Predictors of survival rates among breast cancer patients in Ethiopia: a systematic review and meta-analysis 2024.

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Archives of Public Health Pub Date : 2025-02-06 DOI:10.1186/s13690-025-01514-6
Chalie Mulugeta, Tadele Emagneneh, Getinet Kumie, Assefa Sisay, Nigusie Abebaw, Mulat Ayele, Abebaw Alamrew
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Abstract

Introduction: Breast cancer remains the most common cancer and a leading cause of cancer-related deaths among women worldwide. In Ethiopia, the survival rate of breast cancer patients is influenced by various socio-demographic, clinical, and health system factors. This systematic review and meta-analysis aimed to identify and synthesize the predictors of survival rates among breast cancer patients in Ethiopia.

Methods: We conducted a systematic review of observational cohort studies. The literature search was performed between August 1 and 30, 2024, using PubMed, Hinari, EMBASE, Google, Google Scholar, and Web of Science. The Newcastle Ottawa 2016 Critical Appraisal Checklist assessed methodological quality. Publication bias was evaluated using a funnel plot and Egger's test, and heterogeneity was examined with the I-squared test. Data were extracted with Microsoft Excel and analyzed using Stata 11.

Results: A total of 15 articles with 6,375 study participants from six regions were included. We found that significant predictors of decreased survival rate among breast cancer patients were age (aHR 1.05, 95% CI 1.02-1.08), illiteracy (aHR 7.34, 95% CI 4.38-10.3), married (aHR 1.21, 95% CI 1.03-1.40), rural residence (aHR 1.71, 95% CI 1.06-2.36), two or more lymph node involvement (aHR 3.57, 95% CI 1.02-6.13), histological grade two or more (aHR 1.44, 95% CI 1.12-2.77), overweight (aHR 0.56, 95% CI 0.24-0.87), and having comorbidity (aHR 1.86, 95% CI 1.04-2.68).

Conclusion: This systematic review and meta-analysis identified several key predictors of reduced survival rates among breast cancer patients in Ethiopia, including older age, illiteracy, rural residence, involvement of two or more lymph nodes, higher histological grade, marital status, and the presence of comorbidities. Interestingly, being overweight was associated with improved survival. Health stakeholders and policymakers emphasizing public health education, managing comorbidities, and expanding access to early detection and treatment, especially in rural areas, are critical.

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埃塞俄比亚乳腺癌患者生存率的预测因素:一项系统回顾和荟萃分析。
乳腺癌仍然是最常见的癌症,也是全世界妇女癌症相关死亡的主要原因。在埃塞俄比亚,乳腺癌患者的存活率受到各种社会人口统计学、临床和卫生系统因素的影响。本系统综述和荟萃分析旨在识别和综合埃塞俄比亚乳腺癌患者生存率的预测因素。方法:我们对观察性队列研究进行了系统回顾。文献检索时间为2024年8月1日至30日,检索工具为PubMed、Hinari、EMBASE、谷歌、谷歌Scholar和Web of Science。纽卡斯尔渥太华2016年关键评估清单评估了方法质量。采用漏斗图和Egger检验评价发表偏倚,采用i平方检验检验异质性。使用Microsoft Excel提取数据,并使用Stata 11进行分析。结果:共纳入15篇文章,来自6个地区的6375名研究参与者。我们发现,乳腺癌患者生存率降低的重要预测因子为年龄(aHR 1.05, 95% CI 1.02-1.08)、文盲(aHR 7.34, 95% CI 4.38-10.3)、已婚(aHR 1.21, 95% CI 1.03-1.40)、农村居住(aHR 1.71, 95% CI 1.06-2.36)、两个或两个以上淋巴结受累性(aHR 3.57, 95% CI 1.02-6.13)、组织学分级2级或以上(aHR 1.44, 95% CI 1.12-2.77)、超重(aHR 0.56, 95% CI 0.24-0.87)和合并疾病(aHR 1.86, 95% CI 1.04-2.68)。结论:本系统综述和荟萃分析确定了埃塞俄比亚乳腺癌患者生存率降低的几个关键预测因素,包括年龄较大、文盲、农村居住、涉及两个或更多淋巴结、较高的组织学分级、婚姻状况和合并症的存在。有趣的是,超重与生存率的提高有关。卫生利益攸关方和决策者必须强调公共卫生教育,管理合并症,扩大早期检测和治疗的可及性,特别是在农村地区。
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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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