New applications for individual participant data meta-analyses of randomized trials

被引:0
|
作者
Lueza, Beranger [1 ,2 ,3 ]
Lacas, Benjamin [1 ,2 ,3 ]
Pignon, Jean-Pierre [1 ,2 ,3 ]
Paoletti, Xavier [1 ,2 ,3 ]
机构
[1] Univ Paris Saclay, Gustave Roussy, Serv Biostat & Epidemiol, F-94805 Villejuif, France
[2] Univ Paris Sud, Univ Paris Saclay, Oncostat CESP, INSERM,UVSQ, F-94085 Villejuif, France
[3] Gustave Roussy, Plateforme Ligue Natl Canc Metaanal Oncol, F-94085 Villejuif, France
关键词
Economic evaluation; Survival benefit; Biomarkers; Meta-analysis; Data sharing; Randomized trials; MEAN SURVIVAL-TIME; CELL LUNG-CANCER; ISPOR TASK-FORCE; PATIENT DATA; HAZARD RATIO; NETWORK METAANALYSES; SYSTEMATIC REVIEWS; COST-EFFECTIVENESS; CLINICAL-TRIALS; DNA-REPAIR;
D O I
10.1016/j.bulcan.2016.10.024
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Meta-analyses of randomized trials using individual-participant data, which represent the highest level of evidence for the evaluation of a treatment effect, are now used in different contexts in clinical research. This article aims at reviewing some of these new applications. Metaanalyses are increasingly used in economic evaluation, which implies new measure outcomes of the treatment effect, as well as in biomarkers evaluations thanks to their higher statistical power and the possibility to validate findings on independent data. This article also considers the perspectives opened up by new data sources, such as randomized trials registers, and data sharing policies.
引用
收藏
页码:139 / 146
页数:8
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