Evidence map›Paper›PMID 35723812›Full record

ArticleChinese journal of integrative medicine2023

Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup.

Xiao-Qing Liu, Run-Shun Zhang, Xue-Zhong Zhou, Hong Zhou, Yu-Yao He, Shu Han, Jing Zhang, Zi-Xin Shu, Xue-Bin Zhang, Jing-Hui Ji and 16 more

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Article in Chinese journal of integrative medicine, 2023. 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
0.9field-weighted citation impact, top 21% of its field
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.

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

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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

26 authors at 7 institutions in 2 countries.

Xiao-Qing LiuDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Run-Shun ZhangDepartment of Gastroenterology, Guanganmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Xue-Zhong ZhouSchool of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
Hong ZhouDepartment of Neurology, Weifang Hospital of Traditional Chinese Medicine, Weifang, Shandong Province, 261041, China.
Yu-Yao HeDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Shu HanDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Jing ZhangDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Zi-Xin ShuSchool of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
Xue-Bin ZhangBeijing Zhong Teng Bai Mai Medical Technology Co. Ltd., Beijing, 100027, China.
Jing-Hui JiSchool of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
Quan ZhongSchool of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.
Li-Li ZhangBeijing Zhong Teng Bai Mai Medical Technology Co. Ltd., Beijing, 100027, China.
Zi-Jun MouInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Li-Yun HeInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Lun-Zhong ZhangDepartment of Neurology, Weifang Hospital of Traditional Chinese Medicine, Weifang, Shandong Province, 261041, China.
Jie YangBeijing Zhong Teng Bai Mai Medical Technology Co. Ltd., Beijing, 100027, China.
Yan-Jie HuDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Zheng-Guang ChenDepartment of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Xiao-Zhen LiDepartment of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Yan TanSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China.
Zhan-Feng YanDepartment of Otolaryngology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100029, China.
Ke-Gang CaoDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Wei MengDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
He ZhaoDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Wei ZhangDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Li-Qun ZhongDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China. zhongliqun163@163.com.
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNBeijing Jiaotong University · CNBeijing Zhongke Science and Technology (China) · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNWeifang Chinese Medicine Hospital · CNBeijing University of Chinese Medicine · CNHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.

methodsBy extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup.

resultsSeven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens.

conclusionsThere were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.

Indexed as

Ischemic StrokeHumansLiverMedicine, Chinese TraditionalPhenotypeSyndromeChinese medicineischemic strokepatient similarity networksubgroupsyndrome

Identifiers

PMID35723812
OpenAlexW4283157104

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