make a strong or weak recommendation for or against an intervention.
Original languageEnglish
Pages (from-to)726-735
Number of pages0
JournalJ Clin Epidemiol
Volume66
Issue number7
DOIs
Publication statusPublished - Jul 2013

Keywords

  • Canada
  • Evidence-Based Medicine
  • Germany
  • Humans
  • Practice Guidelines as Topic
  • Pulmonary Disease
  • Chronic Obstructive
  • Quality Assurance
  • Health Care
  • Research Design
  • Risk Assessment
  • Treatment Failure
  • Treatment Outcome
  • United States

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