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Oncogeriatric Screening and Evaluation Program

NCT07805642 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 412

Last updated 2026-09-04

No results posted yet for this study

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.

Conditions

  • Solid Tumor Cancer

Sponsors & Collaborators

  • ONCOGER SpA

    collaborator INDUSTRY

  • Latin American Cooperative Oncology Group

    lead OTHER

Principal Investigators

  • Luciola Pontes Leite de Barros · Hospital do Coração (HCOR)

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-30
Primary Completion
2027-01-31
Completion
2027-07-31

Countries

  • Brazil

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07805642 on ClinicalTrials.gov