Evidence map›Paper›PMID 42801055›Full record

ReviewCureus2026

Vaginal Microbiome Profiles and Reproductive Outcomes: Implications for Natural Conception and Assisted Reproduction.

Varsha Prakash, Sarahh Galiotte, Urja Mhatre, Angel Chirayil John, Husnia Ahmadi, Yara Moustafa Manah, Deema Ahmed Ali Elgasim, Aishwarya Sreekumar Nair, Manju Rai

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Varsha PrakashMedicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Sarahh GaliotteObstetrics and Gynaecology, Ross University School of Medicine, New York, USA.
Urja MhatreObstetrics and Gynaecology, University of Lancashire, Burnley, GBR.
Angel Chirayil JohnObstetrics and Gynaecology, Tbilisi State Medical University, Tbilisi, GEO.
Husnia AhmadiObstetrics and Gynaecology, University of California San Diego Medical Center, San Diego, USA.
Yara Moustafa ManahObstetrics and Gynaecology, Mansoura University, Mansoura, EGY.
Deema Ahmed Ali ElgasimObstetrics and Gynaecology, Ain Shams University Hospital, Cairo, EGY.
Aishwarya Sreekumar NairObstetrics and Gynaecology, ACS Medical College and Hospital, Chennai, IND.
Manju RaiBiotechnology, Shri Venkateshwara University, Gajraula, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vaginal microbiome is increasingly recognized as an important determinant of female reproductive health, with emerging evidence linking its composition and function to fertility, implantation, and pregnancy outcomes. This narrative review synthesizes current evidence on the role of the vaginal microbiome in natural conception and assisted reproductive technology (ART), with emphasis on underlying mechanisms, clinical implications, and emerging therapeutic applications. Contemporary literature examining vaginal microbiome composition, community state types (CSTs), host-microbiome interactions, and reproductive outcomes was qualitatively synthesized alongside evidence from mechanistic studies and emerging multi-omics and artificial intelligence (AI)-based approaches.

Indexed as

assisted reproductive technologydysbiosisendometrial receptivityimplantation failurein vitro fertilizationlactobacillus dominancemulti-omicsprecision reproductive medicinereproductive immunologyvaginal microbiome

Identifiers

PMID42801055
PMCPMC13615477

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.