LabCom V1 - Laboratoires communs organismes de recherche publics – PME/ETI

Research in Informatics and Statistics for Cohort Analyses – RISCA

Submission summary

The common laboratory RISCA (Research in Informatics and Statistics for Cohort Analyses), which is a joint collaboration between the research team EA4275-SPHERE (methodS for Patients-centered outcomes and HEalth REsearch, University of Nantes) and the company IDBC-A2COM (Rennes), aims to develop Plug-Stat, an ergonomic and intuitive software enables to perform data extractions and statistical analyses for cohort-based studies. A cohort is a set of patients followed over time. A cohort helps to understand disease onset and evolution. It also helps to improve patient management and medical decision making.

Our project is based on a previous collaboration on the DIVAT cohort of kidney transplant patients (www.divat.fr). This software will i) avoid the time-consuming, costly and error prone steps required to transfer data to statistical software; and ii) avoid the use of statistical models which are inadequate for the studied pathology. The two partners also want to continue their collaboration by adapting this software to four new cohorts: ATLANREA (multicenter prospective cohort of patients admitted to intensive care) CordaBASE (mono-centric prospective cohort of patients with a bioprosthetic heart valve implant), EVALADD (prospective cohort of patients who just started to be followed for behavioral addictions), and EKiTE (multicenter cohort of European renal transplant patients).

The RISCA team enables the consortium to establish an R&D project for at least 5 years and to intensify their longstanding collaboration through public support (resulting in an acceleration of the innovation project and a financial risk reduction). The roadmap of the RISCA team has 3 main research goals. i) To develop an add-on to import data. Then, Plug-Stat will no longer be dependent on the manner of the data entry of each cohort, which will increase its commercial value. ii) To propose and develop statistical models well suited for each cohort. We will account for the methodological challenges related to competing risks, interval censoring, or confounding factors. iii) To integrate these statistical models in Plug-Stat via an ergonomic, intuitive and didactic interface for statisticians or clinical researchers.

This software Plug-Stat, which provides statistical methods to handle most of the methodological problems encountered in observational studies based on cohort data, will be promoted by IDBC-A2COM to support further growth in an area of the market related to the management and analysis of cohort data in which there is little competition.

Project coordinator

Monsieur Yohann Foucher (methodS for Patients-centered outcomes and HEalth REsearch - Université de Nantes)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

SPHERE - Université de Nantes methodS for Patients-centered outcomes and HEalth REsearch - Université de Nantes

Help of the ANR 300,000 euros
Beginning and duration of the scientific project: September 2016 - 36 Months

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