Evidence map›Paper›PMID 34568084›Full record

ArticleFrontiers in cellular and infection microbiology2021

Composition of Vaginal Microbiota in Pregnant Women With Aerobic Vaginitis.

Kwan Young Oh, Sunghee Lee, Myung-Shin Lee, Myung-Ju Lee, Eunjung Shim, Yun Ha Hwang, Joong Gyu Ha, Yun Seok Yang, In Taek Hwang, Jun Sook Park

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  6. Article
  7. [Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
  8. Vaginal microbiota of pregnant women withFrontiers in cellular and infection microbiology · 2024
    Article
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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

10 authors at 2 institutions in 1 country.

Kwan Young OhDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
Sunghee LeeResearch Laboratories, Ildong Pharmaceutical Co., Ltd, Hwaseong, South Korea.
Myung-Shin LeeDepartment of Microbiology and Immunology, Eulji University School of Medicine, Daejeon, South Korea.
Myung-Ju LeeDepartment of Microbiology and Immunology, Eulji University School of Medicine, Daejeon, South Korea.
Eunjung ShimDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
Yun Ha HwangDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
Joong Gyu HaDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
Yun Seok YangDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
In Taek HwangDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
Jun Sook ParkDepartment of Obstetrics and Gynecology, Eulji University School of Medicine, Daejeon, South Korea.
Eulji University · KRDaewoong Pharmaceutical (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaginal dysbiosis, such as bacterial vaginosis (BV) and aerobic vaginitis (AV), is an important cause of premature birth in pregnant women. However, there is very little research on vaginal microbial distribution in AV compared to that in BV. This study aimed to analyze the composition of the vaginal microbiota of pregnant women with AV using microbial community analysis and identify the causative organism using each criterion of the AV scoring system. Also, we compared the quantification of aerobic bacteria using quantitative polymerase chain reaction (qPCR) and their relative abundances (RA) using metagenomics. This prospective case-control study included 228 pregnant Korean women from our previous study. A wet mount test was conducted on 159 women to diagnose AV using the AV scoring system. Vaginal samples were analyzed using metagenomics, Gram staining for Nugent score determination, conventional culture, and qPCR for

Indexed as

MicrobiotaVaginitisCase-Control StudiesDysbiosisFemaleHumansPregnancyPregnant PeopleVaginaaerobic vaginitisdysbiosisEnterobacteriaceaeLactobacillusStaphylococcus spp.Streptococcus spp.vaginal microbiota

Identifiers

PMID34568084
PMCPMC8458944
OpenAlexW3197315331

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.