ArticleJCO global oncology2023
Population-Level Access to Breast Cancer Early Detection and Diagnosis in Nigeria.
Article in JCO global oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Neoadjuvant chemotherapy in women with triple-negative breast cancer: real world results from Western Kenya.The oncologist · 2026Article
- A cross-sectional study of coping strategies among a sample of women with breast cancer in South-South, Nigeria.BMC cancer · 2026Article
- Cost-effectiveness analysis of mammography screening for early detection of breast cancer in Nigeria.PloS one · 2026Article
- Co-producing a media campaign intervention to encourage Nigeria women's engagement in early presentation to breast cancer screening: a qualitative study.Frontiers in public health · 2026Article
- PI3K/Akt/mTOR pathway expression profiling reveals age- and subtype-specific molecular heterogeneity in the Nigerian breast cancer landscape.Frontiers in oncology · 2026Article
- Age-specific patterns of breast cancer in Nigerian women unraveled through histological analysis.Scientific reports · 2025Article
- Current Status of Cancer Diagnosis and Treatment in Nigeria.Health science reports · 2025Article
- Unlocking insights: exploring mammography beliefs among Teshie community mothers - a qualitative exploratory descriptive study.BMJ open · 2025Article
- Nigeria's 6-year (2018-2023) stage distribution of breast cancer at diagnosis: a systematic review and meta-analysis.Ecancermedicalscience · 2025Review
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 3 countries.
Funding
Abstract
purposeMammography, breast ultrasound (US), and US-guided breast biopsy are essential services for breast cancer early detection and diagnosis. This study undertook a comprehensive evaluation to determine population-level access to these services for breast cancer early detection and diagnosis in Nigeria using a previously validated geographic information system (GIS) model.
methodsA comprehensive list of public and private facilities offering mammography, breast US, and US-guided breast biopsy was compiled using publicly available facility data and a survey administered nationally to Nigerian radiologists. All facilities were geolocated. A cost-distance model using open-source population density (GeoData Institute) and road network data (OpenStreetMap) was used to estimate population-level travel time to the nearest facility for mammography, breast US, and US-guided biopsy using GIS software (ArcMAP).
resultsIn total, 1,336 facilities in Nigeria provide breast US, of which 47.8% (639 of 1,336) are public facilities, and 218 provide mammography, of which 45.4% (99 of 218) are public facilities. Of the facilities that provide breast US, only 2.5% (33 of 1,336) also provide US-guided breast biopsy. At the national level, 83.1% have access to either US or mammography and 61.7% have access to US-guided breast biopsy within 120 minutes of a continuous one-way travel. There are differences in access to mammography (64.8%
conclusionTo our knowledge, this is the first comprehensive evaluation of breast cancer detection and diagnostic services in Nigeria, which demonstrates geospatial inequalities in access to mammography and US-guided biopsy. Targeted investment is needed to improve access to these essential cancer care services in the northern region and the North East geopolitical zone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.