Evidence mapPaperPMID 41924635Full record

ArticleHuman reproduction open2026

Vaginal microbial community state types fail to predict IVF outcomes, whereas

Simon Graspeuntner, Mariia Lupatsii, Noemi Hamala, Antonia Masuch, Marion Depenbusch, Iris Pfeffer, Askan Schultze-Mosgau, Tanja K Eggersmann, Jan Rupp, Georg Griesinger

Abstract read
In one paragraph

Article in Human reproduction open, 2026. 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. Article
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.

Simon GraspeuntnerInstitute of Medical Microbiology, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0000-0002-2546-2223
Mariia LupatsiiInstitute of Medical Microbiology, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0000-0003-1373-8621
Noemi HamalaDepartment of Gynaecological Endocrinology and Reproductive Medicine, University Hospital of Schleswig-Holstein, Campus Lübeck and Universitäres Kinderwunschzentrum Lübeck und Manhagen, Lübeck, Germany.ORCID https://orcid.org/0009-0003-9294-1632
Antonia MasuchDepartment of Gynaecological Endocrinology and Reproductive Medicine, University Hospital of Schleswig-Holstein, Campus Lübeck and Universitäres Kinderwunschzentrum Lübeck und Manhagen, Lübeck, Germany.
Marion DepenbuschDepartment of Gynaecological Endocrinology and Reproductive Medicine, University Hospital of Schleswig-Holstein, Campus Lübeck and Universitäres Kinderwunschzentrum Lübeck und Manhagen, Lübeck, Germany.
Iris PfefferInstitute of Medical Microbiology, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0009-0007-4500-7723
Askan Schultze-MosgauDepartment of Gynaecological Endocrinology and Reproductive Medicine, University Hospital of Schleswig-Holstein, Campus Lübeck and Universitäres Kinderwunschzentrum Lübeck und Manhagen, Lübeck, Germany.
Tanja K EggersmannDepartment of Gynaecological Endocrinology and Reproductive Medicine, University Hospital of Schleswig-Holstein, Campus Lübeck and Universitäres Kinderwunschzentrum Lübeck und Manhagen, Lübeck, Germany.ORCID https://orcid.org/0000-0003-3567-0576
Jan RuppInstitute of Medical Microbiology, University of Lübeck, Lübeck, Germany.ORCID https://orcid.org/0000-0001-8722-1233
Georg GriesingerDepartment of Gynaecological Endocrinology and Reproductive Medicine, University Hospital of Schleswig-Holstein, Campus Lübeck and Universitäres Kinderwunschzentrum Lübeck und Manhagen, Lübeck, Germany.ORCID https://orcid.org/0000-0002-0606-5804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

study questionAre previously proposed vaginal microbial community state types (CSTs) valid predictors of IVF success, or do alternative microbial signatures provide stronger associations? SUMMARY ANSWER: Previously proposed CSTs as predictors of implantation, clinical pregnancy, and live birth were not confirmed, while an interaction between WHAT IS KNOWN ALREADY: Infertility affects 17% of the global population. Only one-third of treatment cycles of assisted reproductive technologies result in embryo implantation, and even fewer lead to clinical pregnancy or live births. While early findings have spurred the development of microbiome-based tests for success prediction, evidence on supporting their reliability remains inconclusive. STUDY DESIGN SIZE DURATION: This prospective, single-centre study aimed to validate existing, and identify better, microbial predictors of infertility treatment outcomes. A cohort of 266 infertile female patients (age 18-45 years) undergoing a frozen-thawed embryo transfer cycle in an anovulatory regimen (i.e. a cycle with transfer of an embryo following a previous oocyte retrieval, fertilization, and freezing of embryos) was recruited for the study within a timeframe from May 2017 to March 2019. PARTICIPANTS/MATERIALS SETTING

methodsThe female, infertile patients, aged 18-45 years, were undergoing routine care. Vaginal swabs were taken prior to embryo transfer and subjected to DNA isolation for 16S-based microbiota analysis. Extended demographic and treatment data were recorded. Clinical outcomes were defined as: (i) implantation, confirmed by a positive hCG test, (ii) clinical pregnancy, and (iii) live birth (defined as the birth of a viable infant). Sequencing data were processed in mothur following established pipelines, and microbial composition (taxonomy) as well as microbial diversity (dissimilarity analyses) were determined using the open-source software R. A prediction model for implantation success was built using binary logistic regression based on abundance of putatively predictive microbial taxa. MAIN RESULTS AND THE ROLE OF CHANCE: This study suggests that vaginal microbial CSTs, alpha-diversity, and the ratio of dominant LARGE SCALE DATA: The raw sequencing data used for this manuscript are publicly available at the European Nucleotide Archive under accession number PRJEB107113. LIMITATIONS REASONS FOR CAUTION: This study is a single-centre study warranting further validation cohorts. Given the variable nature of the vaginal microbiota, sample sizes need to be enlarged for better refinement of the analyses. Further, the underlying mechanistical basis of our findings is yet elusive and clinical translation has yet to be established. WIDER IMPLICATIONS OF THE

findingsWhile this novel association warrants confirmation, the results caution against reliance on previously suggested CSTs as predictors, and highlight the need for refined, reproducible microbiome-based diagnostics in reproductive medicine. STUDY FUNDING/COMPETING INTERESTS: Financial support was received from the University of Lübeck and the German Center of Infection Research. M.L., A.M., I.P., M.D., and J.R. declare no conflicts of interest. S.G. discloses personal fees from Organon outside the submitted work. T.K.E. discloses honoraria from Ferring; travel support from Ferring, Merck, Theramex, and Gedeon-Richter; and receipt of equipment/materials/laboratory analyses (to institution) from Arthrex, Besins, Merck, and Abbott outside the submitted work. N.H. discloses personal fees from Gedeon Richter, Ferring, and Merck. G.G. reports that his institution received grants or contracts from Besins, Merck, Abbott, Ferring, and Theramex. He has received personal consulting fees, support for travel fees and meeting attendance, and honoraria for lectures or educational events from Organon, Ferring, Merck, Gedeon-Richter, Theramex, Abbott, ReproNovo, Igyxos, OxoLife, Philipps, ReprodWissen, PregLem, Guerbet, Roche, IBSA, and Besins. He also received support for travel and meeting attendance from Merck, Organon, Ferring, Theramex, Gedeon-Richter, and Abbott. Additionally, he holds unpaid leadership positions as a member of the ESHRE Working Group on RIF, the ESHRE Working Group on clinical KPI, and the ESHRE guideline development group on ovarian stimulation. A.S.-M. reports consulting fees and speaker's fees from Merck, Theramex, and Gedeon-Richter as well as travel support from Merck, Theramex, Gedeon-Richter, IBSA, Ferring, and MSD.

Indexed as

assisted reproductiondydrogesteroneIVFLactobacillus fornicalisLactobacillus inerstreatment predictionUreaplasma parvumvaginal microbiota

Identifiers

PMID41924635
PMCPMC13037765

What Socratic holds

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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 Socratic graph.