Evidence map›Paper›PMID 41001549›Full record

ArticleResearch square2025

Representing Dental Caries and Dysbiosis within the Oral Microbiome in the Oral Health and Disease Ontology.

William D Duncan, Amarpreet Sabharwal, Alexander D Diehl, Nivedita Dutta, Matthew Diller, Marcin P Joachimiak, Gopikrishnan M Chandrasekharan

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In one paragraph

Article in Research square, 2025. 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
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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

5 · Who and what money

Authors and funding

7 authors.

William D DuncanUniversity of Florida College of Dentistry.
Amarpreet SabharwalWestern University.
Alexander D DiehlUniversity at Buffalo.
Nivedita DuttaSelf-Employed Clinician and Clinical Researcher.
Matthew DillerNational Library of Medicine, National Institutes of Health.
Marcin P JoachimiakLawrence Berkeley National Laboratory.
Gopikrishnan M ChandrasekharanIndiana University Indianapolis.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dental caries is an oral health condition in which cariogenic bacteria demineralize and decay teeth. It arises due to interaction between the host, environment, and oral microbiome. Current terminologies and ontologies, however, do not accurately represent the important role that the microbiome has in the formation of carious lesions. Rather, they focus on the anatomical features of carious lesions and often obfuscate the distinctions between dental caries as a disease affecting a tooth, as lesions that are produced because of the disease, and as lesions produced as a result of dysbiosis in the oral microbiome. To capture the current state of evidence and provide flexibility for evolving literature on host-environment-microbiome interactions, there is a need to revise and expand the ontological framework for dental caries. Results: Several established terminologies and ontologies were reviewed for terms used to represent dental caries and the oral microbiome. We found that they either did not represent or misrepresented the current scientific understanding of caries and its relation to the microbial dysbiosis. As a result of these deficiencies, we added terms and relations to the Oral Health and Disease Ontology (OHD) that more accurately represent how oral microbial dysbiosis influences the development of dental caries. Conclusions: The Oral Health and Disease Ontology is an advance over existing ontologies for representing the impact of oral microbial dysbiosis on dental caries. It provides a semantic framework that better serves the needs of cariology researchers and can more easily incorporate new oral microbiome findings.

Indexed as

dental cariesmicrobial dysbiosisOral Health and Disease Ontologyoral microbiome

Identifiers

PMID41001549
PMCPMC12458555

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Registered trials

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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.