Evidence map›Paper›PMID 32790515›Full record

ArticleThe Journal of international medical research2020

Analysis of characteristics of vulvo-vaginal infections in 14- to 18-year-old girls in late puberty.

Ling Xu, Zhengqiang Hu, Fan Yu, Yuanting Tang

Open access · goldAbstract readCase Reports
In one paragraph

Article in The Journal of international medical research, 2020. 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
1.0field-weighted citation impact, top 27% 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, 8 citations in OpenAlex.

  1. Article
  2. Observational
  3. Age and sex trends ofIranian journal of microbiology · 2021
    Article
  4. Article
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 1 institution in 1 country.

Ling XuDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Sichuan, China.
Zhengqiang HuDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Sichuan, China.ORCID https://orcid.org/0000-0002-4740-4104
Fan YuDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Sichuan, China.
Yuanting TangDepartment of Laboratory Medicine, West China Second University Hospital, Sichuan University, Sichuan, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine the characteristics of vulvo-vaginal infections in 14- to 18-year-old girls in late puberty.

methodsFrom July 2016 to June 2019, 487 14- to 18-year-old girls with vulvo-vaginal infection in late puberty in West China Second University Hospital were retrospectively studied. The incidence of bacterial vaginosis (BV), the intermediate type of BV, vulvo-vaginal candidiasis (VVC),

resultsThe incidence of BV, the intermediate type of BV, TV, VVC, and unknown pathogenic vaginitis was 25.67%, 19.30%, 2.46%, 29.37%, and 23.20%, respectively. The incidence of BV and VVC was significantly higher than that of TV. The incidence of BV in the 17-year-old group was significantly higher than that in other age groups. The incidence of VVC and non-

conclusionGirls in late puberty are more susceptible to suffer from BV and VVC than TV infections. Therefore, more attention should be paid to the effects of menstrual hygiene, female estrogen levels, the vaginal internal environment, and hygiene in vulvo-vaginal infection at this stage.

Indexed as

Trichomonas VaginitisAdolescentChinaFemaleHumansHygieneMenstruationPubertyRetrospective Studiesadolescent developmentbacterial vaginosisCandida albicanshygieneLate pubertyvulvo-vaginal infection

Identifiers

PMID32790515
PMCPMC7543224
OpenAlexW3049092949

What OpenQuestion holds

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LicenceCC BY-NC
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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.