EVALUATING THE QUALITY OF EVIDENCE FROM A NETWORK META-ANALYSIS
Author(s)
Higgins JP1, Del Giovane C2, Chaimani A3, Caldwell DM1, Salanti G3
1University of Bristol, Bristol, UK, 2University of Modena and Reggio Emilia, Modena, Italy, 3University of Ioannina School of Medicine, Ioannina, Greece
Systematic reviews that collate data about the relative effects of multiple interventions via network meta-analysis are highly informative for decision-making purposes. A network meta-analysis provides two types of findings for a specific outcome: the relative treatment effect for all pairwise comparisons, and a ranking of the treatments. It is important to consider the confidence with which these two types of results can enable clinicians, policy makers and patients to make informed decisions. We propose an approach to determining confidence in the output of a network meta-analysis, based on methodology developed by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group for pairwise meta-analyses. The suggested framework for evaluating a network meta-analysis acknowledges (i) the key role of indirect comparisons (ii) the contributions of each piece of direct evidence to the network meta-analysis estimates of effect size; (iii) the importance of the transitivity assumption to the validity of network meta-analysis; and (iv) the possibility of disagreement between direct evidence and indirect evidence. We illustrate the framework using a network meta-analysis of topical antibiotics without steroids for chronically discharging ears with underlying eardrum perforations.
Conference/Value in Health Info
2014-11, ISPOR Europe 2014, Amsterdam, The Netherlands
Value in Health, Vol. 17, No. 7 (November 2014)
Code
CP3
Topic
Methodological & Statistical Research
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference
Disease
Multiple Diseases