Evidence map›Paper›PMID 31119299›Full record

ArticleHuman reproduction (Oxford, England)2019

The vaginal microbiome as a predictor for outcome of in vitro fertilization with or without intracytoplasmic sperm injection: a prospective study.

R Koedooder, M Singer, S Schoenmakers, P H M Savelkoul, S A Morré, J D de Jonge, L Poort, W J S S Cuypers, N G M Beckers, F J M Broekmans and 7 more

Erratum issued 3 registry-linked trialsAbstract readMulticenter StudyValidation Study
PubMed Publisher
In one paragraph

Article in Human reproduction (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 134 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 8 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.

NCT05328999 recruitingnot on this mapstarted 2022, after this paper: background citation

Fertility and the Microbiome: an Observational Study and Randomized Placebo Controlled Double-blind Pilot Trial

TypeobservationalSponsorMedical University of GrazRan2022 to 2026Enrolled300ConditionsSubfertility, AsthenozoospermiaArmsProbiotics (Omnibiotic (R))
NCT06296615 completednot on this mapstarted 2021, after this paper: background citation

Whether Vaginal Microbiota Affects Pregnancy Outcomes After Embryo Transfer

TypeobservationalSponsorShangHai Ji Ai Genetics & IVF InstituteRan2021 to 2022Enrolled161ConditionsInfertility, Female, Microbial Colonization
NCT07278024 nacompletednot on this mapstarted 2025, after this paper: background citation

To Investigate the Effect of Postbiotic Intervention on Vaginal Microbiota in Infertile Women

TypeinterventionalSponsorKaohsiung Veterans General Hospital.Ran2025 to 2025Enrolled15ConditionsInfertile Women Undergoing IVF or ICSIArmspostbiotics
3 · Its place in the literature

Who cites it

134 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  7. The Role of Genital Tract Microbiome in Fertility: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
  8. Contribution ofFrontiers in cellular and infection microbiology · 2021
    Pooled it
  9. Nutrients · 2025
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  20. Innate Immunity and Microbial Recognition in Reproduction: From Barrier Defense to Maternal-Fetal Tolerance.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review

74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

R KoedooderDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Erasmus University Medical Centre (UMC), Wytemaweg, CN Rotterdam, The Netherlands.
M SingerLaboratory of Immunogenetics, Department of Medical Microbiology and Infection Control, Amsterdam UMC, location VUmc, De Boelelaan, HZ Amsterdam, The Netherlands.
S SchoenmakersDivision Obstetrics and Fetal Medicine, Department of Obstetrics and Gynaecology, Erasmus University Medical Centre, Wytemaweg, CN Rotterdam.
P H M SavelkoulLaboratory of Immunogenetics, Department of Medical Microbiology and Infection Control, Amsterdam UMC, location VUmc, De Boelelaan, HZ Amsterdam, The Netherlands.
S A MorréLaboratory of Immunogenetics, Department of Medical Microbiology and Infection Control, Amsterdam UMC, location VUmc, De Boelelaan, HZ Amsterdam, The Netherlands.
J D de JongeARTPred B.V., Kruisweg, NC Hoofddorp, The Netherlands.
L PoortIS-Diagnostics Ltd, Department of Medical Microbiology and Infection Control, Amsterdam UMC, VUmc, Science park, XG Amsterdam, The Netherlands.
W J S S CuypersDutch Division, MVZ VivaNeo Kinderwunschzentrum Düsseldorf GmbH, Völklinger Straße 4, Düsseldorf, Germany.
N G M BeckersVivaNeo Medisch Centrum Kinderwens, Simon Smitweg, GA Leiderdorp, The Netherlands.
F J M BroekmansDivision of Reproductive Medicine, Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Heidelberglaan, CX Utrecht, The Netherlands.
B J CohlenIsala Voortplantingscentrum, Isala Kliniek, Dokter Spanjaardweg, BT Zwolle, The Netherlands.
J E den HartogDivision of Reproductive Medicine, Department of Obstetrics and Gynaecology, Maastricht Universitair Medisch Centrum+, P. Debyelaan, HX Maastricht, The Netherlands.
K FleischerDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Radboud University Medical Centre, Geert Grooteplein, HB Nijmegen, The Netherlands.
C B LambalkDivision of Reproductive Medicine, Department of Obstetrics and Gynaecology, Amsterdam UMC, location VUmc, De Boelelaan, HV Amsterdam, The Netherlands.
J M J S SmeenkDivision of Reproductive Medicine, Department of Obstetrics and Gynaecology, Sint Elisabeth Ziekenhuis, Hilvarenbeekseweg, GC Tilburg, The Netherlands.
A E BuddingLaboratory of Immunogenetics, Department of Medical Microbiology and Infection Control, Amsterdam UMC, location VUmc, De Boelelaan, HZ Amsterdam, The Netherlands.
J S E LavenDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynaecology, Erasmus University Medical Centre (UMC), Wytemaweg, CN Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

