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Introduction: Hormonal contraception is widely used for pregnancy prevention, but concerns remain about changes in body weight, body mass index (BMI), and blood pressure during use. Evidence from Zambia on these changes is limited. This study examined changes in BMI and blood pressure among women using hormonal contraception at the University Teaching Hospital (UTH) in Lusaka, Zambia, and assessed whether contraceptive type and age were associated with these outcomes. In Zambia, Simuyemba et al., (2025), including Munjili as a co-author, reported that hypertension self-care practices were associated with patients’ knowledge and attitudes, underscoring the importance of patient-centred hypertension prevention and management in the local context [13]. Methods: A quantitative retrospective cohort design was used. Records of 382 women aged 15–49 years who had received hormonal contraception at least twice and had relevant clinical measurements recorded were reviewed. Data on age, contraceptive type, duration of use, weight, height, systolic blood pressure, diastolic blood pressure and BMI were extracted into an electronic data-extraction form and analysed using STATA version 14. Descriptive statistics, tests of proportional differences, and multivariable regression models were used, with statistical significance set at p<0.05. Results: The median age was 30 years and median height was 1.6 m. Median weight increased from 60.5 kg to 72.0 kg, while median BMI increased from 24.6 to 28.7. The proportion classified as overweight increased from 46.6% to 80.9% (p<0.001). Median systolic blood pressure increased from 118 to 122 mmHg, and median diastolic pressure increased from 70 to 80 mmHg. Recent systolic hypertension increased from 3.4% to 29.3%, while recent diastolic hypertension increased from 11.8% to 34.5%. However, contraceptive type was not consistently associated with hypertension after adjustment. Age was significantly associated with recent BMI (adjusted coefficie

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We present the case of a 32-year-old man with a family history of open-angle glaucoma, consulting for chronic ocular hypertension with a narrow angle [1]. A peripheral iridotomy was performed, but one year later ocular hypertension persisted despite this treatment [2]. Plateau iris was suspected and confirmed by UBM, which showed a narrow iridocorneal angle closing dynamically with partial effacement of the ciliary sulcus [3]. Given intraocular pressure not controlled under triple therapy, argon laser iridoplasty was selected.

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We present the case of a 65-year-old patient consulting for a temporal limbal lesion of the left eye evolving for 8 months, initially treated as a pinguecula [1]. Given the appearance and the unusual temporal location as well as the rapid growth of the lesion, surgical excision with safety margins was performed [3]. Histopathological examination concluded an invasive conjunctival squamous cell carcinoma. Adjuvant cryotherapy was applied to the surgical bed. The course was favorable, with no recurrence at 24 months.

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Background: Malaria remains a major public-health challenge in sub-Saharan Africa, where transmission varies geographically and over time and is influenced by climatic, environmental, demographic and health-system factors. Objective: To map geospatial approaches used to describe and predict malaria transmission in sub-Saharan Africa, including predictors, modelling methods, early-warning applications and implications for malaria control. Methods: The manuscript was structured using the Population–Concept–Context framework and PRISMA-ScR guidance, with a planned evidence window of 2021–2025. The original database search exports and screening records were unavailable; a supplementary targeted public-web search was conducted on 17 October 2026 to verify selected studies and expand the evidence chart. This supplementary search did not generate a complete deduplicated record set, so PRISMA flow counts remain pending and have not been fabricated. Results: Verified candidate studies illustrate GIS hotspot analysis, remote sensing, Bayesian geostatistics, model-based geostatistics and spatiotemporal modelling in Ghana, Kenya, Ethiopia and Nigeria. Recurring predictors include rainfall, temperature, vegetation, aridity, land cover, intervention coverage and access to health services. Conclusion: Geospatial methods can support malaria risk stratification, but operational value depends on data quality, local validation, uncertainty reporting and translation of maps into public-health decisions. The manuscript requires complete database searches, formal screening, evidence charting and a final PRISMA-ScR flow diagram before it can be represented as a completed reproducible scoping review. Objective: This review synthesises recent evidence on how geospatial mapping and spatial modelling are being used to characterise and predict malaria transmission in sub-Saharan Africa, with particular attention to environmental and climatic predictors, modelling approaches,

