Evidence map›Paper›PMID 31671125›Full record

ArticlePloS one2019

Analytic performance of PANArray HPV and HPV 9G DNA chip tests for genotyping of high-risk human papillomavirus in cervical ThinPrep PreservCyt samples.

Jiyoung Kim, Sun-Young Jun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Jiyoung KimDepartment of Pathology, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Sun-Young JunDepartment of Pathology, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-3007-2094
The Catholic University of Korea Incheon St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of high-risk human papillomavirus (HR-HPV) is important for early diagnosis of precancerous cervical lesion. The distribution of HR-HPV genotypes in East Asia is different from that in Western countries. HR-HPVs non-16/18 including HPV-58 are highly prevalent in East Asia. Thus, a variety of HPV tests that could identify individual genotypes have been widely used. HPV 9G DNA is a deoxyribonucleic acid-based chip test, while PANArray HPV chip is a peptide nucleic acid-based array. We compared the analytic performance of these two chips for detecting and genotyping HR-HPV using 356 liquid-based cytology specimens and evaluated their diagnostic accuracies based on direct sequencing. For identifying HR-HPV, PANArray HPV and HPV 9G DNA chips agreed with each other for 85.1% of samples. Overall strength of agreement between the two tests was substantial (k = 0.68). Specifically, these two tests almost perfectly agreed for detecting several types of HR-HPV, including HPV-16, -18, -35, -52, -58, and -59 (k>0.81 for all). According to direct sequencing, PANArray HPV produced consistently higher sensitivities for detecting HR-HPV than HPV 9G DNA for either overall or individual genotypes of HR-HPV. Sensitivities and specificities for detecting HPV-58 were perfect (100%) with PANArray HPV. In conclusion, PANArray HPV is more effective than HPV 9G DNA in detecting HR-HPV. It is more useful for regions with high prevalent HPV-58 infection.

Indexed as

AdultAsia, EasternCervix UteriCytodiagnosisDatabases, GeneticDNA, ViralFemaleGenotypeHigh-Throughput Nucleotide SequencingHuman papillomavirus 16HumansMiddle AgedMolecular Diagnostic TechniquesPapillomaviridaePapillomavirus InfectionsSensitivity and SpecificityDNA, Viral

Identifiers

PMID31671125
PMCPMC6822940
OpenAlexW2982383953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.