Survival Patterns Among Patients With Breast Cancer in Sub-Saharan Africa

被引:3
作者
Limenih, Miteku Andualem [1 ]
Mekonnen, Eskedar Getie [2 ]
Birhanu, Frehiwot [3 ]
Jima, Beshada Rago [4 ]
Sisay, Binyam Girma [5 ]
Kassahun, Eskeziaw Abebe [2 ]
Hassen, Hamid Yimam [2 ,6 ]
机构
[1] Univ Gondar, Inst Publ Hlth, Coll Med & Hlth Sci, Dept Epidemiol & Biostat, POB 196, Gondar, Ethiopia
[2] Univ Antwerp, Fac Med & Hlth Sci, Dept Family Med & Populat Hlth, Antwerp, Belgium
[3] Mizan Tepi Univ, Coll Hlth Sci, Sch Publ Hlth, Dept Hlth Serv Management, Mizan Aman, Ethiopia
[4] Addis Ababa Univ, Sch Publ Hlth, Dept Nutr & Dietet, Addis Ababa, Ethiopia
[5] Deakin Univ, Fac Hlth, Sch Exercise & Nutr Sci, Melbourne, Vic, Australia
[6] Flemish Inst Technol Res VITO, VITO Hlth, Mol, Belgium
关键词
TREATMENT OUTCOMES; WOMEN; MORTALITY; CARCINOMA; TRENDS;
D O I
10.1001/jamanetworkopen.2024.10260
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Importance Breast cancer is the most prevalent cancer globally with tremendous disparities both within specific regions and across different contexts. The survival pattern of patients with breast cancer remains poorly understood in sub-Saharan African (SSA) countries. Objective To investigate the survival patterns of patients with breast cancer in SSA countries and compare the variation across countries and over time. Data Sources Embase, PubMed, Web of Science, Scopus, and ProQuest were searched from inception to December 31, 2022, with a manual search of the references. Study Selection Cohort studies of human participants that reported 1-, 2-, 3-, 4-, 5-, and 10-year survival from diagnosis among men, women, or both with breast cancer in SSA were included. Data Extraction and Synthesis Independent extraction of study characteristics by multiple observers was performed using open-source software, then exported to a standard spreadsheet. A random-effects model using the generalized linear mixed-effects model was used to pool data. The Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guideline for reporting was followed. Main Outcome and Measures Survival time from diagnosis. Results Forty-nine studies were included in the review with a sample size ranging from 21 to 2311 (total, 14 459; 196 [1.35%] men, 13 556 [93.75%] women, and 707 [4.90%] unspecified; mean age range, 38 to 71 years), of which 40 were summarized using meta-analysis. The pooled 1-year survival rate of patients with breast cancer in SSA was 0.79 (95% CI, 0.67-0.88); 2-year survival rate, 0.70 (95% CI, 0.57-0.80); 3-year survival rate, 0.56 (95% CI, 0.45-0.67); 4-year survival rate, 0.54 (95% CI, 0.43-0.65); and 5-year survival rate, 0.40 (95% CI, 0.32-0.49). The subgroup analysis showed that the 5-year survival rate ranged from 0.26 (95% CI, 0.06-0.65) for studies conducted earlier than 2010 to 0.47 (95% CI, 0.32-0.64) for studies conducted later than 2020. Additionally, the 5-year survival rate was lower in countries with a low human development index (HDI) (0.36 [95% CI, 0.25-0.49) compared with a middle HDI (0.46 [95% CI, 0.33-0.60]) and a high HDI (0.54 [95% CI, 0.04-0.97]). Conclusions and Relevance In this systematic review and meta-analysis, the survival rates for patients with breast cancer in SSA were higher in countries with a high HDI compared with a low HDI. Enhancing patient survival necessitates a comprehensive approach that involves collaboration from all relevant stakeholders.
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页数:14
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