ArticleDiagnostics (Basel, Switzerland)2020
Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia.
Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05122065 (Defining the Vaginal Microbiome and the Vaginal pH of Menopausal Women With and Without Genitourinary Syndrome and With and Without Hormone Replacement Therapy), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Defining the Vaginal Microbiome and the Vaginal pH of Menopausal Women With and Without Genitourinary Syndrome and With and Without Hormone Replacement Therapy
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Vaginal Microbial Risk Factors Associated with Human Papillomavirus-Induced Cervical Intraepithelial Neoplasia: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Disturbances of Vaginal Microbiome Composition in Human Papillomavirus Infection and Cervical Carcinogenesis: A Qualitative Systematic Review.Frontiers in oncology · 2022Pooled it
- Vaginal Microbiota Composition and HPV Genotype-Specific CIN2+ Risk: A Cross-Sectional Study.Diagnostics (Basel, Switzerland) · 2026Article
- Integrating microbiome insights into cervical cancer.Frontiers in medicine · 2026Review
- Microbiome, Human Papillomavirus and Cervical Carcinogenesis.Current topics in microbiology and immunology · 2026Review
- Analysis of the correlation between vaginal microbiota and high-risk human papillomavirus infection and cervical lesions.PloS one · 2026Article
- Article
- Metagenomic insight into the vaginal microbiome in women infected with HPV 16 and 18.NPJ biofilms and microbiomes · 2025Article
- Review
- Vaginal Microbiota and Local Immunity in HPV-Induced High-Grade Cervical Dysplasia: A Narrative Review.International journal of molecular sciences · 2025Review
- Transcriptomic analysis revealsOncology letters · 2024Article
- A Narrative Review of the Putative Etiologic Role and Diagnostic Utility of the Cervicovaginal Microbiome in Human Papillomavirus-Associated Cervical Carcinogenesis.Journal of medical virology · 2024Review
- Co-evolution of vaginal microbiome and cervical cancer.Journal of translational medicine · 2024Article
- Highly specific vaginal microbiome signature for gynecological cancers.Open life sciences · 2024Article
- Analysis of the correlation between cervical HPV infection, cervical lesions and vaginal microecology.Frontiers in cellular and infection microbiology · 2024Article
- Ecoinformatic Analysis of the Gut Ecological Diversity of Wild and Captive Long-Tailed Gorals Using Improved ITS2 Region Primers to Support Their Conservation.Microorganisms · 2023Article
- Compositional Changes in the Vaginal Bacterial Microbiome of Healthy Pregnant Women across the Three Gestational Trimesters in Ismailia, Egypt.Microorganisms · 2023Article
- Leveraging 16S rRNA data to uncover vaginal microbial signatures in women with cervical cancer.Frontiers in cellular and infection microbiology · 2023Article
- Updates on Group BMicroorganisms · 2022Review
- Association of Cervical Dysbacteriosis, HPV Oncogene Expression, and Cervical Lesion Progression.Microbiology spectrum · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Although emerging evidence revealed that the gut microbiome served as a tool and as biomarkers for predicting and detecting specific cancer or illness, it is yet unknown if vaginal microbiome-derived bacterial markers can be used as a predictive model to predict the severity of CIN. In this study, we sequenced V3 region of 16S rRNA gene on vaginal swab samples from 66 participants (24 CIN 1-, 42 CIN 2+ patients) and investigated the taxonomic composition. The vaginal microbial diversity was not significantly different between the CIN 1- and CIN 2+ groups. However, we observed
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Registered trials
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