Prognostic factors of survival in patients with lung cancer after low-dose computed tomography screening: a multivariate analysis of a lung cancer screening cohort in China
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key prognostic factors for lung cancer survival in a community screening cohort. Factors like gender, age, income, and nodule characteristics significantly impact patient outcomes.
Area Of Science
- Oncology
- Public Health
- Radiology
Background
- Lung cancer remains a leading cause of cancer-related mortality worldwide.
- Early detection through low-dose computed tomography (LDCT) screening improves survival rates.
- Identifying prognostic factors is crucial for personalized lung cancer management.
Purpose Of The Study
- To evaluate prognostic factors influencing lung cancer patient survival.
- To analyze data from a community-based lung cancer screening cohort.
- To identify predictors of survival for early-stage lung cancer.
Main Methods
- Population-based prospective cohort study of 25,310 participants (2013-2017).
- Kaplan-Meier and log-rank tests for survival analysis.
- Cox proportional hazards regression models to identify prognostic factors including demographics, risk factors, LDCT findings, and treatment.
Main Results
- 429 lung cancer cases were identified; 1, 3, and 5-year survival rates were 74.4%, 59.4%, and 54.5%.
- Multivariate analysis revealed significant prognostic factors: male gender, older age, lower income, small cell carcinoma, advanced stage, and lack of surgery.
- LDCT screening model indicated solid and larger nodules were associated with worse prognosis.
Conclusions
- Key prognostic factors for lung cancer detected via LDCT screening have been identified.
- These findings can assist clinicians in treatment decision-making for lung cancer patients.
- Further research with larger cohorts and detailed follow-up is recommended for enhanced prognostic prediction.
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