ArticleAnnals of surgical oncology2021
Development and Validation of a Nomogram Prognostic Model for Resected Limited-Stage Small Cell Lung Cancer Patients.
Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Development and validation of prognostic nomogram for TBMC cancer · 2023Trial
- Integrating multimodal data for precise subtyping and prognostication in patients with pulmonary mucinous adenocarcinoma.Translational cancer research · 2026Article
- Development and internal validation of dynamic nomograms for predicting recurrence and survival in patients with resected combined small cell lung cancer.Journal of thoracic disease · 2026Article
- A novel nomogram based on DLL3 and PD-L1 for predicting the prognosis of patients with small cell lung cancer.BMC cancer · 2025Article
- Current Surgical Perspective on the Prognosis of Small-Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2025Review
- The screening of optimal primary tumor resection candidates in patients with small cell lung cancer: a population-based predictive model.Translational cancer research · 2025Article
- Construction, validation, and visualization of a web-based nomogram to predict overall survival in small-cell lung cancer patients with brain metastasis.Cancer causes & control : CCC · 2024Article
- Identification of a visualized web-based nomogram for overall survival prediction in patients with limited stage small cell lung cancer.Scientific reports · 2023Article
- Article
- Interpretable deep learning survival predictive tool for small cell lung cancer.Frontiers in oncology · 2023Article
- Development and External Validation of a Preoperative Nomogram for Predicting Lateral Pelvic Lymph Node Metastasis in Patients With Advanced Lower Rectal Cancer.Frontiers in oncology · 2022Article
- Development and validation of nomogram prognostic model for early-stage T1-2N0M0 small cell lung cancer: A population-based analysis.Frontiers in oncology · 2022Article
- The role of surgery in older patients with T1-2N0M0 small cell lung cancer: A propensity score matching analysis.Frontiers in 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
- Cancer-Specific Survival Outcome in Early-Stage Young Breast Cancer: Evidence From the SEER Database Analysis.Frontiers in endocrinology · 2021Article
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10 authors.
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Abstract
backgroundIn this study, we developed and validated nomograms for predicting the survival in surgically resected limited-stage small cell lung cancer (SCLC) patients.
methodsThe SCLC patients extracted from the Surveillance, Epidemiology, and End Results database between 2000 and 2014 were reviewed. Significant prognostic factors were identified and integrated to develop the nomogram using multivariable Cox regression. The model was then validated internally by bootstrap resampling, and externally using an independent SCLC cohort diagnosed between 2000 and 2015 at our institution. The prognostic performance was measured by the concordance index (C-index) and calibration curve.
resultsA total of 1006 resected limited-stage SCLC patients were included in the training cohort. Overall, 444 cases from our institution constituted the validation cohort. Seven prognostic factors were identified and entered into the nomogram construction. The C-indexes of this model in the training cohort were 0.723, 0.722, and 0.746 for predicting 1-, 3-, and 5-year overall survival (OS), respectively, and 0.816, 0.710, and 0.693, respectively, in the validation cohort. The calibration curve showed optimal agreement between nomogram-predicted survival and actual observed survival. Additionally, significant distinctions in survival curves between different risk groups stratified by prognostic scores were also observed. The proposed nomogram was then deployed into a website server for convenient application.
conclusionsWe developed and validated novel nomograms for individual prediction of survival for resected limited-stage SCLC patients. These models perform better than the previously widely used staging system and may offer clinicians instructions for strategy making and the design of clinical trials.
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