Interventions to close the divide for women with breast and cervical cancer between low-income and middle-income countries and high-income countries
Abstract
Breast and cervical cancers are the commonest cancers diagnosed in women living in low-income and middle-income countries (LMICs), where opportunities for prevention, early detection, or both, are few. Yet several cost-effective interventions could be used to reduce the burden of these two cancers in resource-limited environments. Population- wide vaccination against human papillomavirus (HPV) linked to cervical screening, at least once, for adult women has the potential to reduce the incidence of cervical cancer substantially. Strategies such as visual inspection with acetic acid and testing for oncogenic HPV types could make prevention of cervical cancer programmatically feasible. These two cancers need not be viewed as inevitably fatal, and can be cured, particularly if detected and treated at an early stage. Investing in the health of girls and women is an investment in the development of nations and their futures. Here we explore ways to lessen the divide between LMICs and high-income countries for breast and cervical cancers.
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The hrHPV DNA test has been considered a very cost-effective option for low- and middle-income countries and is generally considered feasible if all screen-positive women receive treatment.
“The hrHPV DNA test has been considered a very cost-effective option for low- and middle-income countries and is generally considered feasible if all screen-positive women receive treatment [13].”
From A community‐based, cross‐sectional study of hr<scp>HPV DNA</scp> self‐sampling‐based cervical cancer screening in rural Karnataka, India (2019) · cites this paper as [13]
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- Authors
- Denny, L., de Sanjose, S., Mutebi, M., Anderson, B. O., Kim, J., Jeronimo, J., Herrero, R., Yeates, K., Ginsburg, O., & Sankaranarayanan, R.
- Affiliations
- University of Cape Town (ZA)
- University of Washington (US)
- Harvard University (US)
- Centre international de recherche sur le cancer (FR)
- Queen's University (CA)
- University of Toronto (CA)
- Corresponding author
- Denny, Lynette
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 389
- Issue
- 10071
- Pages
- 861-870
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2547627917
- Cited by
- 246
- References
- 83
- Citations by year
- 2026: 23 · 2025: 20 · 2024: 25 · 2023: 23 · 2022: 23 · 2021: 18 · 2020: 31 · 2019: 32 · 2018: 29 · 2017: 17 · 2016: 5
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- eCommons - AKU (Aga Khan University) (submittedVersion)
- Funders
- World Health Organization
- Susan G. Komen
- Topics
- Health Sciences › Medicine › Epidemiology › Cervical Cancer and HPV Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Women's cancer prevention and management
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- breast cancer, cervical cancer, low- and middle-income countries, global health equity, HPV vaccination, cervical cancer screening, visual inspection with acetic acid, HPV testing, cancer prevention, early detection, cost-effective interventions, resource-limited settings
- MeSH terms
- Uterine Cervical Neoplasms, Developing Countries, Female, Humans, Income, Poverty, Developed Countries, Papillomavirus Infections, Papillomavirus Vaccines, Early Detection of Cancer
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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