ArticleJournal of translational medicine2020
Development and validation of a prognostic model of resectable small-cell lung cancer: a large population-based cohort study and external validation.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- A prognostic nomogram to predict survival in elderly patients with small-cell lung cancer: a large population-based cohort study and external validation.BMC cancer · 2022Trial
- Development and Validation of a Prognostic Model to Predict Overall Survival for Lung Adenocarcinoma: A Population-Based Study From the SEER Database and the Chinese Multicenter Lung Cancer Database.Technology in cancer research & treatmentTrial
- Organ-based tumor distribution for predicting prognosis in small-cell lung cancer using fluorodeoxyglucose positron emission tomography/computed tomography.Scientific reports · 2025Article
- Current Surgical Perspective on the Prognosis of Small-Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2025Review
- Development and validation of nomograms for survival prediction in Fanconi anemia.Blood science (Baltimore, Md.) · 2025Article
- The screening of optimal primary tumor resection candidates in patients with small cell lung cancer: a population-based predictive model.Translational cancer research · 2025Article
- Metastatic sites, prognosis, and a new nomogram for predicting overall survival among small cell lung cancer patients with liver metastasis: a retrospective study based on SEER.Journal of thoracic disease · 2025Article
- Prognostic factors and predictive models for patients with lung large cell neuroendocrine carcinoma: Based on SEER database.The clinical respiratory journal · 2024Article
- Development and validation of prognostic models for small cell lung cancer patients with liver metastasis: a SEER population-based study.BMC pulmonary medicine · 2024Article
- A 15-Gene-Based Risk Signature for Predicting Overall Survival in SCLC Patients Who Have Undergone Surgical Resection.Cancers · 2023Article
- Surgery for stage IIB-IIIB small cell lung cancer.World journal of surgical oncology · 2023Article
- Article
- Comparation between novel online models and the AJCC 8th TNM staging system in predicting cancer-specific and overall survival of small cell lung cancer.Frontiers in endocrinology · 2023Article
- Development and external validation of a novel nomogram for predicting cancer-specific survival in patients with ascending colon adenocarcinoma after surgery: a population-based study.World journal of surgical oncology · 2022Article
- Effect of surgery on survival in patients with stage III N2 small cell lung cancer: propensity score matching analysis and nomogram development and validation.World journal of surgical oncology · 2021Article
- Prognostic Nomograms for Nonelderly Adults with Gastric Signet Ring Cell Carcinoma.BioMed research international · 2021Article
- Sites of Synchronous Distant Metastases, Prognosis, and Nomogram for Small Cell Lung Cancer Patients with Bone Metastasis: A Large Cohort Retrospective Study.Journal of oncology · 2021Article
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6 authors.
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Abstract
backgroundSurvival outcomes of patients with resected SCLC differ widely. The aim of our study was to build a model for individualized risk assessment and accurate prediction of overall survival (OS) in resectable SCLC patients.
methodsWe collected 1052 patients with resected SCLC from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were selected by COX regression analyses, based on which a nomogram was constructed by R code. External validation were performed in 114 patients from Shandong Provincial Hospital. We conducted comparison between the new model and the AJCC staging system. Kaplan-Meier survival analyses were applied to test the application of the risk stratification system.
resultsSex, age, T stage, N stage, LNR, surgery and chemotherapy were identified to be independent predictors of OS, according which a nomogram was built. Concordance index (C-index) of the training cohort were 0.721, 0.708, 0.726 for 1-, 3- and 5-year OS, respectively. And that in the validation cohort were 0.819, 0.656, 0.708, respectively. Calibration curves also showed great prediction accuracy. In comparison with 8th AJCC staging system, improved net benefits in decision curve analyses (DCA) and evaluated integrated discrimination improvement (IDI) were obtained. The risk stratification system can significantly distinguish the ones with different survival risk. We implemented the nomogram in a user-friendly webserver.
conclusionsWe built a novel nomogram and risk stratification system integrating clinicopathological characteristics and surgical procedure for resectable SCLC. The model showed superior prediction ability for resectable SCLC.
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