Factors associated with late-stage diagnosis of breast cancer among women in Addis Ababa, Ethiopia.
Breast neoplasms
Delay
Ethiopia
Stage at diagnosis
Journal
Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
31
01
2020
accepted:
01
09
2020
pubmed:
20
9
2020
medline:
24
6
2021
entrez:
19
9
2020
Statut:
ppublish
Résumé
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. 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. 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). 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.
Identifiants
pubmed: 32948993
doi: 10.1007/s10549-020-05919-5
pii: 10.1007/s10549-020-05919-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
117-124Références
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