Evidence map›Paper›PMID 38172769›Full record

SynthesisBMC nephrology2024

Effects of whole-body vibration exercise on physical function in patients with chronic kidney disease: a systematic review and meta-analysis.

Yan Bai, Liuyan Huang, Xiaojing Yin, Qiuzi Sun, Fan Zhang

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07049718 (Effect of Whole-body Vibration Training on Bone Mineral Density and Physical Performance in Patient With Renal Dialysis), which is not on this 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
1.4field-weighted citation impact, top 24% 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.

NCT07049718 nacompletednot on this mapstarted 2025, after this paper: background citation

Effect of Whole-body Vibration Training on Bone Mineral Density and Physical Performance in Patient With Renal Dialysis

TypeinterventionalSponsorCairo UniversityRan2025 to 2025Enrolled60ConditionsRenal DialysisArmswhole body vibration
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.

Yan Bai *Department of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No.725, Wanping South Road, Xuhui District, Shanghai, China.
Liuyan Huang *Department of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No.725, Wanping South Road, Xuhui District, Shanghai, China.
Xiaojing YinDepartment of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No.725, Wanping South Road, Xuhui District, Shanghai, China.
Qiuzi SunDepartment of Nursing, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Fan ZhangDepartment of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, No.725, Wanping South Road, Xuhui District, Shanghai, China. fan_zhang1993@163.com.
Longhua Hospital Shanghai University of Traditional Chinese Medicine · CNShanghai University of Traditional Chinese Medicine · CN

Funding

Shanghai Municipal Health Commission 20224Y0166
6 · The paper itself

Abstract

backgroundThe current state of knowledge regarding the efficacy of whole-body vibration (WBV) training for individuals with chronic kidney disease (CKD) is limited. To address this gap, the present study seeks to undertake a comprehensive systematic review and meta-analysis of clinical trials to evaluate the impact of WBV on physical function and quality of life outcomes in CKD patients.

methodsA systematic search was performed on the PubMed, Embase, Web of Science, and Scopus databases from inception to March 2023 and updated in June 2023. The inclusion criteria comprised randomized controlled studies, quasi-experimental studies, and single-arm trials that evaluated the impact of WBV on physical function, encompassing cardiopulmonary fitness, muscle strength, mobility, and balance, in CKD patients. Adverse events that were included in the study reports were recorded. The pooled evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) method.

resultsNine studies were identified, of which seven were included in the meta-analysis. The results of the meta-analysis indicated a statistically significant improvement in upper (mean difference: 3.45 kg; 95% confidence interval 1.61 to 5.29) and lower (standardized mean difference: 0.34, 95% confidence interval 0.08 to 0.59) extremity muscle strength in patients with CKD who underwent WBV training compared to baseline (low-level evidence). Furthermore, WBV training favored improved cardiorespiratory fitness, mobility, and balance function, but no statistical difference was observed. The impact of WBV training on quality of life in patients with CKD requires further validation. Notably, only one adverse event (nausea) was reported in the included studies.

conclusionsWBV has demonstrated efficacy and feasibility in enhancing muscle strength among patients with CKD. However, further investigation is warranted to determine its potential for improving cardiorespiratory adaptations, mobility, balance function, and quality of life. Additionally, future research should prioritize comprehensive reporting of WBV protocols to establish an optimal training regimen for the CKD population.

Indexed as

Quality of LifeRenal Insufficiency, ChronicExerciseExercise TherapyHumansVibrationChronic kidney diseaseMeta-analysisPhysical functionSystematic reviewWhole-body vibration

Identifiers

PMID38172769
PMCPMC10763333
OpenAlexW4390544372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.