Evidence map›Paper›PMID 29564314›Full record

ArticleObstetrics & gynecology science2018

Sequencing analysis of HPV-other type on an HPV DNA chip.

Min-Jeong Kim, Jin Ju Kim, Sunmie Kim

Open access · diamondAbstract read
In one paragraph

Article in Obstetrics & gynecology science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 97% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Min-Jeong KimDepartment of Obstetrics and Gynecology, Healthcare Research Institute, Gangnam Healthcare Center, Seoul National University Hospital, Seoul, Korea.
Jin Ju KimDepartment of Obstetrics and Gynecology, Healthcare Research Institute, Gangnam Healthcare Center, Seoul National University Hospital, Seoul, Korea.
Sunmie KimDepartment of Obstetrics and Gynecology, Healthcare Research Institute, Gangnam Healthcare Center, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-5122-2218
Seoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify the specific human papillomavirus (HPV) genotypes from HPV-other type on an HPV DNA chip test by sequencing.

methodsAmong 13,600 women undergoing a routine gynecology examination including Pap smear and/or HPV test by DNA chip test in the healthcare system at Gangnam Center from July 2012 to February 2013, we prospectively collected and performed sequencing for a total of 351 consecutive cervicovaginal samples consisting of 180 samples that tested positive for HPV-other type and 171 samples that tested positive for either high-risk HPV or low-risk HPV.

resultsOf a total of 351 samples, individual HPV genotypes were successfully sequenced in 215 cases: 119 HPV-other type, 82 HPV-high-risk, and 14 HPV-low-risk. Based on the sequencing for 119 HPV-other type samples, 91.6% were detected as HPV types that were not included on the DNA chip; however, 7.6% (9/119) were proven to be high-risk HPV types: HPV 18 (n=4), HPV 33 (n=3), HPV 35 (n=1), and HPV 59 (n=1). For correlation analysis of all high-risk and HPV 16/18, the correlation rate was 76.2% and 86.6% with kappa-value of 0.38 and 0.69, respectively.

conclusionHPV-other type on DNA chip test may still have possibility of high-risk HPV, i.e., HPV 18 and thus the significance of HPV-other type in detecting cervical disease remains to be investigated.

Indexed as

DNA sequence analysisGenotypeOligonucleotide array sequence analysisPapillomaviridae

Identifiers

PMID29564314
PMCPMC5854903
OpenAlexW2792421948

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.