Evidence map›Paper›PMID 32243309›Full record

ArticleJournal of lower genital tract disease2020

A Study of Partial Human Papillomavirus Genotyping in Support of the 2019 ASCCP Risk-Based Management Consensus Guidelines.

Maria Demarco, Didem Egemen, Tina R Raine-Bennett, Li C Cheung, Brian Befano, Nancy E Poitras, Thomas S Lorey, Xiaojian Chen, Julia C Gage, Philip E Castle and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of lower genital tract disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
7.6field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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

14 authors at 7 institutions in 1 country.

Maria DemarcoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Didem EgemenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Tina R Raine-BennettDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Li C CheungDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Brian BefanoInformation Management Services Inc, Calverton, MD.
Nancy E PoitrasRegional Laboratory, Kaiser Permanente Northern California, Berkeley, CA.
Thomas S LoreyRegional Laboratory, Kaiser Permanente Northern California, Berkeley, CA.
Xiaojian ChenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Julia C GageDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Philip E CastleAlbert Einstein College of Medicine, Bronx, NY.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Rebecca B PerkinsBoston University School of Medicine, Boston, MA.
Richard S GuidoUniversity of Pittsburgh, Pittsburgh, PA.
Mark SchiffmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
National Cancer Institute · USDivision of Cancer Epidemiology and GeneticsKaiser Permanente · USAlbert Einstein College of Medicine · USBoston University · USInformation Management Services · USUniversity of Pittsburgh · US

Funding

Human Papillomavirus (HPV) Natural History, Genomics and Risk AssessmentZIACP010206 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SCHIFFMAN, MARK · 2010 to 2025
$17.1M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

introductionThe 2019 ASCCP Risk-Based Management Consensus Guidelines include recommendations for partial human papillomavirus (HPV) genotyping in management of abnormal cervical cancer screening results. The guidelines are based on matching estimates of cervical intraepithelial neoplasia (CIN) 3+ risk to consensus clinical action thresholds. In support of the guidelines, this analysis addresses the risks predicted by individual identification of HPV 16 and HPV 18.

methodsRisk estimates were drawn from a subset of women in the Kaiser Permanente Northern California screening program, whose residual cervical specimens were HPV typed as part of the HPV Persistence and Progression study. We calculated risk of CIN 3+ to assess how identification of HPV 16, HPV 18, or 12 other "high-risk" HPV types would influence recommended clinical management of new abnormal screening results, taking into account current cytologic results and recent screening history. Immediate and/or 5-year risks of CIN 3+ were matched to clinical actions identified in the guidelines.

resultsIdentification of HPV 16 at the first visit including HPV testing elevated immediate risk of diagnosing CIN 3+ sufficiently to mandate colposcopic referral even when cytology was Negative for Intraepithelial Lesions or Malignancy and to support a preference for treatment of cytologic high-grade squamous intraepithelial lesion. HPV 18 less clearly elevated CIN 3+ risk.

conclusionsIdentification of HPV 16 clearly mandated consideration in clinical management of new abnormal screening results. HPV 18 positivity must be considered as a special situation because of established disproportionate risk of invasive cancer. More detailed genotyping and use beyond initial management will be considered in guideline updates.

Indexed as

AdultAgedCaliforniaConsensusFemaleGenotypeHumansMiddle AgedPapillomaviridaePapillomavirus InfectionsPractice Guidelines as TopicRisk ManagementUterine Cervical Neoplasms

Identifiers

PMID32243309
PMCPMC7141756
OpenAlexW3014480285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.