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GRADE Guidance 24. Optimizing the integration of randomized and non-randomized studies of interventions in evidence syntheses and health guidelines

Cuello-Garcia, Carlos A, Santesso, Nancy, Morgan, Rebecca L, Verbeek, Jos, Thayer, Kris, Ansari, Mohammed T, Meerpohl, Joerg, Schwingschackl, Lukas, Katikireddi, Srinivasa Vittal, Brozek, Jan L, Reeves, Barnaby, Murad, Mohammad H, Falavigna, Maicon, Mustafa, Reem, Regidor, Deborah L, Alexander, Paul Elias, Garner, Paul ORCID: https://orcid.org/0000-0002-0607-6941, Akl, Elie A, Guyatt, Gordon and Schünemann, Holger J (2021) 'GRADE Guidance 24. Optimizing the integration of randomized and non-randomized studies of interventions in evidence syntheses and health guidelines'. Journal of Clinical Epidemiology. (In Press)

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Abstract

This is the 24th in the ongoing series of articles describing the GRADE approach for assessing the certainty of a body of evidence in systematic reviews and health technology assessments and how to move from evidence to recommendations in guidelines.
Guideline developers and authors of systematic reviews and other evidence syntheses use randomized controlled studies (RCTs) and non-randomized studies of interventions (NRSI) as sources of evidence for questions about health interventions. RCTs with low risk of bias are the most trustworthy source of evidence for estimating relative effects of interventions because of protection against confounding and other biases. However, in several instances, NRSI can still provide valuable information as complementary, sequential, or replacement evidence for RCTs. In this article we offer guidance on the decision regarding when to search for and include either or both types of studies in systematic reviews to inform health recommendations. This work aims to help methodologists in review teams, technology assessors, guideline panelists, and anyone conducting evidence syntheses using GRADE.

Item Type: Article
Subjects: QV Pharmacology > Drug Standardization. Pharmacognosy. Medicinal Plants > QV 771 Standardization and evaluation of drugs
WA Public Health > Statistics. Surveys > WA 950 Theory or methods of medical statistics. Epidemiologic methods
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI): https://doi.org/10.1016/j.jclinepi.2021.11.026
Depositing User: Christianne Esparza
Date Deposited: 24 Nov 2021 15:55
Last Modified: 10 Dec 2021 11:30
URI: https://archive.lstmed.ac.uk/id/eprint/19490

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