Evidence map›Paper›PMID 35949516›Full record

ArticleFujita medical journal2022

Longitudinal study of the vaginal microbiome in pregnancies involving preterm labor.

Yoshiko Sakabe, Haruki Nishizawa, Asuka Kato, Yoshiteru Noda, Akiko Ohwaki, Hikari Yoshizawa, Takema Kato, Takao Sekiya, Takuma Fujii, Hiroki Kurahashi

Open access · greenAbstract read
In one paragraph

Article in Fujita medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

10 authors at 1 institution in 1 country.

Yoshiko SakabeDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Haruki NishizawaDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Asuka KatoDivision of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
Yoshiteru NodaDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Akiko OhwakiDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Hikari YoshizawaDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Takema KatoDivision of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
Takao SekiyaDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Takuma FujiiDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Hiroki KurahashiDivision of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi, Japan.
Fujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Alterations in the vaginal bacterial flora reflect the status of various obstetric conditions and are associated with mechanisms that underlie certain pregnancy-associated complications. These changes are also a predictive biomarker for clinical outcomes of these adverse events. Methods: We examined the vaginal microbiome in samples from pregnant Japanese women with preterm labor. Results: The microbiota composition in preterm delivery (PD) samples differed from those of control or threatened preterm delivery (TPD) samples in principal component analysis. An increase in Firmicutes and a decrease in Actinobacteria were significantly associated with PD only (both Conclusions: The vaginal microbiome may be a useful prognostic indicator of preterm labor and a monitoring tool for tocolytic treatment to prevent preterm birth.

Indexed as

Lactobacillus inersPreterm deliveryVaginal microbiome

Identifiers

PMID35949516
PMCPMC9358670
OpenAlexW4291020743

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.