Evidence map›Paper›PMID 42436813›Full record

ArticleJAMIA open2026

Mapping oral-systemic health relationships: a data-driven analysis of co-occurrence patterns in biomedical literature.

Bhumi Patel, Janusz Wojtusiak

Abstract read
In one paragraph

Article in JAMIA open, 2026. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Bhumi PatelDepartment of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, VA 22030, United States.
Janusz WojtusiakDepartment of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, VA 22030, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically map co-occurrence patterns between systemic medical conditions and oral diseases in the biomedical literature. Materials and Methods: We conducted a large-scale bibliometric analysis of PubMed-indexed literature from 1995 to 2025. Using automated Application Programming Interface queries, we retrieved publications jointly referencing 256 systemic conditions (defined using the Agency for Healthcare Research and Quality's Clinical Classifications Software) and 5 oral health conditions (periodontal disease, dental caries, tooth loss, oral ulcers, and oral cancers). Search strategies combined Medical Subject Headings and title/abstract terms. Co-occurrence data were normalized using max scaling and analyzed using hierarchical clustering, K-means clustering, and network visualizations. This study reports associations between conditions and not causal relationships. Results: The search identified 79 817 co-mention instances across 39 782 unique publications. Of 256 medical conditions, 237 co-occurred with at least one oral condition. Periodontal diseases and oral cancers accounted for the largest share of co-mentions (42 554 and 38 735, respectively). Hierarchical clustering of systemic conditions revealed eight clusters, including malignancies strongly co-occurring with oral cancers and immunity disorders co-occurring with periodontal diseases. Dental conditions grouped into three clusters: (1) caries, ulcers, and tooth loss; (2) oral cancers; and (3) periodontal diseases. Publication-level clustering identified 6 thematic domains dominated by oncology and inflammation research. Conclusion: This study provides a data-driven overview of oral-systemic health research across three decades, highlighting well-studied co-occurrence patterns, such as periodontal-diabetes, oral cancer-malignancies and less frequently represented areas involving caries, ulcers, and tooth loss, underscoring opportunities for interdisciplinary research and integrated care models.

Indexed as

bibliometricscluster analysiscomorbiditymachine learningoral health

Identifiers

PMID42436813
PMCPMC13354603

What OpenQuestion holds

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LicenceCC BY
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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.