ArticleGenes2023
Unraveling the Dysbiosis of Vaginal Microbiome to Understand Cervical Cancer Disease Etiology-An Explainable AI Approach.
Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions.BMC medical informatics and decision making · 2025Pooled it
- Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection.Frontiers in cellular and infection microbiology · 2025Pooled it
- The cervicovaginal gut microbiota axis as a key determinant of systemic physiology.Gut microbes · 2026Review
- Exploring Cervical Cancer-Associated Vaginal and Cervical Microbiota via 16S rRNA Sequencing.MicrobiologyOpen · 2026Article
- Microbiota-Derived Corisin Is Elevated in Early Cervical Neoplasia and Drives Pathogenic Cellular Programs.Cells · 2026Article
- Evaluating Sequencing Strategies for Endometrial Microbiome Profiling in Endometrial Cancer: A Comparative Study of Short- and Long-Read 16S rRNA Approaches.Cancer reports (Hoboken, N.J.) · 2026Article
- Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning.Frontiers in endocrinology · 2026Review
- A reliable and explainable deep learning framework for clinical-grade endocrine disorder risk prediction and decision support.Frontiers in artificial intelligence · 2026Article
- Artificial intelligence-driven screening, early diagnosis, and treatment strategies for cervical cancer: an overview.Infectious agents and cancer · 2025Review
- Vaginal Microenvironment-Driven neural network model for predicting multiple HPV co-infections: a machine learning clinical decision framework.BMC women's health · 2025Article
- Exploring the causal relationship between obesity, immune cell characteristics and cervical cancer risk using Mendelian randomization.Discover oncology · 2025Article
- The Interplay Between Cervicovaginal Microbiota Diversity,Healthcare (Basel, Switzerland) · 2025Review
- The Role of the Vaginal Microbiome in Immune Modulation in Cervical Cancer: Composition, Molecular Mechanisms, and Therapeutic Potential.Clinical Medicine Insights. Oncology · 2025Review
- The untapped potential of vaginal microbiome diagnostics for improving women's health.Frontiers in cellular and infection microbiology · 2025Review
- Association between vaginal microecological alterations and high-risk human papillomavirus infection: a cross-sectional study.Frontiers in cellular and infection microbiology · 2025Article
- Deciphering the impact of microbial interactions on COPD exacerbation: An in-depth analysis of the lung microbiome.Heliyon · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial Dysbiosis is associated with the etiology and pathogenesis of diseases. The studies on the vaginal microbiome in cervical cancer are essential to discern the cause and effect of the condition. The present study characterizes the microbial pathogenesis involved in developing cervical cancer. Relative species abundance assessment identified
Indexed as
Identifiers
What OpenQuestion holds
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.