Background: The help-seeking interval and primary-care interval are points of delays in breast cancer presentation. To inform future intervention targeting early diagnosis of breast cancer, we described the contribution of each interval to the delay and the impact of delay on tumor progression. Method: We conducted a multicentered survey from June 2017 to May 2018 hypothesizing that most patients visited the first healthcare provider within 60 days of tumor detection. Inferential statistics were by t-test, chi-square test, and Wilcoxon-Signed Rank test at p-value 0.05 or 95% confidence limits. Time-to-event was by survival method. Multivariate analysis was by logistic regression. Results: Respondents were females between 24 and 95 years (n = 420). Most respondents visited FHP within 60 days of detecting symptoms (230 (60, 95% CI 53-63). Most had long primary-care (237 of 377 (64 95% CI 59-68) and detectionto-specialist (293 (73% (95% CI 68-77)) intervals. The primary care interval (median 106 days, IQR 13-337) was longer than the help-seeking interval (median 42 days, IQR 7-150) Wilcoxon signed-rank test p = 0.001. There was a strong correlation between the length of primary care interval and the detection-to-specialist interval (r = 0.9, 95% CI 0.88-0.92). Patronizing the hospital, receiving the correct advice, and having a big tumor (> 5 cm) were associated with short intervals. Tumors were detected early, but most became advanced before arriving at the specialist clinic. The difference in tumor size between detection and arriving at a specialist clinic was 5.0 ± 4.9 cm (95% CI 4.0-5.0). The hazard of progressing from early to locally advanced disease was least in the first 30 days (3%). The hazard was 31% in 90 days. Conclusion: Most respondents presented early to the first healthcare provider, but most arrived late at a specialist clinic. The primary care interval was longer than the help-seeking interval. Most tumors were early at detection but locally advanced before arriving in a specialist clinic. Interventions aiming to shorten the primary care interval will have the most impact on time to breast cancer presentation for specialist oncology care in Nigeria.

PURPOSE The prevalence of themes linked to delay in presentation of breast cancer (BC) and their underlying factors vary considerably throughout Africa. Regional differences and trends are largely unreported. The purpose of this research was to provide summary estimates of the prevalence and distribution of the themes and underlying factors linked to delay in the presentation of BC, regional variation, and trends in an effort to identify targets for intervention. DESIGN We screened articles found through PubMed/Medline, African Journal OnLine, Science Direct, Google/Google Scholar, and ResearchGate. We included patient-reported surveys on the reasons linked to delayed presentation under 6 previously identified themes: symptom misinterpretation, fear, preference for alternative care, social influence, hospital-related factors, and access factors. The meta-analytical procedure in MetaXL used the quality-effect model. RESULTS Twelve of the 236 identified articles were eligible for this review. The overall summary estimate of late presentation (> 90 days) was 54% (95% CI, 23 to 85) and was worst in the eastern and central regions. Symptom misinterpretation was the most common theme (50%; 95% CI, 21 to 56), followed by fear (17%; 95% CI, 3 to 27), hospital-related theme (11%; 95% CI, 1 to 21), preference for alternative care (10%; 95% CI, 0 to 21), social influence (7%; 95% CI, 0 to 14), and access-related theme (6%; 95% CI, 0 to 13). The most common factor underlying symptom misinterpretation was mischaracterizing the breast lesion as benign (60%; 95% CI, 4 to 100) which surpassed lack of awareness in the last decade. Misdiagnosis and failure to refer were the dominant hospital-related factors. CONCLUSION Modifiable factors such as mischaracterizing malignant masses as benign, fear, misdiagnosis, and failure to refer were the prevalent factors contributing to delays throughout Africa. These factors are promising targets for intervention.

