Evidence map›Paper›PMID 41194011›Full record

SynthesisBMC geriatrics2025

Dose-response effects of resistance training in sarcopenic older adults: systematic review and meta-analysis.

Jianxin Ran, Jingfeng Yang, Na Li, Jinqi Yang, Weicheng Yang, Jianxin Chen, Peijie Sun, Yuanpeng Liao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
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.

Jianxin RanDepartment of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Jingfeng YangDepartment of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Na LiThe National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Sichuan University, Chengdu, 610041, China.
Jinqi YangDepartment of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Weicheng YangDepartment of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Jianxin ChenDepartment of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Peijie SunDepartment of Sports Medicine and Health, Chengdu Sport University, Chengdu, 610041, China.
Yuanpeng LiaoAffliated Hospital of Chengdu Sport University, Chengdu Sport University, No. 2, Tiyuan Road, Wuhou District, Chengdu, Sichuan Province, 610041, China. liaoyuanpeng@cdsu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, resistance training (RT) programs for sarcopenic older adults are numerous they remain controversial, and there is a lack of standardized programs specifically tailored for this population.

objectivesThis study aims to investigate the dose-response effects between RT on grip strength, skeletal muscle mass index (SMI), and short physical performance battery (SPPB) in sarcopenic older adults, to identify key training parameters in RT.

methodsA comprehensive search was conducted in databases including PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), and WANFANG for randomized controlled trials published up to March 2025. Studies were selected based on the inclusion and exclusion criteria outlined in this study, resulting in 12 studies. The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) system was used to assess the quality of evidence, while Cochrane's Risk of Bias Tool evaluated the methodological quality of the included studies. Meta-analysis of baseline data and outcomes was performed using Review Manager version 5.3.4 and R version 3.5 software.

results12 studies involving 538 participants met the inclusion criteria. Compared to the control group, RT had a moderate effect on grip strength (SMD = 0.63, 95% CI 0.43-0.83; I² = 32%, X² = 11.73, df = 8, p < 0.00001) and SPPB (SMD = 0.56, 95% CI 0.18-0.94; I² = 53%, X² = 8.48, df = 4, p = 0.004) with in sarcopenic older adults, but it did not significantly improve SMI (SMD = 0.24, 95% CI -0.05-0.53; I² = 0%, X² = 2.85, df = 4, p = 0.10). Meta-regression analysis revealed that training frequency (p < 0.0001) and training intensity (p = 0.0019) were significant predictors of grip strength improvement, while training frequency (p = 0.052) may be a potential predictor for SPPB improvement. Additionally, subgroup analysis showed that incorporating pulling exercises into the training program significantly improved grip strength compared to studies that did not include such exercises (SMD = 0.90, 95% CI 0.61-1.19; I² = 0%, X² = 0.75, df = 2, p < 0.00001).

conclusionsOur meta-analysis suggests that RT is associated with improvements in grip strength and SPPB scores in sarcopenic older adults, whereas its effect on SMI was not statistically significant. The findings indicate that performing moderate-intensity resistance training twice a week is a promising strategy for improving grip strength, while a similar frequency may also benefit SPPB scores. Furthermore, incorporating pulling exercises into the RT regimen may positively influence grip strength outcomes.

Indexed as

Resistance TrainingSarcopeniaAgedAged, 80 and overHand StrengthHumansMuscle, SkeletalMuscle StrengthRandomized Controlled Trials as TopicExerciseMeta-analysisResistance trainingSarcopenia

Identifiers

PMID41194011
PMCPMC12590801

What OpenQuestion holds

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LicenceCC BY
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.