Evidence map›Paper›PMID 33082831›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2020

Meta-Analysis of Randomized Controlled Trials of the Effects of Tai Chi on Blood Pressure.

Xiaosheng Dong, Meng Ding, Xiangren Yi

Open access · hybridAbstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Stress reduction through taiji: a systematic review and meta-analysis.BMC complementary medicine and therapies · 2024
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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 2 institutions in 1 country.

Xiaosheng DongDepartment of Sport and Health, School of Physical Education, Shandong University, Jinan 250061, China.
Meng DingCollege of Physical Education, Shandong Normal University, Jinan 250014, China.
Xiangren YiDepartment of Sport and Health, School of Physical Education, Shandong University, Jinan 250061, China.ORCID https://orcid.org/0000-0003-2420-2128
Shandong University · CNShandong Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to investigate the influences of Tai Chi on blood pressure (BP) using the meta-analysis.

methodsThis paper used 6 e-resource databases, and randomized controlled trials on the role of Tai Chi on blood pressure were retrieved. Besides, the meta-analysis was conducted according to the guidelines of the Moose-recommendations and applied with Review Manager 5.3, and the risk of bias assessment was performed with the Cochrane Collaboration's tool. The inclusion, data extraction, and risk of bias assessment were independently finished by two researchers.

resultsThere are 24 trials meeting the criteria of inclusion and the results were reviewed. The meta-analysis indicates that, compared with no exercise, Tai Chi had the influence of lowering systolic blood pressure (mean difference = -6.07, 95%CI (-8.75, -3.39),

conclusionTai Chi can significantly reduce systolic and diastolic pressure than inactivity. However, Tai Chi does not show advantages in reducing blood pressure compared to other aerobic exercises. The trial is registered with CRD42020175306.

Identifiers

PMID33082831
PMCPMC7563036
OpenAlexW3091791407

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.