Evidence map›Paper›PMID 42312659›Full record

ArticleInternational journal of cancer2026

Resource-Adapted Triage Strategies for Women Testing HPV Positive With Self-Collected Vaginal Samples in Cameroon.

Micol Murtas, Pierre Vassilakos, Ania Wisniak, Ketty Hu, Marc Arbyn, Gilles W Tankeu Happi, Esther Abatsong, François Marcel Ndam Nsangou, Jean-Christophe Tille, Essia Saiji and 2 more

Abstract read
In one paragraph

Article in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Micol MurtasGynecologic Division, Department of Pediatrics, Gynecology, and Obstetrics, University Hospitals Geneva, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0009-0003-0060-4605
Pierre VassilakosGynecologic Division, Department of Pediatrics, Gynecology, and Obstetrics, University Hospitals Geneva, University of Geneva, Geneva, Switzerland.
Ania WisniakGynecologic Division, Department of Pediatrics, Gynecology, and Obstetrics, University Hospitals Geneva, University of Geneva, Geneva, Switzerland.
Ketty HuGynecologic Division, Department of Pediatrics, Gynecology, and Obstetrics, University Hospitals Geneva, University of Geneva, Geneva, Switzerland.
Marc ArbynUnit of Cancer Epidemiology, Belgian Cancer Centre, Brussels, Belgium.ORCID https://orcid.org/0000-0001-7807-5908
Gilles W Tankeu HappiDepartment of Gynaecology and Obstetrics, Dschang Regional Annex Hospital, Dschang, Cameroon.
Esther AbatsongDepartment of Gynaecology and Obstetrics, Dschang Regional Annex Hospital, Dschang, Cameroon.
François Marcel Ndam NsangouDepartment of Gynaecology and Obstetrics, Dschang Regional Annex Hospital, Dschang, Cameroon.
Jean-Christophe TilleDivision of Clinical Pathology, Diagnostic Department Geneva University Hospitals, Geneva, Switzerland.
Essia SaijiDivision of Clinical Pathology, Diagnostic Department Geneva University Hospitals, Geneva, Switzerland.
Bruno KenfackDepartment of Obstetrics and Gynaecology, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon.
Patrick PetignatGynecologic Division, Department of Pediatrics, Gynecology, and Obstetrics, University Hospitals Geneva, University of Geneva, Geneva, Switzerland.

Funding

Swiss Cancer Research Foundation KFS 5312-02-2021University of Geneva
6 · The paper itself

Abstract

The World Health Organization (WHO) recommends HPV-DNA testing as the primary screening method for cervical cancer in low- and middle-income countries (LMICs), yet guidance on how to triage HPV-positive women remains limited. The 2021 WHO guidelines for LMICs do not incorporate extended HPV genotyping, despite its potential to improve risk stratification and support scalable management strategies. This study evaluated screening strategies based on locally available resources for management of HPV-positive women. We retrospectively analyzed data from the 3T study (Test, Triage, and Treat), conducted between 2018 and 2022, which included HPV self-sampling and VIA triage among women aged 30-49 years. For all HPV-positive participants, HPV testing (stratified into five genotype-based risk groups), cytology, VIA, cervical-biopsy, and endocervical-brush histopathology were available. Thirty-five screening and triage strategies integrating HPV extended genotyping alone or in combination with VIA or cytology were assessed using CIN3+ risk as a guiding principle. Among 868 HPV-positive women, 9% had CIN3+ lesions. HPV types 31/33/35/52/58 were most prevalent, whereas HPV16 and HPV18/45 carried the highest CIN3+ risks. Strategies combining extended genotyping with cytology demonstrated the best balance of sensitivity and specificity. In settings without access to cytology or VIA, direct treatment of the eight highest-risk HPV types, 16/18/45/31/33/35/52/58, showed the best balance between sensitivity and specificity. When cytology or VIA was available, immediate treatment for HPV16 and reflex triage, cytology (treating ≥ ASCUS lesions), or VIA for HPV18/45/31/33/35/52/58 showed the best trade-off. The proposed screening strategies enable risk-adapted triage and guide management decisions based on available resources.

Indexed as

Human Papillomavirus VirusesPapillomaviridaePapillomavirus InfectionsTriageUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultCameroonDNA, ViralEarly Detection of CancerFemaleGenotypeHumansMiddle AgedRetrospective StudiesSpecimen HandlingDNA, Viralcervical cancer screeningextended genotypinghuman papillomavirusresource‐adapted strategiesrisk‐based management

Identifiers

PMID42312659
PMCPMC13495884

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Registered trials

None linked

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.