Evidence map›Paper›PMID 31543722›Full record

ArticleEuropean journal of ageing2019

Tai Chi and whole-body vibrating therapy in sarcopenic men in advanced old age: a clinical randomized controlled trial.

Ya-Qiong Zhu, Nan Peng, Ming Zhou, Pei-Pei Liu, Xiao-Lei Qi, Ning Wang, Gang Wang, Zhao-Pei Wu

Abstract read
In one paragraph

Article in European journal of ageing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 17 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

39 citing papers in PubMed, 17 syntheses or guidelines pooled it.

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  11. The effect of mind-body exercise in lung cancer patients: a meta-analysis of RCTs.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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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

8 authors.

Ya-Qiong Zhu1Department of Geriatric Rehabilitation, Chinese PLA General Hospital, Beijing, 100853 China.
Nan Peng1Department of Geriatric Rehabilitation, Chinese PLA General Hospital, Beijing, 100853 China.
Ming Zhou4Rehabilitation Medicine Center, Chinese PLA General Hospital, Beijing, 100853 China.
Pei-Pei Liu1Department of Geriatric Rehabilitation, Chinese PLA General Hospital, Beijing, 100853 China.
Xiao-Lei Qi4Rehabilitation Medicine Center, Chinese PLA General Hospital, Beijing, 100853 China.
Ning Wang4Rehabilitation Medicine Center, Chinese PLA General Hospital, Beijing, 100853 China.
Gang Wang4Rehabilitation Medicine Center, Chinese PLA General Hospital, Beijing, 100853 China.
Zhao-Pei Wu4Rehabilitation Medicine Center, Chinese PLA General Hospital, Beijing, 100853 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was to investigate the effects of Tai Chi (TC) and whole-body vibration (WBV) exercise in sarcopenic men in advanced old age. Ninety sarcopenic men (mean age 88.6 years; age range 85-101 years) were divided into three groups: TC group, WBV group, and control (CON) group. Patients in the two treatment groups received 8 weeks of training in either TC or WBV, while the control group received reminders not to change their level of physical exercise or lifestyle. Patients in all groups also received health information related to sarcopenia. Muscle mass, muscle strength, and physical performance [balance, gait speed, timed-up-and-go test (TUGT), and five-times-sit-to-stand test (FTSST)] were analyzed and compared among the three groups. Finally, seventy-nine subjects completed the study (TC

Indexed as

Advanced old ageSarcopeniaTai ChiWhole-body vibration

Identifiers

PMID31543722
PMCPMC6728405

What OpenQuestion holds

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Read underepoch 390

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.