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

UnknownN/A

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

Conditions: Lung Cancer

Interventions: relaxing eligibility criteria

Countries: China

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 overview

Sex: ALL

Study type: OBSERVATIONAL

Eligibility criteria

Inclusion Criteria:

Patients in the database were considered to be part of the real-world cohort if they were (1) diagnosed with NSCLC according to the tenth revision of the international classification of diseases (ICD-10) code; (2) diagnosed with stage IIIB, IIIC, IV NSCLC between 1 January 2013 and 31 December, 2022; (3) had at least two documented clinical visits on or after 1 January 2013.

Exclusion Criteria:

（1）NSCLC in stage I-IIIa

Locations (1)

Beijing, China