Evidence map›Paper›PMID 39976025›Full record

ArticleCurrent medicinal chemistry2026

Bibliometric Analysis of Research on Traditional Chinese Medicine Treatment of Myocardial Infarction from 2007 to 2024 Based on the Web of Science Database.

Qi Lan, Hao Wu, Ming-Tai Chen, Jin-Yi Xue, Maryam Mazhar, Zi-Wen Deng, Yuan Zou, Ping Liu, Gang Luo, Li Dong and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Current medicinal chemistry, 2026. 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

11 authors.

Qi LanAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0004-6061-6138
Hao WuAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0000-5203-5713
Ming-Tai ChenShenzhen Traditional Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, 518000, China.ORCID 0000-0003-4579-5559
Jin-Yi XueAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0001-1300-2326
Maryam MazharAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0000-0002-1944-159x
Zi-Wen DengAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0003-1250-1267
Yuan ZouAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0007-9146-1548
Ping LiuAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0000-0001-7085-2098
Gang LuoAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0001-8476-1151
Li DongAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0009-0001-0867-4216
Meng-Nan LiuAffiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, 646000, China.ORCID 0000-0001-9991-642X

Funding

2024 Traditional Chinese Medicine Guangdong Provincial Laboratory Project HQCML-C-2024005National Natural Science Foundation of China 82074378Project of Office of Science & Technology and talent work of Luzhou 2023JYJ029, 2022JYJ104Project of Science & Technology Department of Sichuan Province 2022YFS0618Project of Southwest Medical University 2023ZYYQ04, 2024ZKZ007, 202410632043Shenzhen Medical Research Fund A2403028Shenzhen Science and Technology Program JCYJ20230807094603007, JCYJ20- 240813152440051
6 · The paper itself

Abstract

backgroundMyocardial infarction (MI) is a common critical syndrome in the late development of cardiovascular diseases (CVDs), and traditional Chinese Medicine (TCM) treatment has become an essential branch in this field.

objectiveThis study aimed to use bibliometric methods to examine the research trajectory of TCM treatment of MI from 2007 to 2024 from a multidimensional perspective and analyse its characteristics, hotspots, and frontiers.

methodsThis study used the search formula TS OR TI OR AB OR A ("traditional Chinese medicine" or "Chinese medicine" or "TCM" or "traditional medicine, Chinese" or " Chinese traditional medicine" or "Chinese medicine, traditional") AND TS OR TI OR AB OR AK ("myocardial infarction" or "myocardial infarctions" or " infarction, myocardial" or "infarctions, myocardial" or "myocardial infarct" or "MI") to find the Web of Science Core Collection (WOSCC) of relevant studies from 01/01/2007 to 04/29/2024. Target literature records were analysed and graphed using CiteSpace, VOSviewer, and Scimago Graphica.

resultsA total of 754 records were obtained and 399 records were finally retained after screening. Countries, institutions, authors, and journals were visually analyzed. The current research hotspots and frontiers included Salvia miltiorrhiza, ischemia-reperfusion injury, pathway, molecular docking, and network pharmacology.

conclusionThis research study would enrich the researchers' understanding of the existing research methodology and future development trends and provide a more efficient research methodology for the research on the mechanism of action of TCM for the treatment of MI and its clinical trials.

Indexed as

BibliometricsDrugs, Chinese HerbalMedicine, Chinese TraditionalMyocardial InfarctionDatabases, FactualHumansDrugs, Chinese HerbalbibliometricCiteSpacemolecular docking.myocardial infarctionTraditional chinese medicineVOSviewer

Identifiers

What OpenQuestion holds

Textmetadata
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.