Evidence map›Paper›PMID 38347793›Full record

ReviewCurrent pharmaceutical biotechnology2024

Traditional Chinese Medicine-based Treatment in Cardiovascular Disease: Potential Mechanisms of Action.

Lanlan Li, Yutong Ran, Jiao Wen, Yirui Lu, Shunmei Liu, Hong Li, Min Cheng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.6field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Lanlan LiSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Yutong RanSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Jiao WenSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Yirui LuSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Shunmei LiuSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Hong LiSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Min ChengSchool of Basic Medicine Sciences, Weifang Medical University, Weifang, Shandong, 261053, P.R. China.
Weifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular Disease (CVD) is the leading cause of morbidity and death worldwide and has become a global public health problem. Traditional Chinese medicine (TCM) has been used in China to treat CVD and achieved promising results. Therefore, TCM has aroused significant interest among pharmacologists and medical practitioners. Previous research showed that TCM can regulate the occurrence and development of atherosclerosis (AS), ischemic heart disease, heart failure, myocardial injury, and myocardial fibrosis by inhibiting vascular endothelial injury, inflammation, oxidant stress, ischemia-reperfusion injury, and myocardial remodeling. It is well-known that TCM has the characteristics of multi-component, multi-pathway, and multitarget. Here, we systematically review the bioactive components, pharmacological effects, and clinical application of TCM in preventing and treating CVD.

Indexed as

Cardiovascular DiseasesDrugs, Chinese HerbalMedicine, Chinese TraditionalAnimalsHumansDrugs, Chinese Herbalatherosclerosis.bioactive componentCardiovascular diseaseclinical applicationpharmacological effectstraditional chinese medicine

Identifiers

PMID38347793
OpenAlexW4391785052

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.