Evidence map›Paper›PMID 38834848›Full record

ArticleNature medicine2024

Cervical cancer screening using DNA methylation triage in a real-world population.

Lena Schreiberhuber, James E Barrett, Jiangrong Wang, Elisa Redl, Chiara Herzog, Charlotte D Vavourakis, Karin Sundström, Joakim Dillner, Martin Widschwendter

Abstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Clinical value of combinedOncology reviews · 2026
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4 more citing papers are in PubMed but not listed here.

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

9 authors.

Lena Schreiberhuber *European Translational Oncology Prevention and Screening Institute, Hall in Tirol, Austria.
James E Barrett *European Translational Oncology Prevention and Screening Institute, Hall in Tirol, Austria.
Jiangrong Wang *Center for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Elisa RedlEuropean Translational Oncology Prevention and Screening Institute, Hall in Tirol, Austria.ORCID 0000-0001-6540-8443
Chiara HerzogEuropean Translational Oncology Prevention and Screening Institute, Hall in Tirol, Austria.ORCID 0000-0002-1572-498X
Charlotte D VavourakisEuropean Translational Oncology Prevention and Screening Institute, Hall in Tirol, Austria.ORCID 0000-0002-5027-2309
Karin SundströmCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6865-0224
Joakim DillnerCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8588-6506
Martin WidschwendterEuropean Translational Oncology Prevention and Screening Institute, Hall in Tirol, Austria. martin.widschwendter@uibk.ac.at.ORCID 0000-0002-7778-8380

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 874662
6 · The paper itself

Abstract

Cervical cancer (CC) screening in women comprises human papillomavirus (HPV) testing followed by cytology triage of positive cases. Drawbacks, including cytology's low reproducibility and requirement for short screening intervals, raise the need for alternative triage methods. Here we used an innovative triage technique, the WID-qCIN test, to assess the DNA methylation of human genes DPP6, RALYL and GSX1 in a real-life cohort of 28,017 women aged ≥30 years who attended CC screening in Stockholm between January and March 2017. In the analysis of all 2,377 HPV-positive samples, a combination of WID-qCIN (with a predefined threshold) and HPV16 and/or HPV18 (HPV16/18) detected 93.4% of cervical intraepithelial neoplasia grade 3 and 100% of invasive CCs. The WID-qCIN/HPV16/18 combination predicted 69.4% of incident cervical intraepithelial neoplasia grade 2 or worse compared with 18.2% predicted by cytology. Cytology or WID-qCIN/HPV16/18 triage would require 4.1 and 2.4 colposcopy referrals to detect one cervical intraepithelial neoplasia grade 2 or worse, respectively, during the 6 year period. These findings support the use of WID-qCIN/HPV16/18 as an improved triage strategy for HPV-positive women.

Indexed as

DNA MethylationEarly Detection of CancerHuman papillomavirus 16Papillomavirus InfectionsTriageUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultAgedColposcopyFemaleHuman papillomavirus 18HumansMiddle AgedSweden

Identifiers

PMID38834848
PMCPMC11333274

What OpenQuestion holds

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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.