Competing-risks analysis for evaluating the prognosis of patients with microinvasive cutaneous squamous cell carcinoma based on the SEER database

Autor: Suzheng Zheng, Shuping Xie, Hai Yu, Xi Duan, Yong He, Chichien Ho, Yang Wan, Tie Hang, Wenhui Chen, Jun Lyu, Liehua Deng
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Druh dokumentu: article
ISSN: 1471-2288
DOI: 10.1186/s12874-023-02109-x
Popis: Abstract Background Utilizing the traditional Cox regression model to identify the factors affecting the risk of mortality due to microinvasive cutaneous squamous cell carcinoma (micSCC) may produce skewed results. Since cause-specific mortality can guide clinical decision-making, this study employed the Fine-Gray model based on the Surveillance, Epidemiology, and End Results (SEER) database to identify significant predictive variables for the risk of micSCC-related mortality. Methods This study used the information of patients with micSCC who were listed in the SEER database during 2000–2015. Cox regression and Fine-Gray models were utilized for the multivariable analysis, and Gray’s test and the cumulative incidence function were used for the univariable analyses. Results There were 100 patients who died from other reasons and 38 who died from micSCC among the 1259 qualified patients with micSCC. Most were female, white, married, had localized metastasis, etc. According to the univariable Gray’s test (P
Databáze: Directory of Open Access Journals
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