Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research.

BACKGROUND: Real-world data (RWD) related to the health status and care of cancer patients reflect the ongoing medical practice, and their analysis yields essential real-world evidence. Advanced information technologies are vital for their collection, qualification, and reuse in research projects. METHODS: UNICANCER, the French federation of comprehensive cancer centres, has innovated a unique research network: Consore. This potent federated tool enables the analysis of data from millions of cancer patients across eleven French hospitals. RESULTS: Currently operational within eleven French cancer centres, Consore employs natural language processing to structure the therapeutic management data of approximately 1.3 million cancer patients. These data originate from their electronic medical records, encompassing about 65 million medical records. Thanks to the structured data, which are harmonized within a common data model, and its federated search tool, Consore can create patient cohorts based on patient or tumor characteristics, and treatment modalities. This ability to derive larger cohorts is particularly attractive when studying rare cancers. CONCLUSIONS: Consore serves as a tremendous data mining instrument that propels French cancer centres into the big data era. With its federated technical architecture and unique shared data model, Consore facilitates compliance with regulations and acceleration of cancer research projects.

Palliative care delivery according to age in 12,000 women with metastatic breast cancer: Analysis in the multicentre ESME-MBC cohort 2008-2016.

INTRODUCTION: Patients with metastatic breast cancer (MBC) often require inpatient palliative care (IPC). However, mounting evidence suggests age-related disparities in palliative care delivery. This study aimed to assess the cumulative incidence function (CIF) of IPC delivery, as well as the influence of age. METHODS: The national ESME (Epidemio-Strategy-Medical-Economical)-MBC cohort includes consecutive MBC patients treated in 18 French Comprehensive Cancer Centres. ICD-10 palliative care coding was used for IPC identification. RESULTS: Our analysis included 12,375 patients, 5093 (41.2%) of whom were aged 65 or over. The median follow-up was 41.5 months (95% confidence interval [CI], 40.5-42.5). The CIF of IPC was 10.3% (95% CI, 10.2-10.4) and 24.8% (95% CI, 24.7-24.8) at 2 and 8 years, respectively. At 2 years, among triple-negative patients, young patients (<65 yo) had a higher CIF of IPC than older patients after adjusting for cancer characteristics, centre and period (65+/<65: ß = -0.05; 95% CI, -0.08 to -0.01). Among other tumour sub-types, older patients received short-term IPC more frequently than young patients (65+/<65: ß = 0.02; 95% CI, 0.01 to 0.03). At 8 years, outside large centres, IPC was delivered less frequently to older patients adjusted to cancer characteristics and period (65+/<65: ß = -0.03; 95% CI, -0.06 to -0.01). CONCLUSION: We found a relatively low CIF of IPC and that age influenced IPC delivery. Young triple-negative and older non-triple-negative patients needed more short-term IPCs. Older patients diagnosed outside large centres received less long-term IPC. These findings highlight the need for a wider implementation of IPC facilities and for more age-specific interventions.