BMJ 2008;336:995-998 (3 May), doi:10.1136/bmj.39490.551019.BE
Analysis
Rating quality of evidence and strength of recommendations
What is "quality of evidence" and why is it important to clinicians?
Gordon H Guyatt, professor1,
Andrew D Oxman, researcher2,
Regina Kunz, associate professor3,
Gunn E Vist, researcher2,
Yngve Falck-Ytter, assistant professor4,
Holger J Schünemann, associate professor5, for the GRADE Working Group
1 Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada L8N 3Z5,
2 Norwegian Knowledge Centre for the Health Services, PO Box 7004, St Olavs plass, 0130 Oslo, Norway,
3 Basel Institute of Clinical Epidemiology, University Hospital Basel, Hebelstrasse 10, 4031 Basel, Switzerland,
4 Division of Gastroenterology, Case Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA,
5 Department of Epidemiology, CLARITY Research Group, Italian National Cancer Institute Regina Elena, Rome, Italy
Correspondence to: G H Guyatt, CLARITY Research Group, Department of Clinical Epidemiology & Biostatistics, Room 2C12, 1200 Main Street West Hamilton, ON, Canada L8N 3Z5 guyatt@mcmaster.ca
Guideline developers use a bewildering variety of systems to rate the quality of the evidence underlying their recommendations. Some are facile, some confused, and others sophisticated but complex
| The first 150 words of the full text of this article appear below. |
In 2004 the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group presented its initial proposal for patient management.1 In this second of a series of five articles focusing on the GRADE approach to developing and presenting recommendations we show how GRADE has built on previous systems to create a highly structured, transparent, and informative system for rating quality of evidence.
- A guidelines formulation should include a clear question with specification of all outcomes of importance to patients
- GRADE offers four levels of evidence quality: high, moderate, low, and very low
- Randomised trials begin as high quality evidence and observational studies as low quality evidence
- Quality may be downgraded as a result of limitations in study design or implementation, imprecision of estimates (wide confidence intervals), variability in results, indirectness of evidence, or publication bias
- Quality may be upgraded because of a very large magnitude of effect, a dose-response gradient, . . . [Full text of this article]
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