Evidence map›Paper›PMID 36357861›Full record

ArticleBMC microbiology2022

Vaginal microbiota in women with spontaneous preterm labor versus those with term labor in Kenya: a case control study.

Edgar Gulavi, Fridah Mwendwa, David O Atandi, Patricia O Okiro, Michael Hall, Robert G Beiko, Rodney D Adam

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Vaginal Microbiome and Preterm Birth in Pregnant Women From India.The journal of obstetrics and gynaecology research · 2026
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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

7 authors at 2 institutions in 2 countries.

Edgar GulaviDepartment of Obstetrics and Gynecology, Aga Khan University, Nairobi, Kenya.
Fridah MwendwaDepartment of Pathology, Aga Khan University, Nairobi, Kenya.
David O AtandiDepartment of Pathology, Aga Khan University, Nairobi, Kenya.
Patricia O OkiroDepartment of Pathology, Aga Khan University, Nairobi, Kenya.
Michael HallFaculty of Computer Science and Institute for Comparative Genomics, Dalhousie University, Halifax Nova Scotia, Canada.
Robert G BeikoFaculty of Computer Science and Institute for Comparative Genomics, Dalhousie University, Halifax Nova Scotia, Canada.
Rodney D AdamDepartment of Pathology, Aga Khan University, Nairobi, Kenya. Rodney.adam@aku.edu.ORCID 0000-0002-6665-4280
Aga Khan University Nairobi · KEDalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreterm birth is a global problem with about 12% of births in sub-Saharan Africa occurring before 37 weeks of gestation. Several studies have explored a potential association between vaginal microbiota and preterm birth, and some have found an association while others have not. We performed a study designed to determine whether there is an association with vaginal microbiota and/or placental microbiota and preterm birth in an African setting.

methodsWomen presenting to the study hospital in labor with a gestational age of 26 to 36 weeks plus six days were prospectively enrolled in a study of the microbiota in preterm labor along with controls matched for age and parity. A vaginal sample was collected at the time of presentation to the hospital in active labor. In addition, a placental sample was collected when available. Libraries were constructed using PCR primers to amplify the V6/V7/V8 variable regions of the 16S rRNA gene, followed by sequencing with an Illumina MiSeq machine and analysis using QIIME2 2022.2.

resultsForty-nine women presenting with preterm labor and their controls were enrolled in the study of which 23 matched case-control pairs had sufficient sequence data for comparison. Lactobacillus was identified in all subjects, ranging in abundance from < 1% to > 99%, with Lactobacillus iners and Lactobacillus crispatus the most common species. Over half of the vaginal samples contained Gardnerella and/or Prevotella; both species were associated with preterm birth in previous studies. However, we found no significant difference in composition between mothers with preterm and those with full-term deliveries, with both groups showing roughly equal representation of different Lactobacillus species and dysbiosis-associated genera. Placental samples generally had poor DNA recovery, with a mix of probable sequencing artifacts, contamination, and bacteria acquired during passage through the birth canal. However, several placental samples showed strong evidence for the presence of Streptococcus species, which are known to infect the placenta.

conclusionsThe current study showed no association of preterm birth with composition of the vaginal community. It does provide important information on the range of sequence types in African women and supports other data suggesting that women of African ancestry have an increased frequency of non-Lactobacillus types, but without evidence of associated adverse outcomes.

Indexed as

MicrobiotaObstetric Labor, PrematurePremature BirthCase-Control StudiesFemaleHumansInfantInfant, NewbornKenyaPlacentaPregnancyRNA, Ribosomal, 16SVaginaRNA, Ribosomal, 16SPreterm birthSub-Saharan AfricaVaginal microbiota

Identifiers

PMID36357861
PMCPMC9648016
OpenAlexW4308882070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.