ArticleEvidence-based complementary and alternative medicine : eCAM2013
ZHENG-Omics Application in ZHENG Classification and Treatment: Chinese Personalized Medicine.
Article in Evidence-based complementary and alternative medicine : eCAM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- 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 · 2025Article
- The Phytoneuroendocrine System: Connecting Plants to Human Systems Biology.Integrative medicine (Encinitas, Calif.) · 2024Review
- The Medicinal Plant PairFrontiers in pharmacology · 2019Article
- Differential gene expression profiles between two subtypes of ischemic stroke with blood stasis syndromes.Oncotarget · 2017Article
- Syndrome Differentiation of IgA Nephropathy Based on Clinicopathological Parameters: A Decision Tree Model.Evidence-based complementary and alternative medicine : eCAM · 2017Article
- Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis.Chinese medicine · 2016Article
- Study on Yang-Xu Using Body Constitution Questionnaire and Blood Variables in Healthy Volunteers.Evidence-based complementary and alternative medicine : eCAM · 2016Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the hope to provide an effective approach for personalized diagnosis and treatment clinically, traditional chinese medicine (TCM) is being paid increasing attention as a complementary and alternative medicine. It performs treatment based on ZHENG (TCM syndrome) classification, which could be identified clinical special phenotypes by symptoms and signs of patients even if they have a different disease. However, it caused controversy because ZHENG classification only depends on observation, knowledge, and clinical experience of TCM practitioners, which lacks objectivity and repeatability. Although researchers and scientists of TCM have done some work with a lot of beneficial methods, the results could not reach satisfactory with the shortcomings of generalizing the entire state of the body or ignoring the patients' feelings. By total summary, mining, and integration of existing researches, the present paper attempts to introduce a novel macro-microconcept of ZHENG-omics, with the prospect of bright future in providing an objective and repeatable approach for Chinese personalized medicine in an effective way. In this paper, we give the brief introduction and preliminary validation, and discuss strategies and system-oriented technologies for achieving this goal.
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Registered trials
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