Evidence map›Paper›PMID 31573753›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2020

The association between vaginal bacterial composition and miscarriage: a nested case-control study.

M Al-Memar, S Bobdiwala, H Fourie, R Mannino, Y S Lee, A Smith, J R Marchesi, D Timmerman, T Bourne, P R Bennett and 1 more

Abstract read
In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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17 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

11 authors.

M Al-MemarTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
S BobdiwalaTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
H FourieTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
R ManninoTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
Y S LeeTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
A SmithSchool of Medicine, Cardiff University, Cardiff, UK.
J R MarchesiMarch of Dimes European Preterm Birth Research Centre, Imperial College London, London, UK.
D TimmermanDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
T BourneTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
P R BennettTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.
D A MacIntyreTommy's National Centre for Miscarriage Research, Imperial College London, London, UK.ORCID 0000-0002-4186-5567

Funding

March of Dimes European Preterm Birth Research Centre at Imperial College LondonMedical Research Council MR/L009226/1NIHR CLAHRC NWL (Collaboration for Leadership in Applied Health Research & Care, North-West London)Tommy's National Centre for Miscarriage Research P62774UK National Institute for Health Research Biomedical Research Centre P45272
6 · The paper itself

Abstract

objectiveTo characterise vaginal bacterial composition in early pregnancy and investigate its relationship with first and second trimester miscarriages.

designNested case-control study.

settingQueen Charlotte's and Chelsea Hospital, Imperial College Healthcare NHS Trust, London. POPULATION: 161 pregnancies: 64 resulting in first trimester miscarriage, 14 in second trimester miscarriage and 83 term pregnancies.

methodsProspective profiling and comparison of vaginal bacteria composition using 16S rRNA gene-based metataxonomics from 5 weeks' gestation in pregnancies ending in miscarriage or uncomplicated term deliveries matched for age, gestation and body mass index.

main outcome measuresRelative vaginal bacteria abundance, diversity and richness. Pregnancy outcomes defined as first or second trimester miscarriage, or uncomplicated term delivery.

resultsFirst trimester miscarriage associated with reduced prevalence of Lactobacillus spp.-dominated vaginal microbiota classified using hierarchical clustering analysis (65.6 versus 87.7%; P = 0.005), higher alpha diversity (mean Inverse Simpson Index 2.5 [95% confidence interval 1.8-3.0] versus 1.5 [1.3-1.7], P = 0.003) and higher richness 25.1 (18.5-31.7) versus 16.7 (13.4-20), P = 0.017), compared with viable pregnancies. This was independent of vaginal bleeding and observable before first trimester miscarriage diagnosis (P = 0.015). Incomplete/complete miscarriage associated with higher proportions of Lactobacillus spp.-depleted communities compared with missed miscarriage. Early pregnancy vaginal bacterial stability was similar between miscarriage and term pregnancies.

conclusionsThese findings associate the bacterial component of vaginal microbiota with first trimester miscarriage and indicate suboptimal community composition is established in early pregnancy. While further studies are required to elucidate the mechanism, vaginal bacterial composition may represent a modifiable risk factor for first trimester miscarriage. TWEETABLE ABSTRACT: Vaginal bacterial composition in first trimester miscarriage is associated with reduced Lactobacillus spp. abundance and is independent of vaginal bleeding.

Indexed as

Abortion, SpontaneousAdultCase-Control StudiesFemaleHumansLondonMicrobiotaPregnancyPregnancy Trimester, FirstPregnancy Trimester, SecondProspective StudiesRNA, Ribosomal, 16SVaginaRNA, Ribosomal, 16SFirst trimester miscarriagesecond trimester miscarriagevaginal bacteriavaginal microbiome

Identifiers

PMID31573753
PMCPMC6972675

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LicenceCC BY
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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.