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

March 11, 2024 updated by: Cancer Institute and Hospital, Chinese Academy of Medical Sciences

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

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Restrictive eligibility criteria in cancer drug trials result in low enrollment rates and limited population diversity. Relaxed eligibility criteria (REC) based on solid evidence is becoming necessary for stakeholders worldwide. However, the absence of high-quality, favorable evidence remains a major challenge. This study presents a protocol to quantitatively evaluate the impact of relaxing eligibility criteria in common non-small cell lung cancer (NSCLC) protocols in China, on the risk-benefit profile. This involves a detailed explanation of the rationale, framework, and design of REC.

To evaluate our REC in NSCLC drug trials, we will first construct a structured, cross-dimensional real-world NSCLC database using deep learning methods. We will then establish randomized virtual cohorts and perform benefit-risk assessment using Monte Carlo simulation and propensity matching. Shapley value will be utilized to quantitatively measure the effect of the change of each eligibility criterion on patient volume, clinical efficacy and safety.

Study Type

Observational

Enrollment (Estimated)

50000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • China
      • Beijing, China
        • Recruiting
        • Cancer Hospital, Chinese Academy of Medical Sciences
        • Contact:
          • Ning li

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Those patients diagnosed with primary NSCLC in stage IIIb-IV, are the study population.

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Scale of eligibility criteria
Time Frame: 2024.12.31
Lung cancer clinical trial protocol eligibility criteria
2024.12.31

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Collaborators

AstraZeneca

Investigators

  • Study Director: Ning Li, doctor, Cancer Institute and Hospital, Chinese Academy of Medical Sciences

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2013

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

June 30, 2026

Study Registration Dates

First Submitted

March 11, 2024

First Submitted That Met QC Criteria

March 11, 2024

First Posted (Actual)

March 18, 2024

Study Record Updates

Last Update Posted (Actual)

March 18, 2024

Last Update Submitted That Met QC Criteria

March 11, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • REC-001

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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