NCT06314542

Brief 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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
50,000

participants targeted

Target at P75+ for all trials

Timeline
2mo left

Started Jan 2013

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress99%
Jan 2013Jun 2026

Study Start

First participant enrolled

January 1, 2013

Completed
11.2 years until next milestone

First Submitted

Initial submission to the registry

March 11, 2024

Completed
7 days until next milestone

First Posted

Study publicly available on registry

March 18, 2024

Completed
1.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2026

Expected
Last Updated

March 18, 2024

Status Verified

March 1, 2024

Enrollment Period

13 years

First QC Date

March 11, 2024

Last Update Submit

March 11, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • Scale of eligibility criteria

    Lung cancer clinical trial protocol eligibility criteria

    2024.12.31

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

Eligibility Criteria

Sexall
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

You may qualify if:

  • 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.

You may not qualify if:

  • (1)NSCLC in stage I-IIIa

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Cancer Hospital, Chinese Academy of Medical Sciences

Beijing, China

RECRUITING

MeSH Terms

Conditions

Lung Neoplasms

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Study Officials

  • Ning Li, doctor

    Cancer Institute and Hospital, Chinese Academy of Medical Sciences

    STUDY DIRECTOR

Central Study Contacts

Ning Li, doctor

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 11, 2024

First Posted

March 18, 2024

Study Start

January 1, 2013

Primary Completion

December 31, 2025

Study Completion (Estimated)

June 30, 2026

Last Updated

March 18, 2024

Record last verified: 2024-03

Locations