GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Clicks: 250
ID: 114470
2008
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
3.6
/100
12 views
12 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Guidelines are inconsistent in how they rate the quality of evidence and the strength of recommendations. This article explores the advantages of the GRADE system, which is increasingly being adopted by organisations worldwide
| Reference Key |
gh2008bmjgrade:
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Guyatt GH;Oxman AD;Vist GE;Kunz R;Falck-Ytter Y;Alonso-Coello P;Schünemann HJ; ;; |
| Journal | BMJ |
| Year | 2008 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
decision making
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
Health Care
pubmed abstract
nih
national institutes of health
national library of medicine
gordon h guyatt
andrew d oxman
grade working group
evidence-based medicine / standards
practice guidelines as topic / standards*
quality indicators
pmid:18436948
pmc2335261
doi:10.1136/bmj.39489.470347.ad
consensus
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.