Competing‑risks model for predicting the prognosis of patients with angiosarcoma based on the SEER database of 3905 cases  

作　　者：Chaodi Huang Jianguo Huang Yong He Qiqi Zhao Wai-Kit Ming Xi Duan Yuzhen Jiang Yau Sun Lak Yunfei Gao Jun Lyu Liehua Deng 

机构地区：[1]Department of Dermatology,The First Affiliated Hospital of Jinan University&Jinan University Institute of Dermatology,Guangzhou,China [2]Department of Dermatology,The Fifth Affiliated Hospital of Jinan University,Heyuan,China [3]Department of Dermatology,Huadu District People’s Hospital of Guangzhou,Guangzhou,China [4]Department of Infectious Diseases and Public Health,Jockey Club College of Veterinary Medicine and Life Sciences,City University of Hong Kong,Hong Kong,China [5]Department of Dermatology,Affiliated Hospital of North Sichuan Medical College,Nanchong,China [6]Royal Free Hospital&University College London,London,UK [7]Centro de Hospitalar Conde de Januario,Macao,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,China [9]The Biomedical Translational Research Institute,Faculty of Medical Science,Jinan University,Guangzhou,China [10]Department of Clinical Research,The First Affiliated Hospital of Jinan University,Guangzhou,China [11]Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization,Guangzhou,China

出　　处：《Holistic Integrative Oncology》2024年第1期554-566,共13页整合肿瘤学(英文)

基　　金：supported by 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：Purpose To establish a competing-risks model and compare it with traditional survival analysis,aiming to identify more precise prognostic factors for angiosarcoma.The presence of competing risks suggests that prognostic factors derived from the conventional Cox regression model may exhibit bias.Methods Patient data pertaining to angiosarcoma cases diagnosed from 2000 to 2019 were extracted from the Sur-veillance,Epidemiology,and End Results(SEER)database.Multivariate analysis employed both the Cox regression model and the Fine-Gray model,while univariate analysis utilized the cumulative incidence function and Gray’s test.Results A total of 3,905 enrolled patients diagnosed with angiosarcoma were included,out of which 2,781 suc-cumbed to their condition:1,888 fatalities resulted from angiosarcoma itself,and 893 were attributed to other causes.The Fine-Gray model,through multivariable analysis,identified SEER stage,gender,race,surgical status,chemotherapy status,radiotherapy status,and marital status as independent prognostic factors for angiosarcoma.The Cox regression model,due to the occurrence of competing-risk events,could not accurately estimate the effect values and yielded false-negative outcomes.Clearly,when analyzing clinical survival data with multiple endpoints,the competing-risks model demonstrates superior performance.Conclusion This current investigation may enhance clinicians’comprehension of angiosarcoma and furnish refer-ence data for making clinical decisions.

关 键 词：ANGIOSARCOMA Competing-risks model PROGNOSIS SEER Fine-gray model Cox model 

分 类 号：R73[医药卫生—肿瘤]