Oncogeriatric Screening and Evaluation Program

Sex: All

Ages: 65 Years – N/A

Healthy volunteers: No

Enrollment: 412

Sponsor: Latin American Cooperative Oncology Group

Summary

This study aims to develop, train, and validate a machine learning-based prediction model (PROTEGER) to provide treatment decision recommendations for older adults diagnosed with solid tumor cancers. The study has a two-phase observational design: a retrospective cohort using anonymized data from an oncogeriatric telecommittee to train the predictive model, followed by a prospective multicenter cohort across Chile, Peru, and Brazil. Information from Comprehensive Geriatric Assessments (CGA), treatment decisions, and 3- and 6-month clinical outcomes will be collected to evaluate and validate the decision-support platform's performance in assisting oncology teams.

Eligibility Criteria

Inclusion Criteria: * Age 65 years or older. * Diagnosis of solid tumor cancer. * Must have been evaluated and followed up by a local oncology team. * Signed Informed Consent Form (ICF) applied in accordance with the local ethics committee. * Must have undergone a Comprehensive Geriatric Assessment (CGA). Exclusion Criteria: \- Patients who are unable or unwilling to consent to providing information will be excluded.

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07805642). StuddyBuddy aggregates publicly available trial information.