Abstract
Background
Small 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.
Methods
A 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.
Results
Age, 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.
Conclusion
We 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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Data availability
Publicly available datasets were analyzed in this study. This data can be found here: https://seer.cancer.gov.
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Funding
This study was jointly supported by Shandong medical and health science and technology development plan project (202009030079, 202009030080).
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Study design: YA, ZL and LS. Methodological development: ZL, MP, XL, YZ, WZ and WH. Statistical analysis: ZL, YA, and MP. Manuscript writing: All authors. Study research guidance and supervision: YA and LS. All authors contributed to the article and approved the submitted version.
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Li, Z., Pang, M., Liang, X. et al. Risk factors of early mortality in patients with small cell lung cancer: a retrospective study in the SEER database. J Cancer Res Clin Oncol 149, 11193–11205 (2023). https://doi.org/10.1007/s00432-023-05003-7
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DOI: https://doi.org/10.1007/s00432-023-05003-7