Evidence map›Paper›PMID 40626037›Full record

ArticleJournal of inflammation research2025

Oral Health and Diabetic Cardiomyopathy: Mechanisms, Biomarkers, and Early Screening Approaches.

Junhao Fang, Yanlin Wu, Han Wang, Jiale Zhang, Liangzhen You

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Junhao Fang *College of Stomatology, Hangzhou Normal University, Hangzhou, People's Republic of China.
Yanlin Wu *School of Clinical Medicine, Hangzhou Normal University, Hangzhou, People's Republic of China.
Han WangCollege of Stomatology, Hangzhou Normal University, Hangzhou, People's Republic of China.
Jiale ZhangInstitute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.ORCID 0000-0002-6390-9591
Liangzhen YouKey Laboratory of Chinese Internal Medicine of Ministry of Education, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic Cardiomyopathy (DCM) is a common cardiovascular complication in patients with diabetes. In recent years, the association between oral health and diabetic heart disease has gained increasing attention. This perspective reviews the potential mechanisms of oral diseases in diabetic heart disease, oral indicators for early screening of diabetic heart disease, and proposes future research directions. The potential mechanisms of oral diseases in diabetic heart disease primarily involve abnormal activation of inflammatory responses, dysregulation of the oral microbiome, and immune system disorders. In the context of early screening for diabetic heart disease, oral health indices, salivary biomarkers, and the oral microbiome serve as critical oral indicators with significant clinical value for early diagnosis. Future research should promote interdisciplinary diagnosis and collaboration, develop non-invasive early screening technologies, integrate multimodal and multi-omics oral data, leverage large-scale multicenter clinical data to comprehensively evaluate the association between oral health indicators and diabetic cardiomyopathy, and simultaneously train and validate precise artificial intelligence models. This perspective integrates existing research findings on the role of oral health in diabetic heart disease, highlights current research limitations, and emphasizes the need for further studies to clarify causal relationships and facilitate widespread clinical application.

Indexed as

diabetic cardiomyopathymachine learningmechanismoral health statusscreening indicators

Identifiers

PMID40626037
PMCPMC12230323

What OpenQuestion holds

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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.