Evidence map›Paper›PMID 36343087›Full record

ArticleMedicine2022

Analysis of prescription medication rules of traditional Chinese medicine for bradyarrhythmia treatment based on data mining.

Xujie Wang, Xuexue Zhang, Jiaxi Li, Biaoyan Hu, Jiwei Zhang, Wantong Zhang, Weiliang Weng, Qiuyan Li

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Xujie WangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xuexue ZhangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jiaxi LiShanxi University of Chinese Medicine, Taiyuan, China.
Biaoyan HuPeking University, Beijing, China.
Jiwei ZhangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Wantong ZhangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Weiliang WengXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Qiuyan LiXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.ORCID 0000-0001-7456-7323
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNShanxi University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple studies have revealed that Traditional Chinese Medicine (TCM) prescriptions can provide protective effect on the cardiovascular system, increase the heart rate and relieve the symptoms of patients with bradyarrhythmia. In China, the TCM treatment of bradyarrhythmia is very common, which is also an effective complementary therapy. In order to further understand the application of Chinese medicines in bradyarrhythmia, we analyzed the medication rules of TCM prescriptions for bradyarrhythmia by data mining methods based on previous clinical studies.

methodsWe searched studies reporting the clinical effect of TCM on bradyarrhythmia in the PubMed and Chinese databases China National Knowledge Infrastructure database, and estimated publication bias by risk of bias tools ROB 2. Descriptive analysis, hierarchical clustering analysis and association rule analysis based on Apriori algorithm were carried out by Microsoft Excel, SPSS Modeler, SPSS Statistics and Rstidio, respectively. Association rules, co-occurrence and clustering among Chinese medicines were found.

resultsA total of 48 studies were included in our study. Among the total 99 kinds of Chinese medicines, 22 high-frequency herbs were included. Four new prescriptions were obtained by hierarchical cluster analysis. 81 association rules were found based on association rule analysis, and a core prescription was intuitively based on the grouping matrix of the top 15 association rules (based on confidence level), of which Guizhi, Zhigancao, Wuweizi, Chuanxiong, Danshen, Danggui, Huangqi, Maidong, Dangshen, Rougui were the most strongly correlated herbs and in the core position.

conclusionIn this study, data mining strategy was applied to explore the TCM prescription for the treatment of bradyarrhythmia, and high-frequency herbs and core prescription were found. The core prescription was in line with the treatment ideas of TCM for bradyarrhythmia, which could intervene the disease from different aspects and adjust the patient's Qi, blood, Yin and Yang, so as to achieve the purpose of treatment.

Indexed as

Drugs, Chinese HerbalPrescription DrugsSalvia miltiorrhizaBradycardiaData MiningHumansMedicine, Chinese TraditionalPrescriptionsDrugs, Chinese HerbalPrescription Drugs

Identifiers

PMID36343087
PMCPMC9646641
OpenAlexW4308637976

What OpenQuestion holds

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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.