Evidence map›Paper›PMID 37980645›Full record

ArticleCancer biomarkers : section A of Disease markers2023

HPV genotype-specific distribution and attributable risk in cervical intraepithelial neoplasia in a referral population with a history of LSIL.

Sam Ratnam, Dan Jang, Reza Alaghehbandan, Laura Gilbert, Yunwen Xu, Wei Wang, Phillip Andrews, Ashley Green, David J Speicher, Max Chernesky

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2023. 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
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Cofactors in Human Papillomavirus Carcinogenesis.Current topics in microbiology and immunology · 2026
    Review
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

10 authors at 6 institutions in 2 countries.

Sam RatnamMcMaster University, St. Joseph's Healthcare, Hamilton, ON, Canada.
Dan JangMcMaster University, St. Joseph's Healthcare, Hamilton, ON, Canada.
Reza AlaghehbandanRobert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.
Laura GilbertPublic Health Agency of Canada, Ottawa, ON, Canada.
Yunwen XuJohns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD, USA.
Wei WangMerck & Co., Inc., Outcomes Research, Rahway, NJ, USA.
Phillip AndrewsAvalon Laboratories Inc., St. John's, NL, Canada.
Ashley GreenAvalon Laboratories Inc., St. John's, NL, Canada.
David J SpeicherMcMaster University, St. Joseph's Healthcare, Hamilton, ON, Canada.
Max CherneskyMcMaster University, St. Joseph's Healthcare, Hamilton, ON, Canada.
McMaster University · CACleveland Clinic · USJohns Hopkins University · USPublic Health Agency of Canada · CASt. Joseph’s Healthcare Hamilton · CAUniversity of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveCINtec PLUS and cobas HPV tests (Roche) were previously ascertained for triaging an LSIL referral population [1]. As part of this study, genotype-specific distribution and attributable risk of high-risk (HR)-HPV in cervical intraepithelial neoplasia (CIN) were determined.

methodsArchived cervical specimens in ThinPrep PreservCyt (Hologic Inc) from the LSIL referral population (n= 533) were genotyped using the Anyplex II HPV HR test (Anyplex, Seegene Inc). Since the study specimens had been in storage in ambient temperature for 31-47 months since collection, Anyplex results were compared with that of the initial cobas testing of fresh specimens to validate the suitability and stability of specimens for the present study.

resultsOverall, Anyplex test was positive in 63% (336/533) vs. 55.7% (297/533) for cobas test. Anyplex test performed identical to cobas test identifying 93.2% (82/88) of ⩾CIN2/adenocarcinoma in situ (AIS). Anyplex test detected genotypes 16/18 in 15.7% (36/230) ⩽CIN1 vs. 45.5% (40/88) ⩾CIN2/AIS; the corresponding figures were 13.5% (31/230) and 45.5% (40/48) for the cobas test. Genotype 16 showed increasing attribution, 13.2% in CIN1, 27.1% in CIN2 and 40% in CIN3/AIS. Of the 12 other high-risk (OHR) types collectively identified by cobas, Anyplex test specifically detected, in decreasing order, genotypes 51, 31, 35, 56, 39, and 45 as the most frequent types, often in multiple-type infections, in 64.8% ⩾CIN2. Regardless, estimated attribution was evident for each of the 12 OHR types in ⩾CIN2. Multiple-type infections were more frequent than single-type infections in all CIN grades.

conclusionsAttributable risk of all HR-HPV genotypes targeted by both Anyplex and cobas tests was evident in ⩾CIN2/AIS Testing for these genotypes in HPV primary cervical screening and cytology triage could identify those at increased risk of cervical cancer and also be beneficial in the management of LSIL referral populations.

Indexed as

Papillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsEarly Detection of CancerFemaleGenotypeHumansPapillomaviridaeSensitivity and SpecificityAnyplex II HPV HR testcobas HPV testHPV genotype-specific attributable risk in CINHPV genotype-specific distribution in cervical intraepithelial neoplasia (CIN)ThinPrep PreservCyt stability for HPV DNA testing

Identifiers

PMID37980645
PMCPMC12412882
OpenAlexW4388837388

What OpenQuestion holds

Textmetadata
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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.