ArticleJournal of cancer research and clinical oncology2023
Risk factors of early mortality in patients with small cell lung cancer: a retrospective study in the SEER database.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- LASSO-based nomograms predict early death in small cell lung cancer (SCLC) patients with brain metastasis.Translational cancer research · 2025Article
- Prognostic factors of liver metastases in extensive-stage small cell lung cancer receiving chemo-immunotherapy.Translational lung cancer research · 2025Article
- Prevalence, treatment patterns, and survival of patients with brain metastases from small cell lung cancer: A retrospective study using the TriNetX Oncology Database.Neuro-oncology practice · 2025Article
- Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy.Frontiers in medicine · 2025Article
- CMSP exerts anti-tumor effects on small cell lung cancer cells by inducing mitochondrial dysfunction and ferroptosis.Open medicine (Warsaw, Poland) · 2025Article
- 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
- Treatment Patterns and Survival Outcomes in Patients With Stage T1-2N0M0 Small Cell Lung Cancer Undergoing Surgery: A Retrospective Cohort Study.World journal of oncology · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundSmall cell lung cancer (SCLC) is a highly aggressive neuroendocrine cancer with a high risk of early mortality (i.e., survival time less than 1 month). This study aimed to identify relevant risk factors and predict early mortality in SCLC patients.
methodsA total of 27,163 SCLC cases registered between 2010 and 2019 were extracted from the Surveillance, Epidemiology, and End Results (SEER) data. Significant independent risk factors were identified by univariate and multivariate logistic regression analyses. Nomograms for all-causes and cancer-specific early death were constructed and evaluated.
resultsAge, sex, clinical stage, presence of metastasis (liver and lung), and absence of treatment (surgery, radiotherapy and chemotherapy) were identified for significant association with all-causes and cancer-specific early death. Nomograms based on these predictors exhibited high accuracy (area under ROC curve > 0.850) and potential clinical practicality in the prediction of early mortality.
conclusionWe identified a set of factors associated with early mortality from SCLC and developed a clinically useful nomogram to predict high-risk patients. This nomogram could aid oncologists in the administration of individualized treatment regimens, potentially improving clinical outcomes of SCLC patients.
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