Evidence map›Paper›PMID 38788756›Full record

ArticleThe Lancet. Global health2024

Geospatial disparities in survival of patients with breast cancer in sub-Saharan Africa from the African Breast Cancer-Disparities in Outcomes cohort (ABC-DO): a prospective cohort study.

Joanne Kim, Peter M Macharia, Valerie McCormack, Milena Foerster, Moses Galukande, Maureen Joffe, Herbert Cubasch, Annelle Zietsman, Angelica Anele, Shadrach Offiah and 6 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Quality of life among non-metastatic breast cancer survivors in Botswana.Journal of cancer survivorship : research and practice · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Joanne KimEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, WHO, Lyon, France.
Peter M MachariaDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium; Population and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Health Informatics, Computing and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UK.
Valerie McCormackEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, WHO, Lyon, France. Electronic address: mccormackv@iarc.who.int.
Milena FoersterEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, WHO, Lyon, France.
Moses GalukandeCollege of Health Sciences, Makerere University, Kampala, Uganda.
Maureen JoffeStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Herbert CubaschDepartment of Surgery, University of the Witwatersrand, Johannesburg, South Africa.
Annelle ZietsmanAB May Cancer Centre, Windhoek Central Hospital, Windhoek, Namibia.
Angelica AneleFederal Medical Centre, Owerri, Nigeria.
Shadrach OffiahAbia State University Teaching Hospital, Aba, Nigeria.
Groesbeck ParhamDepartment of Obstetrics and Gynecology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Leeya F PinderDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA.
Benjamin O AndersonDepartment of Surgery, University of Washington, Seattle, WA, USA.
Joachim SchüzEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, WHO, Lyon, France.
Isabel Dos Santos-SilvaDepartment of Non-Communicable Diseases Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Kayo TogawaEnvironment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, WHO, Lyon, France; Division of Surveillance and Policy Evaluation, National Cancer Center Institute for Cancer Control, Tokyo, Japan.

Funding

African Breast Cancer - Disparities in Outcomes - Plus (ABC-DO Plus): Ghana mentoring supplementR01CA244559 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI DOS SANTOS SILVA, ISABEL, MCCORMACK, VALERIE · 2020 to 2023
$1.9M
NCI NIH HHS R01 CA244559World Health Organization 001
6 · The paper itself

Abstract

backgroundThere is an urgent need to improve breast cancer survival in sub-Saharan Africa. Geospatial barriers delay diagnosis and treatment, but their effect on survival in these settings is not well understood. We examined geospatial disparities in 4-year survival in the African Breast Cancer-Disparities in Outcomes cohort.

methodsIn this prospective cohort study, women (aged ≥18 years) newly diagnosed with breast cancer were recruited from eight hospitals in Namibia, Nigeria, South Africa, Uganda, and Zambia. They reported sociodemographic information in interviewer-administered questionnaires, and their clinical and treatment data were collected from medical records. Vital status was ascertained by contacting participants or their next of kin every 3 months. The primary outcome was all-cause mortality in relation to rural versus urban residence, straight-line distance, and modelled travel time to hospital, analysed using restricted mean survival time, Cox proportional hazards, and flexible parametric survival models.

findings2228 women with breast cancer were recruited between Sept 8, 2014, and Dec 31, 2017. 127 were excluded from analysis (58 had potentially recurrent cancer, had previously received treatment, or had no follow-up; 14 from minority ethnic groups with small sample sizes; and 55 with missing geocoded home addresses). Among the 2101 women included in analysis, 928 (44%) lived in a rural area. 1042 patients had died within 4 years of diagnosis; 4-year survival was 39% (95% CI 36-42) in women in rural areas versus 49% (46-52) in urban areas (unadjusted hazard ratio [HR] 1·24 [95% CI 1·09-1·40]). Among the 734 women living more than 1 h from the hospital, the crude 4-year survival was 37% (95% CI 32-42) in women in rural areas versus 54% (46-62) in women in urban areas (HR 1·35 [95% CI 1·07-1·71] after adjustment for age, stage, and treatment status). Among women in rural areas, mortality rates increased with distance (adjusted HR per 50 km 1·04, 1·01-1·07) and travel time (adjusted HR per h 1·06, 1·02-1·10). Among women with early-stage breast cancer receiving treatment, women in rural areas had a strong survival disadvantage (overall HR 1·54, 1·14-2·07 adjusted for age and stage; >1 h distance adjusted HR 2·14, 1·21-3·78).

interpretationGeospatial barriers reduce survival of patients with breast cancer in sub-Saharan Africa. Specific attention is needed to support patients with early-stage breast cancer living in rural areas far from cancer treatment facilities.

fundingUS National Institutes of Health (National Cancer Institute), Susan G Komen for the Cure, and the International Agency for Research on Cancer.

Indexed as

Breast NeoplasmsAdultAfrica South of the SaharaAgedFemaleHealthcare DisparitiesHealth Services AccessibilityHumansMiddle AgedProspective StudiesRural PopulationSurvival AnalysisUrban Population

Identifiers

PMID38788756
PMCPMC11168938

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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.