ArticleOncotarget2017
Development and validation of two prognostic nomograms for predicting survival in patients with non-small cell and small cell lung cancer.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 46 citations in OpenAlex.
- Development and external validation of an XGBoost-based prognostic model for small cell lung cancer with brain metastases.Translational cancer research · 2026Article
- Prognostic Nomogram for Predicting Survival in Asian Patients With Small-Cell Lung Cancer: A Comprehensive Population-Based Study and External Verification.The clinical respiratory journal · 2024Article
- Development of a novel nomogram for patients with SCLC and comparison with other models.BMC cancer · 2024Article
- 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
- Development and validation of prognostic models for small cell lung cancer patients with liver metastasis: a SEER population-based study.BMC pulmonary medicine · 2024Article
- Development and validation of a predicative model for identifying sarcopenia in Chinese adults using nutrition indicators (AHLC).Frontiers in nutrition · 2024Article
- Article
- Identification of a visualized web-based nomogram for overall survival prediction in patients with limited stage small cell lung cancer.Scientific reports · 2023Article
- Prognostic score and sex-specific nomograms to predict survival in resectable lung cancer: A French nationwide study from the Epithor cohort database.The Lancet regional health. Europe · 2023Article
- 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
- A novel deep learning prognostic system improves survival predictions for stage III non-small cell lung cancer.Cancer medicine · 2022Article
- Clinical characteristics and prognostic model for extensive-stage small cell lung cancer: A retrospective study over an 8-year period.Thoracic cancer · 2022Article
- Prognostic Nomogram for Overall Survival in Small Cell Lung Cancer Patients Treated with Chemotherapy: A SEER-Based Retrospective Cohort Study.Advances in therapy · 2022Article
- External Application of a Nomogram to Predict Survival and Benefit of Peripheral Blood Inflammatory Indexes in Limited-Stage Small Cell Lung Cancer.Frontiers in oncology · 2022Article
- Development and Validation of a Nomogram Prognostic Model for Resected Limited-Stage Small Cell Lung Cancer Patients.Annals of surgical oncology · 2021Article
- Article
- An immune scores-based nomogram for predicting overall survival in patients with clear cell renal cell carcinoma.Medicine · 2020Observational
- Predictors of prognosis of synchronous brain metastases in small-cell lung cancer patients.Clinical & experimental metastasis · 2020Article
- Development and validation of a prognostic model of resectable small-cell lung cancer: a large population-based cohort study and external validation.Journal of translational medicine · 2020Article
- A Novel Nomogram Based on Immune Scores for Predicting Survival in Patients with Early-Stage Non-Small Cell Lung Cancer (NSCLC).Medical science monitor : international medical journal of experimental and clinical research · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to construct two prognostic nomograms to predict survival in patients with non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) using a novel set of clinical parameters. PATIENTS AND
methodsTwo nomograms were developed, using a retrospective analysis of 5384 NSCLC and 647 SCLC patients seen during a 10-year period at Xiang Ya Affiliated Cancer Hospital (Changsha, China). The patients were randomly divided into training and validation cohorts. Univariate and multivariate analyses were used to identify the prognostic factors needed to establish nomograms for the training cohort. The model was internally validated via bootstrap resampling and externally certified using the validation cohort. Predictive accuracy and discriminatory capability were estimated using concordance index (C-index), calibration curves, and risk group stratification.
resultsThe largest contributor to overall survival (OS) prognosis in the NSCLC nomogram was the therapeutic regimen and diagnostic method parameters, and in the SCLC nomogram was the therapeutic regimen and health insurance plan parameters. Calibration curves for the nomogram prediction and the actual observation were in optimal agreement for the 3-year OS and acceptable agreement for the 5-year OS in both training datasets. The C-index was higher for the NSCLC cohort nomogram than for the TNM staging system (0.67 vs. 0.64, P = 0.01) and higher for the SCLC nomogram than for the clinical staging system (limited vs. extensive) (0.60 vs. 0.53,
conclusionTreatment regimen parameter made the largest contribution to OS prognosis in both nomograms, and these nomograms might provide clinicians and patients a simple tool that improves their ability to accurately estimate survival based on individual patient parameters rather than using an averaged predefined treatment regimen.
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