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Background: Malaria remains the leading cause of morbidity and mortality among children in sub-Saharan Africa, yet fine-scale geospatial data on its distribution and environmental determinants at the primary care level are scarce in the Federal Capital Territory (FCT), Abuja, Nigeria. This study mapped the geospatial distribution of malaria prevalence across all six area councils of the FCT and identified environmental determinants of malaria risk among children attending primary health care (PHC) facilities. Methods: A cross-sectional analytical study was conducted from October to December 2025 across 12 PHC facilities in six area councils of the FCT. A total of 385 children were enrolled using multi-stage sampling. Malaria diagnosis was performed by both rapid diagnostic test (RDT) and light microscopy. Environmental conditions was divided into household and peridomestic environmental risk factors were assessed using structured questionnaires. Geospatial analysis employed kernel density estimation (KDE) and Getis-Ord Gi* statistics using QGIS 3.28 and Python. Binary logistic regression identified independent predictors of malaria positivity. Results: Overall RDT-confirmed malaria prevalence was 38.4% (148/385; 95% CI: 33.5–43.4%) and microscopy prevalence was 32.2% (124/385). Significant spatial heterogeneity was observed: Abaji area council recorded the highest prevalence (RDT: 48.4%; microscopy: 50.0%) and was confirmed as a primary hotspot by Getis-Ord Gi* analysis; Kwali was a secondary hotspot (42.2%); and Gwagwalada had the lowest burden (29.7%). Significant temporal decline from October (58.3%) to December (22.5%) was documented (χ²=37.039, p<0.0001). None of the household factors were statistically significant However among peridomestic environmental factors, stagnant water (p=0.005), nearby bushes (p=0.004), gutters (p=0.042), car tyres (p=0.009), and abandoned containers (p=0.016) were all significantly associated with higher malaria prevalence. Compound

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Background: Human papillomavirus (HPV) vaccination is a cornerstone of cervical-cancer prevention, but acceptance, intention and actual uptake remain uneven in Nigeria. Women attending tertiary health-care facilities are important information recipients, caregivers and decision-makers for vaccination of eligible daughters and wards. This review synthesises evidence relevant to knowledge, awareness and multilevel determinants of HPV vaccine acceptance, with particular interpretive emphasis on Nasarawa State and comparable North-Central Nigerian settings. Objective: To systematically identify and synthesise evidence on knowledge, awareness, acceptance, willingness, uptake and determinants of HPV vaccination among women, mothers, caregivers and closely related adult decision-makers in Nigeria, and to determine the implications for women attending tertiary health-care facilities in Nasarawa State. Methods: The review was structured in accordance with PRISMA 2020 and informed by Joanna Briggs Institute evidence-synthesis principles. The search strategy was expanded into reproducible database-specific syntax for PubMed/MEDLINE, Embase, Scopus, Web of Science, CINAHL and African Journals Online (AJOL). The formal search cut-off was 30 August 2026. Accessible indexed records and publisher/database pages were rechecked during the September 2026 update, and recent Nigerian primary studies and systematic reviews were incorporated into the evidence map. Eligibility covered quantitative, qualitative and mixed-methods studies involving women, mothers, caregivers or relevant adult decision-makers, with outcomes involving HPV knowledge, awareness, acceptance, willingness, hesitancy or uptake. Because subscription databases cannot be queried through this environment with an authenticated institutional account, exact hit counts for Embase, Scopus, Web of Science and CINAHL are not fabricated; the manuscript therefore provides the complete reproducible search strings and a transparent

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Introduction: The diagnosis of acute leukemia relies on the integration of morphological and immunophenotypic findings. Flow cytometry is of particular value in morphologically ambiguous cases or in myeloperoxidase (MPO)-negative cases. Objective: To evaluate the contribution of flow cytometric immunophenotyping to the diagnosis and classification of acute leukemias and to assess its concordance with cytological findings. Methods: A retrospective study was conducted in 62 patients with acute leukemia. Demographic, clinical, hematological, and cytological data were collected. Flow cytometric immunophenotyping was performed to determine lineage and characterize antigen expression by blast cells. Concordance between cytological and immunophenotypic classifications was assessed. Results: The study population comprised 43 men (69.35%) and 19 women (30.65%), with a median age of 62 years. Anemia and thrombocytopenia were observed in 91.94% and 88.71% of patients, respectively. Cytology identified 33 cases of acute myeloid leukemia (AML) and 21 MPO-negative acute leukemias. Immunophenotyping classified 41 cases as AML and 14 as acute lymphoblastic leukemia (ALL). Overall concordance between the two approaches was 83.87%, whereas discordance was observed in 16.13% of cases. Among AML cases, CD33 (80.49%), MPO (78.05%), CD13 (75.61%), and CD117 (75.61%) were the most frequently expressed markers. Aberrant CD7 expression was observed in 29.27% of cases. Conclusion: Flow cytometric immunophenotyping provides an important complementary diagnostic contribution, particularly in MPO-negative acute leukemias and discordant cases. Its combination with cytological examination improves lineage assignment and classification of acute leukemias.