Evidence map›Paper›PMID 39578602›Full record

Observational studyScientific reports2024

Preoperative vaginal microbiome as a predictor of postoperative urinary tract infection.

John A Occhino, Jenifer N Byrnes, Pei-Ying Wu, Jun Chen, Marina R Walther-Antonio

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02751073 (Evaluation of Vaginal and Urinary Microbiome Markers as Predictors of Post-Surgical Urinary Tract Infection), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT02751073 completednot on this map

Evaluation of Vaginal and Urinary Microbiome Markers as Predictors of Post-Surgical Urinary Tract Infection

TypeobservationalSponsorMayo ClinicRan2016 to 2018Enrolled25ConditionsPelvic Organ Prolapse, Hysterectomy, Urinary Tract Infection
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

John A OcchinoDivision of Urogynecology, Mayo Clinic, Rochester, MN, USA. Occhino.john@mayo.edu.
Jenifer N ByrnesDivision of Urogynecology, Mayo Clinic, Rochester, MN, USA.
Pei-Ying WuDepartment of Obstetrics & Gynecology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan, ROC.
Jun ChenDivision of Biomedical Statistics and Informatics Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Marina R Walther-AntonioDepartment of Surgery, Department of Obstetrics and Gynecology, Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is a single Institute, prospective cohort study. We enrolled twenty-two postmenopausal women with pelvic organ prolapse planning to undergo vaginal hysterectomy with transvaginal pelvic reconstructive surgery, with or without a concomitant anti-incontinence procedure. Vaginal swabs and urine samples were longitudinally collected at five time points: preoperative consult visit (T1), day of surgery prior to surgical scrub (T2), immediately postoperative (T3), day of hospital discharge (T4), and at the postoperative exam visit (T5). Women experiencing urinary tract infection symptoms provided a sample set prior to antibiotic administration (T6). Microbiome analysis was performed on vaginal and urinary specimens at each time point. Region V3-V5 of the 16S ribosomal RNA gene was amplified and sequenced. DNA samples were analyzed for visit T1, T2, T5 and T6. Six (27.3%) participants developed postoperative urinary tract infection whose vaginal sample at first clinical visit (T1) revealed beta-diversity analysis with significant differences in microbiome structure and composition. Women diagnosed with a postoperative urinary tract infection had a vaginal microbiome characterized by low abundance of Lactobacillus and high prevalence of Prevotella and Gardnerella species. In our cohort, preoperative vaginal swabs can predict who will develop a urinary tract infection following transvaginal surgery for pelvic organ prolapse.ClinicalTrials.gov Identifier: NCT02751073.

Indexed as

MicrobiotaPelvic Organ ProlapseUrinary Tract InfectionsVaginaAgedFemaleHumansHysterectomy, VaginalLactobacillusMiddle AgedPostoperative ComplicationsPreoperative PeriodPrevotellaProspective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID39578602
PMCPMC11584769

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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.