Factors contributing to late presentation of breast cancer in Africa: a systematic literature review

Background: Over 50% of people diagnosed with breast cancer in most African countries present late and report to the hospital with advanced stage III and IV disease, a major reason for the poor survival rate. This study reviewed studies focusing on patient-related factors or reasons contributing to the late presentation or delayed diagnosis of breast cancer in Africa. Method: A rigorous literature search was conducted with search terms “Breast Neoplasms” AND “Late Presentation” OR “Delayed Diagnosis” AND “Africa” OR “the name of any of the African countries” within CINAHL, African Index Medicus, MEDLINE, Web of Science and PsycINFO electronic databases. Additional hand searching of reference lists of included articles was conducted. A thematic synthesis was conducted. Result: Of the eighty-two studies identified, nine were eligible and included in the review. Studies included were conducted in Egypt, Nigeria, Ghana, Kenya and Libya. The factors identified as contributing to late presentation of breast cancer among most African women were negative symptom interpretation, fear, belief in alternative medicine, social relations and networks, lack of trust and confidence in orthodox medicine, and access to healthcare. Conclusion: A complex matrix of factors were identified that contribute to the late presentation or delayed diagnosis of breast cancer among most African women. The orthodox medical system in most African countries is gradually losing their relationship and credibility because of false reassurance, frequent misdiagnosis and strike actions, which is leading to late presentation of breast cancer

Quality of life among cervical cancer patients undergoing radiotherapy.

IntroductionThere has been an increasing rate of the incidence and mortality of cervical cancer in Ghana. Cancer and the treatment's side effects have adverse effects on the patients and this affects patient's well-being and lifestyle during and after radiotherapy. The study sought to assess the impact of demographic and clinical characteristics on Quality of Life (QoL) among cervical cancer patients undergoing radiotherapy in Ghana.MethodsA cross sectional quantitative study design was carried out on 120 cervical cancer patients who were conveniently sampled from the study site. The data was collected between the months of December, 2017 and February, 2018. QoL was measured using the FACT-G questionnaire. The mean scores of QoL were determined, whiles the chi-square test was used to determine the impact of socio-demographic and clinical characteristics on the QoL of the patients.ResultsThe mean age of the patients was 56.8 years. Majority of the patients reported stable QoL. The social well-being of the older patients was more affected than other patients. The unmarried, widows and patients who underwent surgery with radiotherapy were emotionally affected. Majority (56%) of the participants had stable QoL whiles 22% each had poor and good QoL. Significant association was found among 35-39 age group with physical well-being and overall QoL (p=0.017 and 0.029) respectively.ConclusionThere is a need to embrace a QoL assessment instrument in the study site so as to help the oncology team in the identification and addressing of specific indicators that affect the QoL of cervical cancer patients

Factors contributing to delays in diagnosis of breast cancers in Ghana, West Africa

BACKGROUND: Late diagnoses and poor prognoses of breast cancer are common throughout Africa. METHODS: To identify responsible factors, we utilized data from a population-based case-control study involving 1,184 women with breast malignancies conducted in three hospitals in Accra and Kumasi, Ghana. Interviews focused on potential breast cancer risk factors as well as factors that might contribute to presentation delays. We calculated odds ratios (OR) and 95% confidence intervals (CI) comparing malignances with biopsy masses larger than 5 cm. (62.4% of the 1,027 cases with measurable lesions) to smaller lesions. RESULTS: In multivariate analyses, strong predictors of larger masses were limited education (OR=1.96, 95% CI 1.32–2.90 <primary vs. ≥senior secondary school), being separated/divorced or widowed (1.75, 1.18–2.60 and 2.25, 1.43–3.55, respectively, vs. currently married), delay in care seeking after onset of symptoms (2.64, 1.77–3.95 for ≥12 vs. ≤2 months), care having initially been sought from someone other than a doctor/nurse (1.86, 0.85–4.09), and frequent use of herbal medications/treatment (1.51, 0.95–2.43 for ≥3x/day usage vs. none),. Particularly high risks associated with these factors were found among less educated women; for example, women with less than junior secondary schooling who delayed seeking care for breast symptoms for 6 months or longer were at nearly 4-times the risk of more educated women who promptly sought assistance. CONCLUSIONS: Our findings suggest that additional communication, particularly among less educated women, could promote earlier breast cancer diagnoses. Involvement of individuals other than medical practitioners, including traditional healers, may be helpful in this process

Associations of fecal microbial profiles with breast cancer and non-malignant breast disease in the Ghana Breast Health Study

