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南非埃塞俄比亚乳腺癌死亡率的生存情况及其预测因素:一项回顾性队列研究。

Survival and predictors of breast cancer mortality in South Ethiopia: A retrospective cohort study.

机构信息

Mizan Aman College of Health Sciences, Department of Public Health, Addis Ababa, Southwest Ethiopia.

Department of Preventive Medicine, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.

出版信息

PLoS One. 2023 Mar 6;18(3):e0282746. doi: 10.1371/journal.pone.0282746. eCollection 2023.

Abstract

BACKGROUND

Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death in over 100 countries. In March 2021, the World Health Organization called on the global community to decrease mortality by 2.5% per year. Despite the high burden of the disease, the survival status and the predictors for mortality are not yet fully determined in many countries in Sub-Saharan Africa, including Ethiopia. Here, we report the survival status and predictors of mortality among breast cancer patients in South Ethiopia as crucial baseline data to be used for the design and monitoring of interventions to improve early detection, diagnosis, and treatment capacity.

METHODS

A hospital-based retrospective cohort study was conducted among 302 female breast cancer patients diagnosed from 2013 to 2018 by reviewing their medical records and telephone interviews. The median survival time was estimated using the Kaplan-Meier survival analysis method. A log-rank test was used to compare the observed differences in survival time among different groups. The Cox proportional hazards regression model was used to identify predictors of mortality. Results are presented using the crude and adjusted as hazard ratios along with their corresponding 95% confidence intervals. Sensitivity analysis was performed with the assumption that loss to follow-up patients might die 3 months after the last hospital visit.

RESULTS

The study participants were followed for a total of 4,685.62 person-months. The median survival time was 50.81 months, which declined to 30.57 months in the worst-case analysis. About 83.4% of patients had advanced-stage disease at presentation. The overall survival probability of patients at two and three years was 73.2% and 63.0% respectively. Independent predictors of mortality were: patients residing in rural areas (adjusted hazard ratio = 2.71, 95% CI: 1.44, 5.09), travel time to a health facility ≥7 hours (adjusted hazard ratio = 3.42, 95% CI: 1.05, 11.10), those who presented within 7-23 months after the onset of symptoms (adjusted hazard ratio = 2.63, 95% CI: 1.22, 5.64), those who presented more than 23 months after the onset of symptoms (adjusted hazard ratio = 2.37, 95% CI: 1.00, 5.59), advanced stage at presentation (adjusted hazard ratio = 3.01, 95% CI: 1.05, 8.59), and patients who never received chemotherapy (adjusted hazard ratio = 6.69, 95% CI: 2.20, 20.30).

CONCLUSION

Beyond three years after diagnosis, patients from southern Ethiopia had a survival rate of less than 60% despite treatment at a tertiary health facility. It is imperative to improve the early detection, diagnosis, and treatment capacities for breast cancer patients to prevent premature death in these women.

摘要

背景

乳腺癌是全球发病率最高的癌症,也是 100 多个国家癌症死亡的主要原因。2021 年 3 月,世界卫生组织呼吁全球社会每年将死亡率降低 2.5%。尽管疾病负担沉重,但在撒哈拉以南非洲的许多国家,包括埃塞俄比亚,乳腺癌患者的生存状况和死亡预测因素尚不完全明确。在这里,我们报告了南非埃塞俄比亚乳腺癌患者的生存状况和死亡预测因素,这些数据是重要的基线数据,可用于设计和监测旨在改善早期发现、诊断和治疗能力的干预措施。

方法

对 2013 年至 2018 年间在一家三级医疗机构确诊的 302 名女性乳腺癌患者进行了一项基于医院的回顾性队列研究,研究通过查阅病历和电话访谈进行。使用 Kaplan-Meier 生存分析方法估计中位生存时间。采用对数秩检验比较不同组间生存时间的差异。使用 Cox 比例风险回归模型识别死亡的预测因素。结果以粗风险比和调整风险比(及其相应的 95%置信区间)表示。进行敏感性分析时假设失访患者可能在最后一次医院就诊后 3 个月死亡。

结果

研究对象共随访 4685.62 人年。中位生存时间为 50.81 个月,在最差情况下分析中降至 30.57 个月。约 83.4%的患者在就诊时处于晚期疾病。患者在两年和三年时的总生存率分别为 73.2%和 63.0%。死亡的独立预测因素为:居住在农村地区(调整后的危险比=2.71,95%置信区间:1.44,5.09),前往医疗机构的旅行时间≥7 小时(调整后的危险比=3.42,95%置信区间:1.05,11.10),症状出现后 7-23 个月就诊(调整后的危险比=2.63,95%置信区间:1.22,5.64),症状出现后 23 个月以上就诊(调整后的危险比=2.37,95%置信区间:1.00,5.59),就诊时处于晚期(调整后的危险比=3.01,95%置信区间:1.05,8.59),以及从未接受过化疗的患者(调整后的危险比=6.69,95%置信区间:2.20,20.30)。

结论

在诊断后三年以上,尽管在一家三级医疗机构接受治疗,来自埃塞俄比亚南部的患者的生存率仍低于 60%。必须提高乳腺癌患者的早期发现、诊断和治疗能力,以防止这些女性过早死亡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3813/9987816/433d3ef11ee9/pone.0282746.g001.jpg

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