Evidence map›Paper›PMID 21757370›Full record

ArticleTrends in endocrinology and metabolism: TEM2011

The vaginal microbiome in health and disease.

Bryan A White, Douglas J Creedon, Karen E Nelson, Brenda A Wilson

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Trends in endocrinology and metabolism: TEM, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04887636 (Baseline Study of Vaginal Microbiota in Healthy Chinses Female Population), which is not on this map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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.

NCT04887636 completednot on this mapstarted 2021, after this paper: background citation

Baseline Study of Vaginal Microbiota in Healthy Chinses Female Population

Typeobservational_patient_registrySponsorPeking Union Medical College HospitalRan2021 to 2022Enrolled1,000ConditionsVagina Disease, Vaginal Community State Type
3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.

  1. Pooled it
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  19. Large animal models in the study of gynecological diseases.Frontiers in cell and developmental biology · 2023
    Review
  20. Review

4 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Bryan A WhiteInstitute for Genomic Biology, University of Illinois, Urbana, IL 61801, USA.
Douglas J Creedon
Karen E Nelson
Brenda A Wilson
University of Illinois Urbana-Champaign · USJ. Craig Venter Institute · USMayo Clinic in Arizona · US

Funding

The Human Vaginal Microbiome and Bacterial VaginosisR56AI085096 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WHITE, BRYAN · 2010 to 2010
$660k
NIAID NIH HHS R56 AI085096
6 · The paper itself

Abstract

Infections of the vaginal tract result from perturbations in the complex interactions between the microbiome and the host vaginal ecosystem. Recent data have linked specific vaginal microbes and urogenital infection with preterm birth. Here we discuss how next-generation sequencing-based approaches to study the vaginal microbiome will be important for defining what constitutes an imbalance of the microbiome and the associated host conditions that lead to subsequent infection and disease states. These studies will provide clinicians with reliable diagnostic tools and treatments for women who are at increased risk for vaginal infections, preterm birth, HIV and other sexually acquired diseases, and will provide opportunities for intervention.

Indexed as

MetagenomeEcosystemFemaleHumansPregnancyPremature BirthUrinary Tract InfectionsVaginaVaginal DiseasesVaginitisVaginosis, Bacterial

Identifiers

PMID21757370
PMCPMC3183339
OpenAlexW2075921209

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.