A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis
By M. Puhan, Holger J. Schünemann, M. H. Murad, Tianjing Li, R. Brignardello-Petersen, J. Singh, A. Kessels, G. Guyatt. British medical journal, 2014
1,568 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/462ffa3018f85a537ffd88c8a1ea7c06d78249b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Statistics and Probability
Citations in the corpus
- Drug treatments for covid-19: living systematic review and network meta-analysis (2020, neutral): “5 27 28 Two people with experience in using GRADE rated each domain for each comparison separately and resolved discrepancies by consensus.”
- Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. (2018, methodology): “Thus, a reviewer who is reassured by a nonsignificant global test of incoherencemay riskmakingmisleading high ratings of certainty in network estimates [1].”
- Network Meta-Analysis: An Introduction for Clinicians (2016, methodology): “There are two proposed approaches for applying GRADE to NMA [33, 34].”