Assessing survival time of outpatients with cervical cancer: at the university of Gondar referral hospital using the Bayesian approach

BMC Women's Health

Research

Buzuneh Tasfa¹  Chekol Alemu²  Yoseph Kassa³  Chalachew Gashu³ 

[1] Department of Epidemiology, Faculty of Public Health, Jima University, Jima, Ethiopia;Department of Statistics, College of Natural and Computational Science, Gambella University, Gambella, Ethiopia;Department of Statistics, College of Natural and Computational Science, Oda Bultum University, Chiro, Ethiopia;

关键词: Cervical cancer;    Bayesian;    Survival data analysis;    Survival time;    Integrated nested Laplace approximation;   

DOI  :  10.1186/s12905-023-02202-9

 received in 2022-10-29, accepted in 2023-01-31,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundCervical cancer is the 4th most common cancer in women worldwide. as well as the 4th most common cause of cancer-related death. The main objective of this study was to identify factors that affect the survival time of outpatients with cervical cancer.MethodsA retrolective study including outpatients with cervical cancer was carried out in a hospital. To achieve the aim, 322 outpatients with cervical cancer were included in the study based on the data taken from the medical records of patients enrolled from May 15, 2018, to May 15, 2022, at the University of Gondar referral hospital, Gondar, Ethiopia. The Kaplan–Meier plots and log-rank test were used for the comparison of survival functions; the Cox-PH model and Bayesian parametric survival models were used to analyze the survival times of outpatients with cervical cancer. Integrated nested Laplace approximation methods have been applied.ResultsOut of a total of 322 patients, 118 (36.6%) died as outpatients. The estimated median survival time for patients was 42 months. Using model selection criteria, the Bayesian log-normal accelerated failure time model was found to be appropriate. According to the results of this model, oral contraceptive use, HIV, stage, grade, co-morbid disease, history of abortion, weight, histology type, FIGO stage, radiation, chemotherapy, LVSI, metastatic number, regional nodes examined, and tumor size all have a significant impact on the survival time of outpatients with cervical cancer. The Bayesian log-normal accelerated failure time model accurately predicted the survival time of cervical cancer outpatients.ConclusionsThe findings of this study suggested that reductions in weight, treatment, the presence of comorbid disease, the presence of HIV, squamous cell histology type, having a history of abortion, oral contraceptive use, a large tumor size, an increase in the International Federation of Gynecologists and Obstetricians stage, an increase in metastasis number, an increase in grade, positive regional nodes, lymphatic vascular space invasion, and late stages of cancer all shortened the survival time of cervical cancer outpatients.

【 授权许可】

CC BY   
© The Author(s) 2023

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