Evidence map›Paper›PMID 40362199›Full record

ReviewInternational journal of molecular sciences2025

Vaginal Microbiota and Local Immunity in HPV-Induced High-Grade Cervical Dysplasia: A Narrative Review.

Helena C J Schellekens, Lotte M S Schmidt, Servaas A Morré, Edith M G van Esch, Peggy J de Vos van Steenwijk

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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.

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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Immune remodeling in HPV-associated cervical disease.Frontiers in cellular and infection microbiology · 2026
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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

5 authors.

Helena C J SchellekensDepartment of Gynecology and Obstetrics, Maastricht University Medical Centre (MUMC+), 6229 HX Maastricht, The Netherlands.ORCID 0009-0002-0884-2141
Lotte M S SchmidtDepartment of Gynecology and Obstetrics, Maastricht University Medical Centre (MUMC+), 6229 HX Maastricht, The Netherlands.ORCID 0009-0009-7937-0971
Servaas A MorréGROW-School for Oncology and Reproduction, Maastricht University, 6229 ER Maastricht, The Netherlands.
Edith M G van EschDepartment of Gynecology and Obstetrics, Catharina Hospital Eindhoven, 5623 EJ Eindhoven, The Netherlands.ORCID 0000-0001-7387-5922
Peggy J de Vos van SteenwijkDepartment of Gynecology and Obstetrics, Maastricht University Medical Centre (MUMC+), 6229 HX Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persistent high-risk Human Papillomavirus infection is the primary factor in cervical carcinogenesis. However, other host-related features are believed to play a role as well. Recent research suggests that the vaginal microbiome and the immune microenvironment play a significant role in the acquisition and persistence of Human Papillomavirus infection, as well as in the regression or progression of cervical intraepithelial lesions. Studies in this emerging field describe factors associated with this interaction, though the precise nature remains incompletely understood. In this narrative review, we aim to summarize the current literature on the topic and propose hypotheses and recommendations for future research and treatment strategies.

Indexed as

MicrobiotaPapillomaviridaePapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginaFemaleHumanscervical squamous intraepithelial lesionshost immunityHuman Papillomavirusvaginal microbiota

Identifiers

PMID40362199
PMCPMC12071600

What OpenQuestion holds

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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.