Evidence map›Paper›PMID 40955202›Full record

ReviewNeuropsychiatric disease and treatment2025

Evidence Based Research on Medication Patterns in the Traditional Chinese Medicine Treatment of Tic Disorders: A Complete Review.

Boling Li, Jingjing Zhu, Beng Zhang, Zhenzhen Ling, Yonglie Zhao, Wendiao Leng, Qinhong Zhang, Xiaoqing Zhou

Abstract readReview
In one paragraph

Review in Neuropsychiatric disease and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Boling LiDepartment of Acupuncture and Moxibustion, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518000, People's Republic of China.
Jingjing ZhuDepartment of Neurology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450000, People's Republic of China.
Beng ZhangDepartment of Acupuncture and Moxibustion, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518000, People's Republic of China.
Zhenzhen LingDepartment of Acupuncture and Moxibustion, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518000, People's Republic of China.
Yonglie ZhaoDepartment of Neurology, The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, 100000, People's Republic of China.
Wendiao LengDepartment of Acupuncture and Moxibustion, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518000, People's Republic of China.
Qinhong ZhangDepartment of Acupuncture and Moxibustion, Heilongjiang University of Chinese Medicine, Harbin, 150000, People's Republic of China.ORCID 0000-0002-0780-5640
Xiaoqing ZhouDepartment of Acupuncture and Moxibustion, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the medication principles of Traditional Chinese Medicine (TCM) in the treatment of tic disorders (TD) and to provide evidence-based references for clinical practice. Patients and Methods: A comprehensive search was conducted for literature on the treatment of TD using TCM from CNKI, Wan Fang Data, VIP, and PubMed. Based on the inclusion and exclusion criteria, TCM prescriptions were extracted and entered into an Excel 2020 database. Statistical analyses, including frequency analysis, association rule mining, and hierarchical clustering, were performed using Excel 2020, SPSS Modeler 18.0, and SPSS Statistics 26.0 software. Results: Totally 559 articles were included, comprising 1001 prescriptions, 369 herbs, and 13,678 frequencies. The properties of the herbs were primarily cold, warm, and mild, with the most common flavors being sweet, bitter, and pungent. The most frequent meridians were the liver, lung, and spleen. High-frequency herbs included Radix paeonia alba, Uncaria rhynchophylla, and Glycyrrhiza, etc. The primary efficacy included liver-soothing and wind-calming, tonifying spleen and Qi, and resuscitation-inducing aromatic, etc. The most frequent herb pairs were Uncaria rhynchophylla-Radix paeonia alba, Uncaria rhynchophylla-Glycyrrhiza, Radix paeonia alba-Glycyrrhiza, and Uncaria rhynchophylla-Glycyrrhiza-Radix paeonia alba, Radix paeonia alba-Gastrodia elata-Uncaria rhynchophylla. Forty herbs had a frequency of >100, which could be classified into 6 clusters: (1) hepatotropic and neuroregulatory herbs; (2) tonifying herbs; (3) hydragogue and dampness-regulating herbs, etc. Additionally, there were specific herb combinations such as Bupleurum chinense for liver-soothing, insect herbs for wind-expelling and meridian-unblocking, and Angelica sinensis and Ligusticum wallichii for removing blood stasis. Conclusion: This study highlights the key medication principles and herb combinations used in the treatment of TD with TCM, providing valuable insights into current treatment practices. Further research, including standardized clinical assessments and investigation into the mechanisms of these herbs and their combinations, is needed to validate and optimize their potential therapeutic effects.

Indexed as

data miningherbsregularityTic disorderstraditional Chinese medicine

Identifiers

PMID40955202
PMCPMC12433636

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.