Quantitative Evaluation of the Impact of Relaxing Eligibility Criteria for Lung Cancer Based on Real-world Data
Quantitative Evaluation of the Impact of Relaxing Eligibility Criteria on the Risk-benefit Profile of Drugs for Lung Cancer Based on Real-world Data
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
50,000 participants
Jan 1, 2013
OBSERVATIONAL
Conditions
Summary
Eligibility criteria for cancer drug trials are generally too stringent, leading to key issues such as low enrolment rates and lack of population diversity. In order to evaluate the REC of NSCLC drug trials, this study will use deep learning methods to construct a structured real-world database of NSCLC across dimensions, and quantitatively assess the independent contribution of changes in each eligibility criterion to patient numbers, clinical efficacy and safety.
Eligibility
Plain Language Summary
Simplified for easier understanding
This is a simplified summary. Always discuss eligibility with your doctor before enrolling in a clinical trial.
Interventions
Quantitative evaluation of the impact of relaxing eligibility criteria on the risk-benefit profile of drugs for lung cancer based on real-world data
Locations(1)
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NCT06314542