Evidence map›Paper›PMID 41459991›Full record

ArticleInternational journal of cancer2026

Cancer detection using human papillomavirus self-sampling targeting long-term non-attenders in an organized cervical screening program.

K Miriam Elfström, Maria Hortlund, Daniel Öhman, Joakim Dillner

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

K Miriam ElfströmCenter for Cervical Cancer Elimination, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-0514-7226
Maria HortlundCenter for Cervical Cancer Elimination, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.
Daniel ÖhmanUnit for Cancer Screening, Regional Cancer Center of Stockholm-Gotland, Stockholm, Sweden.
Joakim DillnerCenter for Cervical Cancer Elimination, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-8588-6506

Funding

NordForsk 62721Swedish Association of Local Authorities and Regions and the Stockholm County Council
6 · The paper itself

Abstract

Self-sampling for human papillomavirus (HPV) is an established strategy to increase participation in cervical screening. We previously reported a randomized trial targeting women who had not attended screening after >10 invitations, where sending of self-sampling kits resulted in a 19% attendance and a positive predictive value (PPV) for high grade lesions (HSIL+) of 40%, despite no triaging after the HPV test. Because of the striking results, the intervention was extended to all women resident in Stockholm County, Sweden, in the years 2019/20, who had not attended screening >10 years (N = 42,409). Participation was 35.6% and 11.6% of the participating women were HPV-positive. Among these, there were 43 cases of invasive cervical cancer and 319 cases of high-grade lesions. The PPV was particularly high for HPV16/18 positive women (12% for invasive cancer and 59% for HSIL). In summary, participation with HPV self-sampling among long-term non-attenders in the real-life program was considerably higher than in the research setting and the high yield of HSIL+ implied high effectiveness.

Indexed as

Early Detection of CancerPapillomaviridaePapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultAgedFemaleHuman Papillomavirus VirusesHumansMass ScreeningMiddle AgedSelf CareSpecimen HandlingSwedenVaginal SmearscancerHPVhuman papillomavirusscreeningself‐sampling

Identifiers

PMID41459991
PMCPMC12996729

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.