ArticleJournal of clinical periodontology2026
Oral-Rinse-Sourced Microbiota in Oral Health and Diseases in a Representative US Adult Population: Implications for Diagnostics.
Article in Journal of clinical periodontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The Actinobacteria-to-Proteobacteria (A/P) Ratio: A Novel Oral Microbial Marker for Metabolic Syndrome.International dental journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
aimsTo investigate the associations between oral-rinse microbiota and distinct oral conditions, and further evaluate its potential ability to distinguish periodontitis severity.
methodsOral-rinse-sourced microbiota with 16S ribosomal RNA sequencing from 3770 adults in US National Health and Nutrition Examination Survey 2009-2012 were analysed across oral health, caries, periodontitis, co-existing caries and periodontitis and edentulism. Diagnostic potential of the oral-rinse microbiota for periodontitis severity was evaluated using multi-class random forest (RF) model with internal validation and external validation in an independent cohort (n = 392).
resultsOral condition accounted for substantial variance in oral-rinse microbiota, revealing disease or tooth loss-associated shifts. Increasing acidogenic/aciduric taxa (Veillonella, Lactobacillus, Atopobium) or periodontitis-associated taxa (Filifactor, Treponema, Tannerella) were identified in caries-only or periodontitis-only groups, respectively, while the co-existing disease group showed overlapping shifts. Taxa shifted dose-dependently with increasing periodontitis severity. The RF model achieved moderate performance in identifying severe periodontitis, with the area under the receiver operating characteristic curve (AUROC) of 0.81 (0.75-0.87) internally and 0.83 (0.77-0.88) externally. Key contributing taxa aligned with established periodontitis-associated genera, supporting model interpretability.
conclusionBased on our results, oral-rinse microbiota captures disease-specific signatures across oral conditions, supporting its potential as a non-invasive tool to monitor oral microbial ecology and assess periodontitis severity at the population level.
Indexed as
Identifiers
What Socratic 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 Socratic graph.