study questionIs the presence or absence of certain vaginal bacteria associated with failure or success to become pregnant after an in vitro fertilization (IVF) or IVF with intracytoplasmic sperm injection (IVF-ICSI) treatment? SUMMARY ANSWER: Microbiome profiling with the use of interspace profiling (IS-pro) technique enables stratification of the chance of becoming pregnant prior to the start of an IVF or IVF-ICSI treatment. WHAT IS KNOWN ALREADY: Live-birth rates for an IVF or IVF-ICSI treatment vary between 25 and 35% per cycle and it is difficult to predict who will or will not get pregnant after embryo transfer (ET). Recently, it was suggested that the composition of the vaginal microbiota prior to treatment might predict pregnancy outcome. Analysis of the vaginal microbiome prior to treatment might, therefore, offer an opportunity to improve the success rate of IVF or IVF-ICSI. STUDY DESIGN, SIZE, DURATION: In a prospective cohort study, 303 women (age, 20-42 years) undergoing IVF or IVF-ICSI treatment in the Netherlands were included between June 2015 and March 2016. PARTICIPANTS/MATERIALS, SETTING,

methodsStudy subjects provided a vaginal sample before the start of the IVF or IVF-ICSI procedure. The vaginal microbiota composition was determined using the IS-pro technique. IS-pro is a eubacterial technique based on the detection and categorization of the length of the 16S-23S rRNA gene interspace region. Microbiome profiles were assigned to community state types based on the dominant bacterial species. The predictive accuracy of the microbiome profiles for IVF and IVF-ICSI outcome of fresh ET was evaluated by a combined prediction model based on a small number of bacterial species. From this cohort, a model was built to predict outcome of fertility treatment. This model was externally validated in a cohort of 50 women who were undergoing IVF or IVF-ICSI treatment between March 2018 and May 2018 in the Dutch division of the MVZ VivaNeo Kinderwunschzentrum Düsseldorf, Germany. MAIN RESULTS AND THE ROLE OF CHANCE: In total, the vaginal microbiota of 192 women who underwent a fresh ET could be analysed. Women with a low percentage of Lactobacillus in their vaginal sample were less likely to have a successful embryo implantation. The prediction model identified a subgroup of women (17.7%, n = 34) who had a low chance to become pregnant following fresh ET. This failure was correctly predicted in 32 out of 34 women based on the vaginal microbiota composition, resulting in a predictive accuracy of 94% (sensitivity, 26%; specificity, 97%). Additionally, the degree of dominance of Lactobacillus crispatus was an important factor in predicting pregnancy. Women who had a favourable profile as well as <60% L. crispatus had a high chance of pregnancy: more than half of these women (50 out of 95) became pregnant. In the external validation cohort, none of the women who had a negative prediction (low chance of pregnancy) became pregnant. LIMITATIONS, REASONS FOR CAUTION: Because our study uses a well-defined study population, the results will be limited to the IVF or IVF-ICSI population. Whether these results can be extrapolated to the general population trying to achieve pregnancy without ART cannot be determined from these data. WIDER IMPLICATIONS OF THE