Background:Breast imaging plays a vital role in the multidisciplinary approach to management of breast disease. A baseline data is apt and necessary for collaborative studies.Materials and Methods:This is a prospective descriptive study carried out between January 2009 and December 2013 at our institution. Patients who had breast imaging were recruited into the study. Film-screen mammograms were acquired with a General Electric (GE) Senographe DMR machine. Breast ultrasound done using an Aloka Prosound SSD-350+ ultrasound machine equipped with linear and curvilinear 7.5–10 MHz transducer. Findings were categorized using the ACR-BIRADS (American college of Radiologists-Breast imaging reporting and data system). Data was collated and analysed using social statistical package (SPSS) version 17.Result:The mammograms of 824 patients were evaluated during this study period. Their age ranged from 40–85 years with a mean age of 50.9 ± 8.1 years. Eight hundred and sixteen (99%) were females and eight (1%) were males. The commonest clinical indication was breast lump (23.9%). The commonest density pattern was BIRADS 2-scattered fibroglandular pattern (43.9%). Mammograms were normal in 266 (32.3%) and positive in 558 (67.7%). The final BIRADS assessment showed BIRADS 0, 1, 2, 3, 4, 5 and 6 constituted 6.6%, 30.1%, 29.7%, 22.2%, 5.9%, 5.0% and 0.5% respectively.Conclusion:The level of awareness of breast cancer is quite high with the positive mammographic yield emphasizing the value of a multidisciplinary approach in the management of breast diseases.

Purpose: Understanding the epidemiology of breast cancer (BC) in Africa, as well as regional variation is essential for planning future intervention. Our objective was to describe summary estimates of socio-demographic and clinical characteristics of BC in Africa, thus providing researchers and policymakers baseline data for planning diagnostic and treatment programs to improve BC outcomes in the future.Method: We screened African publications on BC between 2010 and 2019 in PubMed, AJOL, Google, ScienceDirect, and ResearchGate to estimate the distribution of socio-demographic and clinical tumor characteristics. The meta-analysis used the random effect model. Result: Eighty articles were eligible, including 33,199 total patients. Overall, 58% of patients were <50 years old. In East Africa, 38% (95% CI 31-45) were diagnosed before 40 years. Conversely, in Southern Africa, 37% were diagnosed after 60 years, with Caucasian-like age distribution. The overall prevalence of male BC was high (3%), with East Africa having the highest prevalence (5% (95% CI 5.0-6.0)). Only 2% (95% CI 1-2) of patients were diagnosed with carcinoma-in-situ. Invasive tumors were 7% stage I, 26% stage II, 50% stage III, and 17% stage IV. Seventy per-cent (95% CI 60-80) had clinical nodal involvement. The smallest tumors were in North Africa. The largest and most advanced tumors were in West Africa. Trend analysis showed decreasing age, an increasing population of unmarried BC patients, a relatively high proportion of uneducated BC patients, and a stable proportion of late-stage disease in the last decade. Conclusion: Regional variation in the presentation of BC throughout Africa necessitates region/country-specific targets for improving BC control.

Background/Objective: Breast cancer (BC) mortality is exceptionally high in Africa due to late presentation and advanced-stage diagnosis. Previous studies examining barriers to early BC presentation are markedly inconsistent, showing conflicting findings within and between African regions, making resource allocation and designing interventional campaigns challenging. Our objective was to assess the strength or magnitude of the association between determinants/ risk factors and delayed presentation/advanced-stage diagnosis of BC in Africa. Methods: Electronic searches in PubMed, AJOL, Google, ResearchGate, ScienceDirect, and PubMed Central found eligible articles between 2000 and 2020. The meta-analytical procedure in Meta-XL used the quality effect model. I-squared (I 2 ) above 75% indicated high heterogeneity. The summary effect size was the odds ratio with 95% confidence intervals. Results: The effect of socio-economic and demographic determinants on delay varies across African regions. Low level of education (1.63, 95% CI 1.01-2.63), and not performing breast self examination (BSE) (13.59, 95% CI 3.33-55.4) were significantly associated with delayed presentation. Younger patients had more significant delays in West Africa (WA, 1.41, 95%CI 1.08-1.85), and the reverse occurred in North Africa (0.68, 95%CI 0.48-0.97). Lack of BC knowledge (1.59, 95% CI 1.29-1.97), not performing BSE, or no history of undergoing clinical breast examination (CBE) (2.45, 95% CI 1.60-3.40), were associated with advanced-stage disease at diagnosis. Older patients had significantly more advanced disease in WA, and the reverse occurred in South Africa. Aggressive molecular BC subtypes [Triple negative (OR 1.62, 95% CI 1.27-2.06) or HER2 positive (1.56, 95% CI 1.10-2.23)] were significant determinants of advanced-stage diagnosis. Conclusion: Promoting early presentation and reducing advanced-stage BC throughout Africa should focus on modifiable factors, including providing quality education, improving breast health awareness and BC knowledge, and developing strategies to increase BSE and CBE. Interventions targeting socio-demographic determinants should be context-specific.