Meta-analysis of predictive models to assess the clinical validity and utility for patient-centered medical decision making: application to the CAncer of the Prostate Risk Assessment (CAPRA)


The Cancer of the Prostate Risk Assessment (CAPRA) was designed and validated several times to predict the biochemical recurrence-free survival after a radical prostatectomy. Our objective was to study the usefulness of the CAPRA score for stratified medicine.


We proposed a meta-analysis based a literature search using MEDLINE. Pooled survival curves per CAPRA-based strata were estimated by the distribution-free approach with random effects proposed by Combescure, Foucher and Jackson. The discrimination capacities at 5-years post-RP were evaluated by using time-dependent summary ROC (SROCt) curves as proposed by Combescure, Daurès and Foucher.

Data extraction

The previous estimations were based on the following data. The survival probabilities were extracted from a digitalized picture by using the R packages ReadImages and digitize. Many papers do not provide the number of at-risk patients over the time, so we applied the method proposed by Parmar et al. in order to obtain estimations. The obtained data van be downloaded here

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Le laboratoire SPHERE (methodS for Patients-centered outcomes and HEalth REsearch, INSERM UMR 1246, Université de NantesUniversité de Tours) et la société IDBC (groupe A2com) ont décidé de créer ensemble le Laboratoire Commun RISCA (Research in Informatics and Statistics for Cohort-based Analyses)