Year: 2022
Type: article
Abstract: OBJECTIVE: aims to facilitate communication of multiple outcomes from NMAs to patients and clinicians. METHODS: We developed this tool following the recommendations on the communication of benefit-risk information from the available literature. We collected and implemented feedback from researchers, statisticians, methodologists, clinicians and people with lived experience of physical and mental health issues. RESULTS: , which graphically presents absolute estimates and relative performance of competing interventions against a common comparator for several outcomes of interest. We use two alternative colour schemes to highlight either the strength of statistical evidence or the confidence in the evidence. Confidence in the evidence is evaluated across six domains (within-study bias, reporting bias, indirectness, imprecision, heterogeneity and incoherence) using the Confidence in Network Meta-Analysis (CINeMA) system. CONCLUSIONS: allows reporting of multiple outcomes from NMAs, with colourings appropriate to inform credibility of the presented evidence.
Source: Evidence-Based Mental Health
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Awards: CHRONOS: Deep representations of chronological events in electronic health records for real-time clinical decision support in secondary mental health care., Choosing the right antidepressant for depressive disorder, G3835854007, What works best? Methods for ranking competing treatments in network meta-analysis, G6662199878, Traitement digital du signal et architecture de processeurs numériques spécialisés ('Image proces- sing' et 'Speech processing')., Predicting the real-world effectiveness and safety of medical interventions
OpenAlex ID: W4281640413