Evidence map›Paper›PMID 38373214›Full record

ArticleAnnals of medicine2024

Tai Chi training as a primary care plan for the prevention and management of hypertension: an opinion and positioning article.

Ting Zhang, Shuman Yang, Wei Liu, Qingping Bai, Song Gao

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

Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

5 authors at 2 institutions in 1 country.

Ting ZhangCollege of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, China.
Shuman YangCollege of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, China.
Wei LiuPhysical Education College, Guangxi University of Science and Technology, Liuzhou, China.
Qingping BaiPhysical Education College, Guangxi University of Science and Technology, Liuzhou, China.
Song GaoCollege of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, China.ORCID 0000-0002-0747-9611
Zhejiang Normal University · CNGuangxi University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a prevalent chronic condition worldwide that can impact patients' quality of life. Oral antihypertensive drugs are widely used to manage high blood pressure, primarily by regulating the renin-angiotensin-aldosterone system. Nevertheless, limited efficacy and low compliance represent significant obstacles, arising primarily from dose, duration, and medication type restrictions. Furthermore, the prolonged use of antihypertensive medication may result in dependence and adverse effects, without any substantial improvement in achieving targeted blood pressure leves. As a result, research has focused on using exercise therapy to treat hypertension. Tai Chi, a widely-practiced Chinese health exercise, has evolved into a form of exercise therapy that might help alleviate the risk associated with hypertension. Therefore, this article aims to outline the role of Tai Chi in preventing and managing hypertension.

Indexed as

HypertensionTai JiBlood PressureHumansPrimary Health CareQuality of Lifeexercise therapyHypertensionlimitationsprevention and managementTai Chi

Identifiers

PMID38373214
PMCPMC10878327
OpenAlexW4391943061

What OpenQuestion holds

Textmetadata
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.