Evidence map›Paper›PMID 33032580›Full record

SynthesisBMC complementary medicine and therapies2020

The effectiveness of Baduanjin exercise for hypertension: a systematic review and meta-analysis of randomized controlled trials.

Bao-Yi Shao, Xia-Tian Zhang, Robin W M Vernooij, Qiu-Yi Lv, Yao-Yang Hou, Qi Bao, Li-Xing Lao, Jian-Ping Liu, Ying Zhang, Gordon H Guyatt

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC complementary medicine and therapies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Baduanjin exercise for negative emotion of patients undergoing chemotherapy: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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

10 authors.

Bao-Yi ShaoLi Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Xia-Tian ZhangSchool of Mathematics Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Robin W M VernooijDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Qiu-Yi LvThe First Affiliated Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yao-Yang HouThe First Affiliated Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Qi BaoGuang'anmen Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Li-Xing LaoVirginia University of Integrative Medicine, Fairfax, VA, USA.
Jian-Ping LiuCenter for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Ying ZhangCenter for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China. yingzhang@bucm.edu.cn.ORCID http://orcid.org/0000-0002-5391-0732
Gordon H GuyattDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada. guyatt@mcmaster.ca.

Funding

Education Scientific Research Project of Beijing University of Chinese Medicine #XJY16009Scientific Research Project of Chinese Medical Qigong Association #YXQG2015022
6 · The paper itself

Abstract

backgroundHypertension, a major risk factor of cardiovascular mortality, is a critical issue for public health. Although Baduanjin (Eight Brocades, EB), a traditional Chinese exercise, might influence blood pressure, glucose, and lipid status, the magnitude of true effects and subgroup differences remains unclear. Therefore, we performed a systematic review of relevant randomized controlled trials (RCTs) to evaluate the effect of EB on patient-important outcomes.

methodsWe systematically searched PubMed, the Cochrane Library, Web of Science, and Chinese databases since inception until March 30, 2020. Meta-analysis was carried out using "meta" package in R 3.4.3 software. A prespecified subgroup analysis was done according to the type of comparisons between groups, and the credibility of significant subgroup effects (P < 0.05) were accessed using a five-criteria list. A GRADE evidence profile was constructed to illustrate the certainty of evidence.

resultsOur meta-analysis, including 14 eligible trials with 1058 patients, showed that compared with routine treatment or health education as control groups, the mean difference (MD) in systolic blood pressure (SBP) of the EB groups was - 8.52 mmHg (95%CI:[- 10.65, - 6.40], P < 0.01) and diastolic blood pressure (DBP) was - 4.65 mmHg (95%CI: [- 6.55, - 2.74], P < 0.01). For blood pressure, the evidence was, however, of low certainty because of risk of bias and inconsistency, and for the outcomes of most interest to patients (cardiovascular morbidity and mortality directly), of very low certainty (measurement of surrogate only). Subgroup analysis showed there was no significant interaction effect between different type of comparisons (SBP P = 0.15; DBP P = 0.37), so it could be easily attributed to chance.

conclusionRegularly EB exercising may be helpful to control blood pressure, but the evidence is only low certainty for blood pressure and very low certainty for cardiovascular morbidity and mortality. Rigorously designed RCTs that carry out longer follow-up and address patient-important outcomes remain warranted.

trial registrationPROSPERO Registration number: CRD42018095854 .

Indexed as

Blood PressureHumansHypertensionQigongRandomized Controlled Trials as TopicBaduanjinHypertensionMeta-analysisRandomized controlled trialsSystematic review

Identifiers

PMID33032580
PMCPMC7545896

What OpenQuestion holds

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Registered trials

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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.