Evidence map›Paper›PMID 31402478›Full record

ArticleNeurourology and urodynamics2019

Abnormal vaginal microbiome associated with vaginal mesh complications.

Nikolaus Veit-Rubin, Renaud De Tayrac, Rufus Cartwright, Larissa Franklin-Revill, Sophie Warembourg, Catherine Dunyach-Remy, Jean-Philippe Lavigne, Vik Khullar

Open access · hybridAbstract read
In one paragraph

Article in Neurourology and urodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.7field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Vaginal Microbiota and Pelvic Floor Dysfunction: Mechanistic Insights and Therapeutic Implications.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  3. Genome sequence ofMicrobiology resource announcements · 2026
    Article
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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

8 authors at 5 institutions in 3 countries.

Nikolaus Veit-RubinDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-2102-9254
Renaud De TayracDepartment of Gynecology and Obstetrics, Caremeau University Hospital, Nîmes, France.ORCID 0000-0002-4352-4782
Rufus CartwrightDepartment of Urogynaecology, Oxford University Hospitals, Oxford, United Kingdom.
Larissa Franklin-RevillDepartment of Urogynaecology, St. Mary's Hospital, Imperial College London, London, United Kingdom.
Sophie WarembourgDepartment of Gynecology and Obstetrics, CHU La Croix-Rousse University Hospital Lyon, Lyon, France.
Catherine Dunyach-RemyDepartment of Microbiology, CHU Caremeau University Hospital, Montpellier University, Nîmes, France.
Jean-Philippe LavigneDepartment of Microbiology, CHU Caremeau University Hospital, Montpellier University, Nîmes, France.ORCID 0000-0002-9484-0304
Vik KhullarDepartment of Urogynaecology, St. Mary's Hospital, Imperial College London, London, United Kingdom.ORCID 0000-0002-4775-7495
St Mary's Hospital · GBUniversité de Montpellier · FRHôpital de la Croix-Rousse · FRMedical University of Vienna · ATOxford University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo identify differences in the vaginal microbiomes of women after transvaginal mesh (TVM) surgery for pelvic organ prolapse with and without mesh-associated complications.

methodsPatients with complications were eligible as cases, patients without as controls. DNA was isolated and the V1-2 region of the 16S ribosomal RNA gene was amplified and sequenced. Overall richness was quantified using Chao1. Overall diversity was expressed as Shannon diversity and screened for group differences using analysis of variance. Multivariate differences among groups were evaluated with functions from R.

resultsWe recruited 14 patients after mesh exposure, 5 after contraction, and 21 as controls. The average number of operational taxonomic unit was 74.79 (SD ± 63.91) for controls, 57.13 (SD ± 58.74) after exposures, and 92.42 (SD ± 50.01) after contractions. Total 89.6% of bacteria in controls, 86.4% in previous exposures, and 81.3% in contractions were classified as either Firmicutes, Proteobacteria, or Actinobacteria (P < .001). Veillonella spp. was more abundant in patients after contraction (P = .045). The individual microbiomes varied, and we did not detect any significant differences in richness but a trend towards higher diversity with complications.

conclusionsThe presence of Veillonella spp. could be associated with mesh contraction. Our study did not identify vaginal microbiotic dysbiosis as a factor associated with exposure. Larger cohort studies would be needed to distinguish the vaginal microbiome of women predisposed to mesh-related complications for targeted phenotyping of patients who could benefit from TVM surgery.

Indexed as

MicrobiotaSurgical MeshAgedBacteriaDNA, BacterialFemaleHumansMiddle AgedPelvic Organ ProlapsePostoperative ComplicationsUrologic Surgical ProceduresVaginaVeillonellaDNA, Bacterialcontractionexposuremicrobiometransvaginal mesh

Identifiers

PMID31402478
PMCPMC6852108
OpenAlexW2967879646

What OpenQuestion holds

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LicenceCC BY-NC
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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.