Evidence map›Paper›PMID 35294133›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2022

Applying latent tree analysis to classify Traditional Chinese Medicine syndromes (Zheng) in patients with psoriasis vulgari.

Wen-Jie Xu, Nevin-L Zhang, Ping Li, Tian-Fang Wang, Wei-Wen Chen, April-H Liu, Meichun Mohler-Kuo

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Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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5 · Who and what money

Authors and funding

7 authors.

Wen-Jie XuBeijing Hospital of Traditional Chinese Medicine, affiliated to Capital Medical University, Beijing 100010, China.
Nevin-L ZhangDepartment of Computer Science and Engineering, the Hong Kong University of Science and Technology, Kowloon, Hong Kong, China.
Ping LiBeijing Research Institute of Chinese Medicine, Beijing 100010, China.
Tian-Fang WangDepartment of TCM Diagnostics, Preclinical School, Beijing University of Traditional Chinese Medicine, Beijing 100029, China.
Wei-Wen ChenBeijing Hospital of Traditional Chinese Medicine, affiliated to Capital Medical University, Beijing 100010, China.
April-H LiuDepartment of Computer Science and Engineering, the Hong Kong University of Science and Technology, Kowloon, Hong Kong, China.
Meichun Mohler-KuoDepartment of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, 8032, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo treat patients with psoriasis vulgaris using Traditional Chinese Medicine (TCM), one must stratify patients into subtypes (known as TCM syndromes or Zheng) and apply appropriate TCM treatments to different subtypes. However, no unified symptom-based classification scheme of subtypes (Zheng) exists for psoriasis vulgaris. The present paper aims to classify patients with psoriasis vulgaris into different subtypes via the analysis of clinical TCM symptom and sign data.

methodsA cross-sectional survey was carried out in Beijing from 2005-2008, collecting clinical TCM symptom and sign data from 2764 patients with psoriasis vulgaris. Roughly 108 symptoms and signs were initially analyzed using latent tree analysis, with a selection of the resulting latent variables then used as features to cluster patients into subtypes.

resultsThe initial latent tree analysis yielded a model with 43 latent variables. The second phase of the analysis divided patients into three subtype groups with clear TCM Zheng connotations: 'blood deficiency and wind dryness'; 'blood heat'; and 'blood stasis'.

conclusionsVia two-phase analysis of clinic symptom and sign data, three different Zheng subtypes were identified for psoriasis vulgaris. Statistical characteristics of the three subtypes are presented. This constitutes an evidence-based solution to the syndromedifferentiation problem that exists with psoriasis vulgaris.

Indexed as

Medicine, Chinese TraditionalPsoriasisCross-Sectional StudiesHot TemperatureHumansSyndromeCluster analysiLatent tree analysiPsoriasis vulgariSyndrome differentiation

Identifiers

PMID35294133
PMCPMC10164626

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