Evidence map›Paper›PMID 37056823›Full record

ArticleAmerican journal of translational research2023

Relationship between HPV-16 infection and the progression of vaginal intraepithelial neoplasia.

Caihong Qiu, Bo Zhao, Dan Wang, Huiyun Tang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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  4. 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

4 authors at 2 institutions in 1 country.

Caihong QiuDepartment of Gynecology, Affiliated Hospital of Guilin Medical College Guilin 541000, Guangxi, PR China.
Bo ZhaoDepartment of Radiotherapy, Affiliated Hospital of Guilin Medical College Guilin 541000, Guangxi, PR China.
Dan WangDepartment of Gynecology, Affiliated Hospital of Guilin Medical College Guilin 541000, Guangxi, PR China.
Huiyun TangDepartment of Obstetrics, Nanxishan Hospital of Guangxi Zhuang Autonomous Region Guilin 541000, Guangxi, PR China.
Affiliated Hospital of Guilin Medical College · CNNanxi Mountain Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the relationship between infection with human papillomavirus (HPV)-16 and the development of vaginal intraepithelial neoplasia (VaIN).

methodsThis is a retrospective study. 78 patients with suspected VaIN admitted to the gynecologic clinic of Affiliated Hospital of Guilin Medical College from August 2016 to December 2020 who were confirmed to have HPV-16 infection by HPV rapid flow-through hybridization method were selected as the research subjects. The copy numbers of HPV-16 early genes E2 and E6 were detected by quantitative real-time PCR amplification to analyze the integration status of the virus.

resultsThe episomal form of HPV-16 exists in all levels of VaIN. As the pathological level of VaIN increased, the episomal form of HPV-16 gradually decreased, and a disruption of the E2 gene became more frequent. However, there was no significant difference between different levels of VaIN (

conclusionHPV gene integration may occur before the onset of VaIN. However, the occurrence of HPV-16 integration is not a risk factor leading to the malignant progression of VaIN. An E2 gene disruption is more common in the early events after HPV-16 infection. HPV-16 gene integration may be the main reason for persistent HPV-16 infection.

Indexed as

cytologyHuman papilloma virusold agevaginal intraepithelial neoplasia

Identifiers

PMID37056823
PMCPMC10086895
OpenAlexW4365483149

What OpenQuestion holds

Textmetadata
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.