The gut microbiota may play a role in breast cancer etiology by regulating hormonal, metabolic and immunologic pathways. We investigated associations of fecal bacteria with breast cancer and nonmalignant breast disease in a case-control study conducted in Ghana, a country with rising breast cancer incidence and mortality. To do this, we sequenced the V4 region of the 16S rRNA gene to characterize bacteria in fecal samples collected at the time of breast biopsy (N = 379 breast cancer cases, N = 102 nonmalignant breast disease cases, N = 414 population-based controls). We estimated associations of alpha diversity (observed amplicon sequence variants [ASVs], Shannon index, and Faith's phylogenetic diversity), beta diversity (Bray-Curtis and unweighted/weighted UniFrac distance), and the presence and relative abundance of select taxa with breast cancer and nonmalignant breast disease using multivariable unconditional polytomous logistic regression. All alpha diversity metrics were strongly, inversely associated with odds of breast cancer and for those in the highest relative to lowest tertile of observed ASVs, the odds ratio (95% confidence interval) was 0.21 (0.13-0.36; Ptrend &lt; .001). Alpha diversity associations were similar for nonmalignant breast disease and breast cancer grade/molecular subtype. All beta diversity distance matrices and multiple taxa with possible estrogen-conjugating and immune-related functions were strongly associated with breast cancer (all Ps &lt; .001). There were no statistically significant differences between breast cancer and nonmalignant breast disease cases in any microbiota metric. In conclusion, fecal bacterial characteristics were strongly and similarly associated with breast cancer and nonmalignant breast disease. Our findings provide novel insight into potential microbially-mediated mechanisms of breast disease

A qualitative study of culturally embedded factors in complementary and alternative medicine use

Abstract Background Within the intercultural milieu of medical pluralism, a nexus of worldviews espousing distinct explanatory models of illness, our research aims at exploring factors leading to complementary and alternative medicine (CAM) use with special attention to their cultural context. Methods The results are based on medical anthropological fieldwork (participant observation and in-depth interviews) spanning a period from January 2015 to May 2017 at four clinics of Traditional Chinese Medicine in Budapest, Hungary. Participant observation involved 105 patients (males N = 42); in-depth interviews were conducted with patients (N = 9) and practitioners (N = 9). The interviews were coded with Interpretative Phenomenological Analysis; all information was aggregated employing Atlas.ti software. Results In order to avoid the dichotomization of “push and pull factors,” results obtained from the fieldwork and interviews were structured along milestones of the patient journey. These points of reference include orientation among sources of information, biomedical diagnosis, patient expectations and the physician-patient relationship, the biomedical treatment trajectory and reasons for non-adherence, philosophical congruence, and alternate routes of entry into the world of CAM. All discussed points which are a departure from the strictly western therapy, entail an underlying socio-cultural disposition and must be scrutinized in this context. Conclusions The influence of one’s culturally determined explanatory model is ubiquitous from the onset of the patient journey and exhibits a reciprocal relationship with subjective experience. Firsthand experience (or that of the Other) signifies the most reliable source of information in matters of illness and choice of therapy. Furthermore, the theme of (building and losing) trust is present throughout the patient journey, a determining factor in patient decision-making and dispositions toward both CAM and biomedicine

Recruiting population controls for case-control studies in sub-Saharan Africa:The Ghana Breast Health Study

BackgroundIn case-control studies, population controls can help ensure generalizability; however, the selection of population controls can be challenging in environments that lack population registries. We developed a population enumeration and sampling strategy to facilitate use of population controls in a breast cancer case-control study conducted in Ghana.MethodsHousehold enumeration was conducted in 110 census-defined geographic areas within Ghana’s Ashanti, Central, Eastern, and Greater Accra Regions. A pool of potential controls (women aged 18 to 74 years, never diagnosed with breast cancer) was selected from the enumeration using systematic random sampling and frequency-matched to the anticipated distributions of age and residence among cases. Multiple attempts were made to contact potential controls to assess eligibility and arrange for study participation. To increase participation, we implemented a refusal conversion protocol in which initial non-participants were re-approached after several months.Results2,528 women were sampled from the enumeration listing, 2,261 (89%) were successfully contacted, and 2,106 were enrolled (overall recruitment of 83%). 170 women were enrolled through refusal conversion. Compared with women enrolled after being first approached, refusal conversion enrollees were younger and less likely to complete the study interview in the study hospital (13% vs. 23%). The most common reasons for non-participation were lack of interest and lack of time.ConclusionsUsing household enumeration and repeated contacts, we were able to recruit population controls with a high participation rate. Our approach may provide a blue-print for others undertaking epidemiologic studies in populations that lack accessible population registries.</div

Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women.

Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 cases and 105974 controls) from the Breast Cancer Association Consortium. The approach identifies four loci for overall breast cancer risk [1p13.3, 5q31.1, 15q24 (two independent signals), and 15q26.3] and two loci for estrogen receptor-negative disease (1q41 and 7q11.23) at genome-wide significance. Four of the index single nucleotide polymorphisms (SNPs) lie within introns of genes (KCNK2, C5orf56, SCAMP2, and SIN3A) and the other index SNPs are located close to GSTM4, AMPD2, CASTOR2, and RP11-168G16.2. Here we present risk loci with consistent direction of associations in African and European descendants. The study suggests that replication across multiple ancestry populations can help improve the understanding of breast cancer genetics and identify causal variants