Evidence map›Paper›PMID 31536132›Full record

ArticleThe Journal of infectious diseases2019

Evaluation of TypeSeq, a Novel High-Throughput, Low-Cost, Next-Generation Sequencing-Based Assay for Detection of 51 Human Papillomavirus Genotypes.

Sarah Wagner, David Roberson, Joseph Boland, Aimée R Kreimer, Meredith Yeager, Michael Cullen, Lisa Mirabello, S Terence Dunn, Joan Walker, Rosemary Zuna and 11 more

Abstract readEvaluation Study
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

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  6. A Direct Comparative Analysis of HPV DNA with Single-Molecule RNA and p16JID innovations : skin science from molecules to population health · 2025
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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

21 authors.

Sarah WagnerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
David RobersonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Joseph BolandDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Aimée R KreimerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Meredith YeagerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Michael CullenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Lisa MirabelloDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
S Terence DunnUniversity of Oklahoma Health Sciences Center, Oklahoma City.
Joan WalkerUniversity of Oklahoma Health Sciences Center, Oklahoma City.
Rosemary ZunaUniversity of Oklahoma Health Sciences Center, Oklahoma City.
Carolina PorrasAgencia Costarricense de Investigaciones Biomedicas, San José, Costa Rica.
Bernal CortesAgencia Costarricense de Investigaciones Biomedicas, San José, Costa Rica.
Joshua SampsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Rolando HerreroInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Ana Cecilia RodriguezAgencia Costarricense de Investigaciones Biomedicas, San José, Costa Rica.
Wim QuintDDL Diagnostic Laboratory, Rijswijk, The Netherlands.
Leen-Jan Van DoornDDL Diagnostic Laboratory, Rijswijk, The Netherlands.
CVT Group
Allan HildesheimDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Mark SchiffmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS N01 CP011005World Health Organization 001
6 · The paper itself

Abstract

backgroundHuman papillomaviruses (HPV) cause over 500 000 cervical cancers each year, most of which occur in low-resource settings. Human papillomavirus genotyping is important to study natural history and vaccine efficacy. We evaluated TypeSeq, a novel, next-generation, sequencing-based assay that detects 51 HPV genotypes, in 2 large international epidemiologic studies.

methodsTypeSeq was evaluated in 2804 cervical specimens from the Study to Understand Cervical Cancer Endpoints and Early Determinants (SUCCEED) and in 2357 specimens from the Costa Rica Vaccine Trial (CVT). Positive agreement and risks of precancer for individual genotypes were calculated for TypeSeq in comparison to Linear Array (SUCCEED). In CVT, positive agreement and vaccine efficacy were calculated for TypeSeq and SPF10-LiPA.

resultsWe observed high overall and positive agreement for most genotypes between TypeSeq and Linear Array in SUCCEED and SPF10-LiPA in CVT. There was no significant difference in risk of precancer between TypeSeq and Linear Array in SUCCEED or in estimates of vaccine efficacy between TypeSeq and SPF10-LiPA in CVT.

conclusionsThe agreement of TypeSeq with Linear Array and SPF10-LiPA, 2 well established standards for HPV genotyping, demonstrates its high accuracy. TypeSeq provides high-throughput, affordable HPV genotyping for world-wide studies of cervical precancer risk and of HPV vaccine efficacy.

Indexed as

GenotypeAdolescentAdultAgedAged, 80 and overCosta RicaCosts and Cost AnalysisCross-Sectional StudiesFemaleGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansMiddle AgedPapillomaviridaePapillomavirus InfectionsPapillomavirus VaccinesPapillomavirus VaccinesgenotypingHPVscreeningTypeSeqvaccine efficacy

Identifiers

PMID31536132
PMCPMC6782103

What OpenQuestion holds

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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.