Clinical Research Directory

Quantitative Evaluation of the Impact of Relaxing Eligibility Criteria for Lung Cancer Based on Real-world Data

Sponsor: Cancer Institute and Hospital, Chinese Academy of Medical Sciences

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.

Official title: Quantitative Evaluation of the Impact of Relaxing Eligibility Criteria on the Risk-benefit Profile of Drugs for Lung Cancer Based on Real-world Data

Key Details

Conditions

Interventions

Locations (1)