Evidence map›Paper›PMID 32322240›Full record

ArticleFrontiers in microbiology2020

Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth.

Idit Kosti, Svetlana Lyalina, Katherine S Pollard, Atul J Butte, Marina Sirota

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Contribution ofFrontiers in cellular and infection microbiology · 2021
    Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Increased vaginalmSystems · 2025
    Article
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  19. Review
  20. A Scoping Review of Preterm Birth Risk Factors.American journal of perinatology · 2024
    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

5 authors.

Idit KostiBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
Svetlana LyalinaIntegrative Program in Quantitative Biology, Gladstone Institutes, University of California, San Francisco, San Francisco, CA, United States.
Katherine S PollardBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
Atul J ButteBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.

Funding

Longitudinal and functional dynamics of autoimmune gut microbiomesR21AI108953 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI POLLARD, KATHERINE S. · 2014 to 2015
$533k
Elucidating the Role of the Genetic and Environmental Determinants of Preterm Birth Using Integrative Computational ApproachesK01LM012381 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIROTA, MARINA · 2016 to 2018
$531k
NIAID NIH HHS R21 AI108953NIH HHS HHSN316201200036WNLM NIH HHS K01 LM012381
6 · The paper itself

Abstract

Preterm birth (PTB) is defined as the birth of an infant before 37 weeks of gestational age. It is the leading cause of perinatal morbidity and mortality worldwide. In this study, we present a comprehensive meta-analysis of vaginal microbiome in PTB. We integrated raw longitudinal 16S rRNA vaginal microbiome data from five independent studies across 3,201 samples and were able to gain new insights into the vaginal microbiome state in women who deliver preterm in comparison to those who deliver at term. We found that women who deliver prematurely show higher within-sample variance in vaginal microbiome abundance, with the most significant difference observed during the first trimester. Modeling the data longitudinally revealed a number of microbial genera as associated with PTB, including several that were previously known and two newly identified by this meta-analysis:

Indexed as

longitudinal analysismeta-analysismicrobiomepreterm birthpublic data analysisvaginal microbiome

Identifiers

PMID32322240
PMCPMC7156768

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.