Construction and Validation of Prediction Models of Risk Factors for Early Death in Patients With Metastatic Melanoma

To construct nomogram models to predict the risk factors for early death in patients with metastatic melanoma (MM). The study covered 2138 cases from the Surveillance, Epidemiology, and End Results Program (SEER) database and all these patients were diagnosed with MM between 2010 and 2015. Logistic...

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Bibliographic Details
Published in:Sichuan da xue xue bao. Journal of Sichuan University. Yi xue ban 2024-03, Vol.55 (2), p.367-374
Main Authors: Li, Siru, Li, Jing, Yang, Qi, Yin, Cunli, Liu, Bin
Format: Article
Language:Chinese
Subjects:
Female
Humans
Logistic Models
Male
Melanoma - mortality
Melanoma - pathology
Middle Aged
Neoplasm Metastasis
Nomograms
Risk Factors
ROC Curve
SEER Program
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Summary:To construct nomogram models to predict the risk factors for early death in patients with metastatic melanoma (MM). The study covered 2138 cases from the Surveillance, Epidemiology, and End Results Program (SEER) database and all these patients were diagnosed with MM between 2010 and 2015. Logistic regression was performed to identify independent risk factors affecting early death in MM patients. These risk factors were then used to construct nomograms of all-cause early death and cancer-specific early death. The efficacy of the model was assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). In addition, external validation of the model was performed with clinicopathologic data of 105 patients diagnosed with MM at Sichuan Cancer Hospital between January 2015 and January 2020. According to the results of logistic regression, marital status, the primary site, N staging, surgery, chemotherapy, bone metastases, liver metastases, lung metastases, and b
ISSN:1672-173X
DOI:10.12182/20240360101