Competing-risks model for predicting the prognosis of patients with regressive melanoma based on the SEER database  

作　　者：Chaodi Huang Liying Huang Jianguo Huang Xinkai Zheng Congjun Jiang Kong Ching Tom UTim Wu WenHsien Ethan Huang Yunfei Gao Fangmin Situ Hai Yu Liehua Deng Jun Lyu 

机构地区：[1]Department of Dermatology,The First Affiliated Hospital of Jinan University and Jinan University Institute of Dermatology,Guangzhou,Guangdong,China [2]Department of Clinical Research,The First Affiliated Hospital of Jinan University,Guangzhou,Guangdong,China [3]Department of Dermatology,Huadu District People's Hospital of Guangzhou,Guangzhou,Guangdong,China [4]Department of Dermatology,The First Affiliated Hospital of Bengbu Medical College,Bengbu,Anhui,China [5]Primax Biotech Company,Hong Kong,China [6]Meng Yi Centre Limited,Macao,China [7]GeneHope Clinic,Taipei,Taiwan,China [8]Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment,Zhuhai Institute of Translational Medicine,Zhuhai People's Hospital Affiliated with Jinan University,Zhuhai,Guangdong,China [9]The Biomedical Translational Research Institute,Faculty of Medical Science,Jinan University,Guangzhou,Guangdong,China [10]Department of Dermatology,The Fifth Affiliated Hospital of Jinan University,Heyuan,Guangdong,China [11]Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization,Guangzhou,Guangdong,China

出　　处：《Malignancy Spectrum》2024年第2期123-135,共13页肿瘤学全景（英文）

基　　金：Key Scientific Problems and Medical Technical Problems Research Project of China Medical Education Association(2022KTZ009);Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization(2021B1212040007).

摘　　要：Background:The relationship between the regression and prognosis of melanoma has been debated for years.When competing-risk events are present,using traditional survival analysis methods may induce bias in the identified prognostic factors that affect patients with regressive melanoma.Methods:Data on patients diagnosed with regressive melanoma were extracted from the Surveillance,Epidemiology,and End Results(SEER)database during 2000-2019.Cumulative incidence function and Gray's test were used for the univariate analysis,and the Cox proportional-hazards model and the Fine-Gray model were used for the multivariate analysis.Results:A total of 1442 eligible patients were diagnosed with regressive melanoma,including 529 patients who died:109 from regressive melanoma and 420 from other causes.The multivariate analysis using the Fine-Gray model revealed that SEER stage,surgery status,and marital status were important factors that affected the prognosis of regressive melanoma.Due to the existence of competing-risk events,the Cox model may have induced biases in estimating the effect values,and the competing-risks model was more advantageous in the analysis of multipleendpoint clinical survival data.Conclusion:The findings of this study may help clinicians to better understand regressive melanoma and provide reference data for clinical decisions.

关 键 词：competing-risks model PROGNOSIS regressive melanoma SEER Cox model 

分 类 号：R739.5[医药卫生—肿瘤]