R Houpert , J Veronique-Baudin, CHLOECAPA Team Group , C Joachim

O-113 Harnessing pre-existing data for public health research in the Caribbean: The CHLOECAPA Experience on prostate cancer and environmental exposure

Author(s): R Houpert , J Veronique-Baudin, CHLOECAPA Team Group , C Joachim
Type Of Study:
  • Quantitative
  • Observational Study
Country(ies) Of Focus:
  • OECS Countries
Year of Presentation: 2026

Abstract

Objective: To describe the distribution of incident cases and deaths of prostate cancer according to d’Amico risk groups, combined with data on Chlordecone soil contamination

Methods: We included socio-demographic data and clinical variables from all patients diagnosed with Prostate cancer (ICD10 : C61) between 2010 and 2019. The French guidelines recommend the use of the D’Amico risk group classification. Comparisons between incident cases or number of deaths according to Amico risk level and chlordecone soil contamination levels were made using parametric tests combined with chloropethe mapping.

Results: Between 2010 and 2019 a total of 5,868 new cases were diagnosed in Martinique. Most of the cases were located in the low-exposure area (40.5%) and the moderateexposure area (33.4%). Three main associations were found between incident cases and exposure zone: (1) low-risk cases increased significantly by 1.32 in the low-exposure area, (2) intermediate-risk cases decreased significantly by 15% in the high-exposure area and (3) regional/metastatic cases decreased significantly by 25% in the moderate exposure. Roughly half of all deaths (47.10%) were located in the non-exposed area and significantly reduced by 24% in highly contaminated areas compared with non-exposed areas.

Conclusion: Integrating the latest available data on soil contamination and cancer incidence will extend on-going knowledge of chlordecone exposure and Prostate cancer incidence, which remains a major environmental concern in Martinique. Pooling expertise and consolidating all preexisting information on prostate cancer epidemiology at a single level is the solution for: (i) data visualization, (ii) the production of relevant indicators and (iii) risk modeling.

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