Evidence map›Paper›PMID 39338464›Full record

ArticleMicroorganisms2024

Clinical Applicability of Microbiota Sampling in a Subfertile Population: Urine versus Vagina.

Rivka Koedooder, Sam Schoenmakers, Martin Singer, Martine Bos, Linda Poort, Paul Savelkoul, Servaas Morré, Jonathan de Jonge, Dries Budding, Joop Laven

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Rivka KoedooderDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Sam SchoenmakersDivision Obstetrics, Department of Obstetrics and Gynecology, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Martin SingerDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location VUmc, 1081 HV Amsterdam, The Netherlands.
Martine BosinBiome, 1098 XG Amsterdam, The Netherlands.ORCID 0000-0002-4005-7680
Linda PoortinBiome, 1098 XG Amsterdam, The Netherlands.
Paul SavelkoulDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location VUmc, 1081 HV Amsterdam, The Netherlands.
Servaas MorréDepartment of Molecular and Cellular Engineering, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad 211007, India.
Jonathan de JongeARTPred B.V., 1438 AX Oude Meer, The Netherlands.ORCID 0000-0003-2832-1255
Dries BuddinginBiome, 1098 XG Amsterdam, The Netherlands.ORCID 0000-0001-5128-5411
Joop LavenDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.

Funding

Eurostars VALBIOME grant 8884MIND subsidy xNGI Pre-Seed 2014-2016RedMedTech Discovery Fund 2014-2017STW Take-off early phase trajectory 2015-2016STW Valorisation grant 1 2014-2015
6 · The paper itself

Abstract

The urogenital microbiota is increasingly gaining recognition as a significant contributor to reproductive health. Recent studies suggest that microbiota can serve as predictors for fertility treatment outcomes. Our objective was to investigate the degree of similarity in microbial composition between patient-collected urine and vaginal samples in a subfertile population. We enrolled women of reproductive age (20-44 years) diagnosed with subfertility and requiring in vitro fertilization (IVF) or IVF with intracytoplasmic sperm injection (IVF-ICSI) treatment. They self-collected both mid-stream urine samples and vaginal swabs before commencing the IVF or IVF-ICSI procedure. All samples were analysed using the intergenic spacer profiling (IS-pro) technique, a rapid clinical microbiota analysis tool. The main outcome measures were the degree of similarity of microbial composition between the two different, but simultaneously collected, samples. Our findings revealed a high correlation (R squared of 0.78) in microbiota profiles between paired urine and vaginal samples from individual patients. Nevertheless, the urinary microbiota profiles contained fewer species compared to the vaginal microbiota, resulting in minor but distinguishable differences. Furthermore, different subfertility diagnoses appeared to be associated with differences in microbial profiles. A noteworthy observation was the exclusive presence of

Indexed as

IS-proIVF/IVF-ICSImicrobiotaurinevagina

Identifiers

PMID39338464
PMCPMC11434596

What Socratic 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 Socratic graph.