Evidence mapPaperPMID 42539421Full record

ArticleFrontiers in endocrinology2026

Objective tongue phenotyping identifies phenotypic heterogeneity in diabetic kidney disease: a dual-center clustering analysis.

Zhaoxi Dong, Jiayou Liu, Jiyuan Hu, Jiaming Su, Zheyu Xu, Xinhui Yu, Jie Mei, Fengyi Cai, Fawei Li, Xinyue Zang and 8 more

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

18 authors.

Zhaoxi Dong *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jiayou Liu *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jiyuan Hu *Department of Nephrology, Beijing Hospital of Integrated Traditional Chinese and Western Medicine, Beijing, China.
Jiaming SuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zheyu XuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xinhui YuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jie MeiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Fengyi CaiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Fawei LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xinyue ZangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Runze WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yuanhao ChenDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Dongze LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Weihong ChenDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Qingqing LiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Chengdong PengSchool of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China.
Yang ShiTreatment Center of Kidney Disease, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Hongfang LiuDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify tongue-phenotype subtypes in patients with diabetic kidney disease (DKD) using unsupervised clustering of quantified tongue features, and to compare tongue characteristics and laboratory profiles across subtypes. Methods: We enrolled 331 patients with DKD from two hospitals in Beijing. Forty-eight continuous tongue features and 3 ordinal/categorical tongue variables were extracted. Continuous variables were z-score standardized. The optimal number of clusters was determined using the elbow method, silhouette width, and gap statistic. K-means clustering was used as the primary analysis, Ward.D2 hierarchical clustering was applied for robustness validation, and partitioning around medoids (PAM) was additionally used in sensitivity analyses. Agreement between methods was assessed by the adjusted Rand index (ARI) and maximum overlap consistency. Tongue features, 40 laboratory variables, and 7 composite indices were compared between subtypes, with Benjamini-Hochberg (BH) correction applied for multiple testing. Results: Integrating the elbow method, silhouette width, gap statistic, and interpretability, k = 2 was selected. K-means identified Cluster 1 (n = 108, 32.6%) and Cluster 2 (n = 223, 67.4%), with high concordance to hierarchical clustering (maximum overlap consistency, 92.4%; ARI, 0.715). Thirty-nine of 48 continuous tongue features remained significant after correction. Cluster 2 showed higher brightness, lower saturation, a lower coating ratio, thicker coating, and more tooth marks, whereas Cluster 1 showed darker tongue color, higher saturation, more yellow coating, and milder thickness. Coating thickness grade and tooth marks differed significantly between clusters, but fissures did not. No laboratory or composite index differed significantly after multiple imputation and BH correction. Conclusions: Objective tongue phenotyping identified two reproducible DKD subtypes. Tongue-based heterogeneity did not overlap with conventional laboratory profiles, suggesting complementary value for precision syndrome differentiation in DKD.

Indexed as

Diabetic NephropathiesTongueAdultAgedCluster AnalysisClustering AlgorithmsFemaleHumansMaleMiddle AgedPhenotypeclustering analysisdiabetic kidney diseasek-meansobjective tongue diagnosistongue featurestraditional Chinese medicine syndromeunsupervised learning

Identifiers

PMID42539421
PMCPMC13423681

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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 Socratic graph.