How screening patterns relate to early-stage lung cancer in newly diagnosed patients
Official title: A Multicenter, Prospective, Observational Study on the Association Between Real-World Lung Cancer Screening Behaviors and Lung Cancer Disease Spectrum
Run by Fudan University · NCT07626177 · Data updated 2026-11-12
This study looks at how different lung cancer screening behaviors relate to catching cancer early in patients who were recently diagnosed.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 5390 (estimated) |
| Sponsor | Fudan University Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Shanghai, Shanghai Municipality) |
| Status | Recruiting |
| Started | May 14, 2026 |
| Main results expected | May 1, 2027 |
| Study ends | June 1, 2027 |
| Registry record updated | June 4, 2026 |
| Trial ID | NCT07626177 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with histologically confirmed primary lung cancer diagnosed within the past year who can accurately recall or provide prior medical history.
✕Probably not a fit
Patients with recurrent or metastatic lung cancer or those unable to provide essential clinical data may not benefit from the findings.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study analyzes real-world data from patients with newly diagnosed primary lung cancer to describe epidemiology and disease spectrum, including age, gender, smoking history, and pathology. It compares screening patterns—overscreening, underscreening, guideline-concordant, and precision screening—to see how they affect the likelihood of detecting cancer in the curative time window (AIS/MIA or pure GGNs) and to estimate related costs and radiation exposure. The goal is to evaluate whether a low-age, low-frequency screening approach could improve early-stage capture. The analysis relies on retrospective or contemporaneous patient information and pathology data captured before or around diagnosis.
Why it matters
Potential benefit: If successful, the findings could inform screening policy to improve early detection while potentially reducing unnecessary radiation exposure.
How similar studies have gone: Previous observational work has shown associations between screening patterns and cancer detection, but this study adds real-world context focused on early-stage capture and cost implications.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Histologically confirmed primary lung cancer within the past year (surgical or biopsy pathology). * Patients capable of clearly recalling or providing medical and physical examination history prior to diagnosis. Exclusion Criteria: * Recurrent lung cancer or metastatic lung tumors. * Severe lack of critical clinical data (e.g., inability to provide pathological type or stage). * Patients with cognitive impairment or severe mental illness who cannot cooperate with the questionnaire.
Where it's running
-
Fudan University Cancer Center
Shanghai, Shanghai Municipality, China Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.