Evidence map›Paper›PMID 35002950›Full record

ReviewFrontiers in endocrinology2021

Syndrome Differentiation and Treatment Regularity in Traditional Chinese Medicine for Type 2 Diabetes: A Text Mining Analysis.

Zhili Dou, Ye Xia, Jiawei Zhang, Yizhen Li, Yunan Zhang, Lei Zhao, Zhe Huang, Haonan Sun, Lin Wu, Dongran Han and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 5 pooled it
–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

48 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025
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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

11 authors.

Zhili DouSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Ye XiaSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Jiawei ZhangSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Yizhen LiSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Yunan ZhangSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Lei ZhaoSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Zhe HuangSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Haonan SunSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Lin WuSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Dongran HanSchool of Life and Science, Beijing University of Chinese Medicine, Beijing, China.
Yixing LiuSchool of Management, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The goal of this study was to systematically summarize and categorize the syndrome differentiation, medication rules, and acupoint therapy in the domestic traditional Chinese medicine (TCM) literature on type 2 diabetes mellitus (T2DM), such that guidelines and new insights can be provided for future practitioners and researchers. Methods: Taking randomized controlled trials (RCTs) on the treatment of T2DM in TCM as the research theme, we searched for full-text literature in three major clinical databases, including CNKI, Wan Fang, and VIP, published between 1990 and 2020. We then conducted frequency statistics, cluster analysis, association rules extraction, and topic modeling based on a corpus of medical academic words extracted from 3,654 research articles. Results: The TCM syndrome types, subjective symptoms, objective indicators, Chinese herbal medicine, acupuncture points, and TCM prescriptions for T2DM were compiled based on invigorating the kidney and Conclusion: This study provides an in-depth perspective for the TCM syndrome differentiation, medication rules, and acupoint therapy for T2DM and provides practitioners and researchers with valuable information about the current status and frontier trends of TCM research on T2DM in terms of both diagnosis and treatment.

Indexed as

Diagnosis, DifferentialAcupuncture PointsAcupuncture TherapyChinaData MiningDiabetes Mellitus, Type 2Drugs, Chinese HerbalHumansMedicine, Chinese TraditionalPractice Patterns, Physicians'Randomized Controlled Trials as TopicSyndromeDrugs, Chinese Herbalacupoint therapyChinese herbal medicinetext miningtraditional Chinese medicine syndromestype 2 diabetes mellitus

Identifiers

PMID35002950
PMCPMC8733618

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.