Alem Gebremariam1,2, Nebiyu Dereje3,4, Adamu Addissie4, Alemayehu Worku4, Mathewos Assefa5, Aynalem Abreha5, Wondemagegnehu Tigeneh5, Lydia E Pace6, Eva Johanna Kantelhardt7, Ahmedin Jemal8. 1. Department of Public Health, College of Medicine and Health Sciences, Adigrat University, Adigrat, Ethiopia. alemg25@gmail.com. 2. Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. alemg25@gmail.com. 3. Department of Public Health, College of Medicine and Health Sciences, Wachemu University, Hossana, Ethiopia. 4. Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. 5. Radiotherapy Center, Tikur Anbessa Specialized Hospital, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia. 6. Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA. 7. Institute for Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University, Halle-Wittenberg Halle, Germany. 8. Surveillance and Health Services Research, American Cancer Society, Atlanta, GA, USA.
Abstract
PURPOSE: Stage at diagnosis is a key determinant of breast cancer prognosis. In this study, we characterize stage at diagnosis and determine factors associated with advanced stage at diagnosis among women diagnosed with invasive breast cancer in Addis Ababa, capital city of Ethiopia. METHODS: Stage information was collected from medical records of 441 women with invasive breast cancer seen in seven major health facilities in Addis Ababa, from January 2017 to June 2018; these seven facilities capture 90% of all incident breast cancer cases in the city. We used multivariable Poisson regression model with robust variance to determine factors associated with advanced stage at diagnosis. RESULTS: The predominant tumor histology was ductal carcinoma (83.7%). More than half of the tumors' grade was moderately or poorly differentiated. The median tumor size at presentation was 4 cm. Sixty-four percent of the patients were diagnosed at advanced stage of the disease (44% stage III and 20% stage IV), with 36% of the patients diagnosed at early-stage (5% stage I and 31% stage II). The prevalence of advanced stage disease was significantly higher among women who used traditional medicine before diagnostic confirmation (adjusted prevalence ratio [aPR] = 1.31; p = 0.001), had patient delay of > 3 months (aPR = 1.16; p = 0.042) and diagnosis delay of > 2 months (aPR = 1.24; p = 0.004). But it was lower among women who had history of breast self-examination (aPR = 0.77; p = 0.021). CONCLUSIONS: Advanced stage at diagnosis of breast cancer among women in Addis Ababa is strongly associated with use of traditional medicine and with prolonged time interval between symptom recognition and disease confirmation. Community- and health systems-level interventions are needed to enhance knowledge about breast cancer and facilitate timely diagnoses.
PURPOSE: Stage at diagnosis is a key determinant of breast cancer prognosis. In this study, we characterize stage at diagnosis and determine factors associated with advanced stage at diagnosis among women diagnosed with invasive breast cancer in Addis Ababa, capital city of Ethiopia. METHODS: Stage information was collected from medical records of 441 women with invasive breast cancer seen in seven major health facilities in Addis Ababa, from January 2017 to June 2018; these seven facilities capture 90% of all incident breast cancer cases in the city. We used multivariable Poisson regression model with robust variance to determine factors associated with advanced stage at diagnosis. RESULTS: The predominant tumor histology was ductal carcinoma (83.7%). More than half of the tumors' grade was moderately or poorly differentiated. The median tumor size at presentation was 4 cm. Sixty-four percent of the patients were diagnosed at advanced stage of the disease (44% stage III and 20% stage IV), with 36% of the patients diagnosed at early-stage (5% stage I and 31% stage II). The prevalence of advanced stage disease was significantly higher among women who used traditional medicine before diagnostic confirmation (adjusted prevalence ratio [aPR] = 1.31; p = 0.001), had patient delay of > 3 months (aPR = 1.16; p = 0.042) and diagnosis delay of > 2 months (aPR = 1.24; p = 0.004). But it was lower among women who had history of breast self-examination (aPR = 0.77; p = 0.021). CONCLUSIONS: Advanced stage at diagnosis of breast cancer among women in Addis Ababa is strongly associated with use of traditional medicine and with prolonged time interval between symptom recognition and disease confirmation. Community- and health systems-level interventions are needed to enhance knowledge about breast cancer and facilitate timely diagnoses.
Entities:
Keywords:
Breast neoplasms; Delay; Ethiopia; Stage at diagnosis
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