findingsOur results indicate that vaginal microbiome profiling using the IS-pro technique enables stratification of the chance of becoming pregnant prior to the start of an IVF or IVF-ICSI treatment. Knowledge of their vaginal microbiota may enable couples to make a more balanced decision regarding timing and continuation of their IVF or IVF-ICSI treatment cycles. STUDY FUNDING/COMPETING INTEREST(S): This study was financed by NGI Pre-Seed 2014-2016, RedMedTech Discovery Fund 2014-2017, STW Valorisation grant 1 2014-2015, STW Take-off early phase trajectory 2015-2016 and Eurostars VALBIOME grant (reference number: 8884). The employer of W.J.S.S.C. has in collaboration with ARTPred acquired a MIND subsidy to cover part of the costs of this collaboration project. The following grants are received but not used to finance this study: grants from Innovatie Prestatie Contract, MIT Haalbaarheid, other from Dutch R&D tax credit WBSO, RedMedTech Discovery Fund, (J.D.d.J.). Grants from Ferring (J.S.E.L., K.F., C.B.L. and J.M.J.S.S.), Merck Serono (K.F. and C.B.L.), Dutch Heart Foundation (J.S.E.L.), Metagenics Inc. (J.S.E.L.), GoodLife (K.F.), Guerbet (C.B.L.). R.K. is employed by ARTPred B.V. during her PhD at Erasmus Medical Centre (MC). S.A.M. has a 100% University appointment. I.S.P.H.M.S., S.A.M. and A.E.B. are co-owners of IS-Diagnostics Ltd. J.D.d.J. is co-owner of ARTPred B.V., from which he reports personal fees. P.H.M.S. reports non-financial support from ARTPred B.V. P.H.M.S., J.D.d.J. and A.E.B. have obtained patents `Microbial population analysis' (9506109) and `Microbial population analysis' (20170159108), both licenced to ARTPred B.V. J.D.d.J. and A.E.B. report patent applications `Method and kit for predicting the outcome of an assisted reproductive technology procedure' (392EPP0) and patent `Method and kit for altering the outcome of an assisted reproductive technology procedure' by ARTPred. W.J.S.S.C. received personal consultancy and educational fees from Goodlife Fertility B.V. J.S.E.L. reports personal consultancy fees from ARTPred B.V., Titus Health B.V., Danone, Euroscreen and Roche during the conduct of the study. J.S.E.L. and N.G.M.B. are co-applicants on an Erasmus MC patent (New method and kit for prediction success of in vitro fertilization) licenced to ARTPred B.V. F.J.M.B. reports personal fees from Advisory Board Ferring, Advisory Board Merck Serono, Advisory Board Gedeon Richter and personal fees from Educational activities for Ferring, outside the submitted work. K.F. reports personal fees from Ferring (commercial sponsor) and personal fees from GoodLife (commercial sponsor). C.B.L. received speakers' fee from Ferring. J.M.J.S.S. reports personal fees and other from Merck Serono and personal fees from Ferring, unrelated to the submitted paper. The other authors declare that they have no competing interests. TRIAL REGISTRATION NUMBER: ISRCTN83157250. Registered 17 August 2018. Retrospectively registered.

Indexed as

MicrobiotaAdultBirth RateClinical Decision-MakingDNA, BacterialEmbryo TransferFemaleGermanyHumansInfertility, FemaleLactobacillus crispatusModels, StatisticalNetherlandsPredictive Value of TestsPregnancyProspective StudiesDNA, BacterialRNA, Ribosomal, 16SIVF/IVF-ICSImicrobiomepredictionpregnancy outcomevagina

Identifiers

PMID31119299

What OpenQuestion holds

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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.