ArticleThe Journal of international medical research2024
Predictors of cancer-specific survival and overall survival among patients aged ≥60 years with lung adenocarcinoma using the SEER database.
Article in The Journal of international medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Zinc finger protein-associated gene signature serves as a potential predictor for prognosis and therapeutic response in lung adenocarcinoma.Amino acids · 2026Article
- Prognostic value and potential biological function ofJournal of thoracic disease · 2024Article
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4 authors.
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Abstract
objectiveWe developed a simple, rapid predictive model to evaluate the prognosis of older patients with lung adenocarcinoma.
methodsDemographic characteristics and clinical information of patients with lung adenocarcinoma aged ≥60 years were retrospectively analyzed using Surveillance, Epidemiology, and End Results (SEER) data. We built nomograms of overall survival and cancer-specific survival using Cox single-factor and multi-factor regression. We used the C-index, calibration curve, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA) to evaluate performance of the nomograms.
resultsWe included 14,117 patients, divided into a training set and validation set. We used the chi-square test to compare baseline data between groups and found no significant differences. We used Cox regression analysis to screen out independent prognostic factors affecting survival time and used these factors to construct the nomogram. The ROC curve, calibration curve, C-index, and DCA curve were used to verify the model. The final results showed that our predictive model had good predictive ability, and showed better predictive ability compared with tumor-node-metastasis (TNM) staging. We also achieved good results using data of our center for external verification.
conclusionThe present nomogram could accurately predict prognosis in older patients with lung adenocarcinoma.
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