Department of Statistics, College of Natural and Computational Science, Oda Bultum University, Chiro, Ethiopia.
Department of Epidemiology, Faculty of Public Health, Jima University, Jima, Ethiopia.
BMC Womens Health. 2023 Feb 10;23(1):59. doi: 10.1186/s12905-023-02202-9.
Cervical 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.
A 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.
Out 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.
The 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.
宫颈癌是全球女性中第四常见的癌症，也是癌症相关死亡的第四大主要原因。本研究的主要目的是确定影响宫颈癌门诊患者生存时间的因素。
在一家医院进行了一项回顾性研究，包括宫颈癌门诊患者。为了实现这一目标，根据 2018 年 5 月 15 日至 2022 年 5 月 15 日期间从患者病历中获取的数据，纳入了 322 名宫颈癌门诊患者。使用 Kaplan-Meier 图和对数秩检验比较生存函数；Cox-PH 模型和贝叶斯参数生存模型用于分析宫颈癌门诊患者的生存时间。应用了集成嵌套拉普拉斯逼近方法。
在总共 322 名患者中，有 118 名（36.6%）作为门诊患者死亡。患者的估计中位生存时间为 42 个月。使用模型选择标准，发现贝叶斯对数正态加速失效时间模型是合适的。根据该模型的结果，口服避孕药的使用、HIV、分期、分级、合并症、流产史、体重、组织学类型、FIGO 分期、放疗、化疗、LVSI、转移数、检查的区域淋巴结和肿瘤大小都对宫颈癌门诊患者的生存时间有显著影响。贝叶斯对数正态加速失效时间模型准确地预测了宫颈癌门诊患者的生存时间。
本研究结果表明，体重减轻、治疗、合并症的存在、HIV 的存在、鳞状细胞组织学类型、有流产史、口服避孕药的使用、肿瘤较大、国际妇产科联合会分期的增加、转移数的增加、分级的增加、阳性区域淋巴结、淋巴管血管空间侵犯和癌症晚期都缩短了宫颈癌门诊患者的生存时间。
