Evidence map›Paper›PMID 30895602›Full record

ArticleInternational journal of cancer2019

Bayesian analysis of baseline risk of CIN2 and ≥CIN3 by HPV genotype in a European referral cohort.

Jesper Bonde, Fabio Bottari, Valentin Parvu, Helle Pedersen, Karen Yanson, Anna D Iacobone, Salma Kodsi, Fabio Landoni, Laurence Vaughan, Ditte M Ejegod and 1 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% of its field
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  8. Identification of apoptosisZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
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  17. Extended Human Papillomavirus Genotyping to Predict Progression to High-Grade Cervical Precancer: A Prospective Cohort Study in the Southeastern United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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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

11 authors at 5 institutions in 3 countries.

Jesper BondeMolecular Pathology Laboratory, Department of Pathology, Copenhagen University, Hvidovre Hospital, Hvidovre, Denmark.ORCID 0000-0003-4853-6747
Fabio BottariLaboratory Medicine Division, European Institute of Oncology, Milan, Italy.
Valentin ParvuBecton Dickinson and Company, Sparks, MD, USA.
Helle PedersenMolecular Pathology Laboratory, Department of Pathology, Copenhagen University, Hvidovre Hospital, Hvidovre, Denmark.
Karen YansonBecton Dickinson and Company, Sparks, MD, USA.
Anna D IacobonePreventive Gynecology Unit, European Institute of Oncology, Milan, Italy.
Salma KodsiBecton Dickinson and Company, Sparks, MD, USA.
Fabio LandoniDepartment of Medicine and Surgery, University of Milan Bicocca, Milan, Italy.
Laurence VaughanBecton Dickinson and Company, Sparks, MD, USA.
Ditte M EjegodMolecular Pathology Laboratory, Department of Pathology, Copenhagen University, Hvidovre Hospital, Hvidovre, Denmark.
Maria T SandriLaboratorio Analisi Cliniche, Humanitas Research Hospital, Milan, Italy.
Becton Dickinson (United States) · USHvidovre Hospital · DKEuropean Institute of Oncology · ITIRCCS Humanitas Research Hospital · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whereas HPV16 and HPV18 have been the focus in current risk-based cervical cancer screening algorithms using HPV genotype information, mounting evidence suggests that oncogenic HPV types such as HPV31, 33, 52 and 58 pose a ≥CIN3 risk equivalent to or greater than that of HPV18, and the combined risk of HPV31 and HPV33 rivals even HPV16 in women above 30 years of age. Here, we evaluate the baseline risk of CIN2 and CIN3 by genotype in a colposcopy referral population from Denmark and Italy. In total, 655 women were enrolled upon a referral to colposcopy after a positive screening sample. All samples were HPV analyzed using Onclarity HPV assay with extended genotyping and combined with the histology outcomes, a Bayesian probability modeling was used to determine the risk per genotype assessed. The combined data for this referral population showed that the ≥CIN2 risk of HPV16 was 69.1%, HPV31 at 63.3%, HPV33/58 at 52.7%, HPV18 at 46.6% and HPV52 at 40.8%. For ≥CIN3, the risks were 44.3%, 38.5%, 36.8%, 30.9% and 16.8% for HPV16, HPV31, HPV18, HPV33/58 and HPV52, respectively, indicating that the baseline risk of disease arising from HPV16 is, not surprisingly, the highest among the oncogenic HPV genotypes. We find that the HPV genotype-specific ≥CIN2 and ≥CIN3 risk-patterns are so distinct that, for example, 35/39/68 and 56/59/66 should be considered only for low intensive follow-up, thereby proposing active use of this information in triage strategies for screening HPV-positive women.

Indexed as

AdolescentAdultAgedBayes TheoremCohort StudiesEarly Detection of CancerEuropeFemaleGenotypeHumansMass ScreeningMiddle AgedPapillomaviridaePapillomavirus InfectionsRiskUterine Cervical Neoplasms

Identifiers

PMID30895602
PMCPMC6617734
OpenAlexW2922745925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.