Evidence map›Paper›PMID 31191331›Full record

ArticleFrontiers in physiology2019

Tai Chi Ameliorates Coronary Heart Disease by Affecting Serum Levels of miR-24 and miR-155.

Yang Li, Haiyang Zhang, Yushi Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 8 pooled it
6.5field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 8 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  9. Review
  10. The Science of Tai Chi andJournal of integrative and complementary medicine · 2025
    Review
  11. Rehabilitation of Cardiovascular Diseases in China.Journal of geriatric cardiology : JGC · 2024
    Article
  12. 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

3 authors at 1 institution in 1 country.

Yang LiDepartment of Cardiovascular Center, The First Bethune Hospital of Jilin University, Changchun, China.
Haiyang ZhangDepartment of Cardiovascular Center, The First Bethune Hospital of Jilin University, Changchun, China.
Yushi WangDepartment of Cardiovascular Center, The First Bethune Hospital of Jilin University, Changchun, China.
First Bethune Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The protective role of Tai Chi in coronary heart disease (CHD) has been widely reported. However, the exact molecular mechanism remains unclear. Serum levels of miR-24 and miR-155 have been found to potentially be involved with CHD risk. Thus, the effects of Tai Chi on CHD risk were explored by measuring serum levels of miR-24 and miR-155. A total of 326 CHD patients were evenly divided into the Tai Chi (TG) and control (CG) groups. The activities of daily living ability (ADL) and exercise of self-care agency (ESCA) scores were compared between the two groups. Left ventricular ejection fraction (LVEF), SF-36 life quality, self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to evaluate subjects' cardiac function, quality of life, anxiety, and depression. Serum levels of miR-24 and miR-155 were measured by a real-time quantitative polymerase chain reaction (RT-qPCR). After a 6-month Tai Chi intervention, the ESCA, ADL, LVEF, and SF-36 scores in the TG group were higher than those in the CG group (

Indexed as

cardiac functioncoronary heart diseaseself-care abilityserum microRNATai Chi

Identifiers

PMID31191331
PMCPMC6548805
OpenAlexW2947201169

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.