Evidence map›Paper›PMID 40539880›Full record

ArticleInternational journal of cancer2025

Understanding delays in breast cancer diagnosis in Africa: Key insights and contributing factors.

Liza A Hoveling, Lynn P Heuken, Thachita Harfst, Melinda S Schuurman, Kristel M van Asselt, Sabine Siesling, Christina Bode

Abstract read
In one paragraph

Article in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Liza A HovelingDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.ORCID 0000-0003-1093-1119
Lynn P HeukenDepartment of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands.
Thachita HarfstDepartment of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands.
Melinda S SchuurmanDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.ORCID 0000-0003-4229-8821
Kristel M van AsseltDepartment of General Practice and Nursing Science, UMC Utrecht, Utrecht, The Netherlands.
Sabine SieslingDepartment of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Christina BodeDepartment of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Africa has the highest age-standardized breast cancer (BC) mortality rates, largely due to diagnostic delays. Therefore, this scoping review aims to identify individual-level factors that contribute to diagnostic delay of BC in African women. We conducted a global scoping review on cancer diagnostic delays in women, following PRISMA-ScR guidelines. In this scoping review, diagnostic delay is defined as the time from first symptom recognition to pathological diagnosis. Qualitative and quantitative studies involving cancer patients or healthcare professionals published between 2018 and November 28, 2023, were included. We searched PubMed/MEDLINE and Scopus, excluding non-English studies and those focused solely on screening. Two reviewers independently screened titles, full texts, and extracted data. Disagreements were resolved by discussion. Consultations followed Arksey and O'Malley's framework, with input from a general practitioner, psychologist, and epidemiologist. Factors were classified using Bronfenbrenner's ecological model to analyze BC diagnostic delays in Africa. Of 9699 studies, 128 were relevant; 30 focused on African BC patients. Delays were linked to microsystem factors: lack of awareness, fear, young age, low education, finances, mesosystem factors: family duties, limited access, delayed care, symptom disclosure, exosystem factors: traditional healers, mistrust, referral inefficiencies, and macrosystem factors: religious beliefs, education gaps, cultural norms. Diagnostic delays in women with BC in Africa are mainly due to low awareness, cultural beliefs, and reliance on traditional healers. Expanding current interventions and integrating them into healthcare systems, along with engaging religious leaders, is important. Future research should focus on culturally tailored strategies to improve early detection and outcomes.

Indexed as

Breast NeoplasmsDelayed DiagnosisEarly Detection of CancerAfricaFemaleHealth Knowledge, Attitudes, PracticeHumansAfrican countriesbreast cancerBronfenbrenner's ecological modeldiagnostic delayslow and middle income countries

Identifiers

PMID40539880
PMCPMC12407049

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.