Evidence map›Paper›PMID 31488417›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Role of HPV Genotype, Multiple Infections, and Viral Load on the Risk of High-Grade Cervical Neoplasia.

Rachael Adcock, Jack Cuzick, William C Hunt, Ruth M McDonald, Cosette M Wheeler, New Mexico HPV Pap Registry Steering Committee

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
7.3field-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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  10. Gene expression, viral load, and bovine papillomavirus coinfection in blood and cutaneous warts of cattle.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
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  14. Cofactors in Human Papillomavirus Carcinogenesis.Current topics in microbiology and immunology · 2026
    Review
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11 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

6 authors at 2 institutions in 2 countries.

Rachael AdcockCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.
Jack CuzickCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-7420-7512
William C HuntCenter for HPV Prevention, University of New Mexico Health Sciences Center, Albuquerque, New Mexico.
Ruth M McDonaldCenter for HPV Prevention, University of New Mexico Health Sciences Center, Albuquerque, New Mexico.
Cosette M Wheeler
New Mexico HPV Pap Registry Steering Committee
University of New Mexico · USQueen Mary University of London · GB

Funding

The EPI-STI Biostatistics and Bioinformatics Core (Cuzick/Wheeler)U19AI113187 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI WHEELER, COSETTE MARIE · 2014 to 2018
$12.6M
NIAID NIH HHS U19 AI113187
6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) testing provides a much more sensitive method of detection for high-grade lesions than cytology, but specificity is low. Here, we explore the extent to which full HPV genotyping, viral load, and multiplicity of types can be used to improve specificity.

methodsA population-based sample of 47,120 women undergoing cervical screening was tested for 13 high-risk HPV genotypes. Positive predictive values (PPV) for cervical intraepithelial neoplasia (CIN) grade 2 or worse (CIN2+;

resultsHigh-risk HPV was detected in 15.4% of women. A hierarchy of HPV genotypes based on sequentially maximizing PPVs for CIN3+ found HPV16>33>31 to be the most predictive, followed sequentially by HPV18>35>58>45>52>59>51>39>56>68. After adjusting for higher ranked genotypes, the inclusion of multiple HPV infections added little to risk prediction. High viral loads for HPV18, 35, 52, and 58 carried more risk than low viral loads for HPV16, 31, and 33. High viral load for HPV16 was significantly more associated with CIN3+ than low viral load.

conclusionsHPV genotype and viral load, but not multiplicity of HPV infections, are important predictors of CIN2+ and CIN3+. IMPACT: The ability to identify women at higher risk of CIN2+ and CIN3+ based on both HPV genotype and viral load could be important for individualizing triage plans, particularly as HPV becomes the primary screening test.

Indexed as

AdultFemaleGenotypeHumansNeoplasm GradingPapillomaviridaePapillomavirus InfectionsRisk FactorsUterine Cervical NeoplasmsViral Load

Identifiers

PMID31488417
PMCPMC8394698
OpenAlexW2971680537

What OpenQuestion holds

Textmetadata
LicenceTDM
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.