ArticleChinese medicine2025
Clinical study of intelligent tongue diagnosis and oral microbiome for classifying TCM syndromes in MASLD.
Article in Chinese medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- From mouth to muscle: mechanistic and interventional perspectives on the tongue-coating microbiome in sarcopenia.Journal of translational medicine · 2026Review
- Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology.MedComm · 2026Review
- Objective tongue phenotyping identifies phenotypic heterogeneity in diabetic kidney disease: a dual-center clustering analysis.Frontiers in endocrinology · 2026Article
- Objective pulse wave amplitude as a potential systemic correlate in childhood myopia: a digital TCM-based study.Frontiers in medicine · 2026Article
- Integration of tongue image features and tongue coating microbiome for differentiating dampness patterns in MASLD.Frontiers in endocrinology · 2026Article
- Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model.Frontiers in physiology · 2025Article
- Intelligent tongue and facial image analysis for noninvasive prediction of glucolipid metabolic disorders.Digital healthArticle
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
backgroundThis study aimed to analyze the tongue image features and oral microbial markers in different TCM syndromes related to metabolic dysfunction-associated steatotic liver disease (MASLD).
methodsThis study involved 34 healthy volunteers and 66 MASLD patients [36 with Dampness-Heat (DH) and 30 with Qi-Deficiency (QD) syndrome]. Oral microbiome analysis was conducted through 16S rRNA sequencing. Tongue image feature extraction used the Uncertainty Augmented Context Attention Network (UACANet), while syndrome classification was performed using five different machine learning methods based on tongue features and oral microbiota.
resultsSignificant differences in tongue color, coating, and oral microbiota were noted between DH band QD syndromes in MASLD patients. DH patients exhibited a red-crimson tongue color with a greasy coating and enriched Streptococcus and Rothia on the tongue. In contrast, QD patients displayed a pale tongue with higher abundances of Neisseria, Fusobacterium, Porphyromonas and Haemophilus. Combining tongue image characteristics with oral microbiota differentiated DH and QD syndromes with an AUC of 0.939 and an accuracy of 85%.
conclusionThis study suggests that tongue characteristics are related to microbial metabolism, and different MASLD syndromes possess distinct biomarkers, supporting syndrome classification.
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.