Evidence map›Paper›PMID 42015788›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2026

Tongue-coating microbiome as a predictor of solid tumors: an updated scoping review of clinical studies.

L I Kexin, Yang Jinzu, Xiao Kunlin, Duan Shaojie, Xiao Kunmin

Abstract readScoping Review
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 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

5 authors.

L I KexinDepartment of Traditional Chinese Medicine,Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences,Beijing100730,China.
Yang JinzuDepartment of Oncology,Longhua Hospital, Shanghai University of Traditional Chinese Medicine,Shanghai200032,China.
Xiao KunlinDepartment of Emergency,Zhongshan Hospital, Fudan University,Shanghai200030,China.
Duan ShaojieDepartment of Geriatrics,Taizhou Central Hospital,Taizhou318000,China.
Xiao KunminDepartment of Oncology,Longhua Hospital, Shanghai University of Traditional Chinese Medicine,Shanghai200032,China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the potential of tongue coating microbiota as a non-invasive biomarker for cancer and precancerous lesions by integrating insights from multi-omics technologies and Traditional Chinese Medicine (TCM) tongue diagnosis. By bridging modern molecular research with TCM diagnostic principles, this study systematically reviewed the relationship between tongue microbiota and oncological conditions, identifying 18 eligible studies through searches in PubMed, Embase, and Web of Science. The analysis reveals significant differences in microbial diversity, abundance, metabolic pathways, and functional characteristics, which enable the partial differentiation of cancer patients from healthy individuals. However, existing research remains constrained by limited sample sizes, inconsistent analytical approaches, and a lack of integrated multi-dimensional datasets. This review highlights the promising diagnostic potential of the tongue coating microbiota in cancer detection, while suggesting that future studies should focus on standardizing methodologies and employing integrated multi-omics approaches to elucidate underlying mechanisms and advance clinical applications.

Indexed as

MicrobiotaNeoplasmsTongueHumansMedicine, Chinese TraditionalMultiomicsnon-invasive biomarkersreviewsolid tumorstongue coating microbiotatongue diagnosis

Identifiers

PMID42015788
PMCPMC13077113

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.