Multivariate Network Meta-Analysis of Survival Function Parameters

Autor/inn/en	Cope, Shannon; Chan, Keith; Jansen, Jeroen P.
Titel	Multivariate Network Meta-Analysis of Survival Function Parameters
Quelle	In: Research Synthesis Methods, 11 (2020) 3, S.443-456 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Cope, Shannon)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1405
Schlagwörter	Multivariate Analysis; Meta Analysis; Network Analysis; Models; Randomized Controlled Trials; Evidence; Statistical Distributions; Intervention; Time; Patients; Cancer + Suchen Sie Ihr Suchwort? Multivariate Analyse; Meta-analysis; Metaanalyse; Netzplantechnik; Analogiemodell; Evidenz; Wahrscheinlichkeitsverteilung; Zeit; Patient; Carcinoma; Karzinom; Krebs (med); Krebserkrankung
Abstract	Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for individual event times. The aim of this article is to overcome the limitations and present an alternative implementation of these flexible NMA models for time-to-event outcomes with a two-step approach. Methods: First, for each arm of every randomised controlled trial (RCT) connected in the network of evidence, reconstructed patient data are fit to alternative survival distributions, including the exponential, Weibull, Gompertz, log-normal, and log-logistic. Next, for each distribution, its scale and shape parameters are included in a multivariate NMA to obtain time-varying estimates of relative treatment effects between competing interventions. Results: An illustrative analysis is presented for a network of RCTs evaluating multiple interventions for advanced melanoma regarding overall survival. Alternative survival distributions were compared based on model fit criteria. Based on the log-logistic distribution, the difference in shape and scale parameters for each treatment versus dacarbazine (DTIC) was identified and the corresponding log hazard and survival curves were presented. Conclusions: The presented two-step NMA approach provides an evidence synthesis framework for time-to-event outcomes grounded in standard practice of parametric survival analysis. The method allows for a more transparent and efficient model selection process. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01