Literature DB >> 26342443

The predictive validity of quality of evidence grades for the stability of effect estimates was low: a meta-epidemiological study.

Gerald Gartlehner1, Andreea Dobrescu2, Tammeka Swinson Evans3, Carla Bann3, Karen A Robinson4, James Reston5, Kylie Thaler6, Andrea Skelly7, Anna Glechner6, Kimberly Peterson8, Christina Kien6, Kathleen N Lohr3.   

Abstract

OBJECTIVE: To determine the predictive validity of the U.S. Evidence-based Practice Center (EPC) approach to GRADE (Grading of Recommendations Assessment, Development and Evaluation). STUDY DESIGN AND
SETTING: Based on Cochrane reports with outcomes graded as high quality of evidence (QOE), we prepared 160 documents which represented different levels of QOE. Professional systematic reviewers dually graded the QOE. For each document, we determined whether estimates were concordant with high QOE estimates of the Cochrane reports. We compared the observed proportion of concordant estimates with the expected proportion from an international survey. To determine the predictive validity, we used the Hosmer-Lemeshow test to assess calibration and the C (concordance) index to assess discrimination.
RESULTS: The predictive validity of the EPC approach to GRADE was limited. Estimates graded as high QOE were less likely, estimates graded as low or insufficient QOE more likely to remain stable than expected. The EPC approach to GRADE could not reliably predict the likelihood that individual bodies of evidence remain stable as new evidence becomes available. C-indices ranged between 0.56 (95% CI, 0.47 to 0.66) and 0.58 (95% CI, 0.50 to 0.67) indicating a low discriminatory ability.
CONCLUSION: The limited predictive validity of the EPC approach to GRADE seems to reflect a mismatch between expected and observed changes in treatment effects as bodies of evidence advance from insufficient to high QOE.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GRADE; Methods study; Predictive validity; Quality of evidence; Stability of effects; Strength of evidence; Systematic reviews

Mesh:

Year:  2015        PMID: 26342443     DOI: 10.1016/j.jclinepi.2015.08.018

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

1.  A Comparative Analysis of Pulmonary and Critical Care Medicine Guideline Development Methodologies.

Authors:  Noah C Schoenberg; Alan F Barker; John Bernardo; Robin R Deterding; Jerrold J Ellner; Dean R Hess; Neil R MacIntyre; Fernando J Martinez; Kevin C Wilson
Journal:  Am J Respir Crit Care Med       Date:  2017-09-01       Impact factor: 21.405

2.  Reply to Morice et al.: Developing Clinical Guidelines.

Authors:  Noah C Schoenberg; Kevin C Wilson
Journal:  Am J Respir Crit Care Med       Date:  2018-03-15       Impact factor: 21.405

  2 in total

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