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Study to Validate a Tool Predicting Neuropathic Pain Risk in Adults with Breast, Gynecological, Lung, or Colorectal Cancer
Led by University Hospital, Clermont-Ferrand · Updated on 2025-12-08
625
Participants Needed
19
Research Sites
56 weeks
Total Duration
AI-Summary
What this Trial Is About
Cancer treatment often involves surgery, chemotherapy, and radiotherapy, which can cause acute and chronic pain, including neuropathic pain that is hard to predict and treat. Many cancer patients experience chronic pain that significantly affects their quality of life. This research aims to validate a predictive tool to assess the risk of neuropathic pain and pain chronicity in cancer patients, considering factors like preoperative pain, opioid use, age, sleep, psychological state, and social vulnerability. The study involves 500 cancer patients with breast, gynecological, lung, or colorectal cancers, along with 125 healthy volunteers as controls. Participants will undergo assessments of cognitive, emotional, and pain-related factors through questionnaires. Data collection occurs at baseline, 6 months, and 12 months to evaluate pain intensity, neuropathic pain signs, cognitive function, emotional status, social vulnerability, quality of life, sleep quality, disease perception, and analgesic use. Participants will complete various validated questionnaires and scales at these time points to help researchers measure their pain trajectories and related factors. The primary outcome is the CANoPy score, assessed at baseline and during follow-up visits. The study tracks these measures over one year to understand pain development and its impact, aiming to improve predictive abilities for neuropathic pain in cancer management.
CONDITIONS
Brief Title
Vulnerability and Risk of Neuropathic Pain in Cancer
Research Team
L
Lise LACLAUTRE
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