Evidence map›Paper›PMID 41491263›Full record

ArticleBMC sports science, medicine & rehabilitation2026

The effects of velocity-based vs. percentage-based resistance training on sports performance in trainedindividuals: a systematic review and meta-analysis.

Yue Wang, Jianguo Qiu, Donghui Dai, Qi Li, Xiaolin Wang, Qunzhi Luo

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Yue Wang *Department of Physical Education, Shenyang Jianzhu University, Shenyang, China.
Jianguo Qiu *School of Physical Education, Ludong University, Yantai, China.
Donghui DaiDepartment of Physical Education, Shenyang Jianzhu University, Shenyang, China.
Qi LiDepartment of Physical Education, Shenyang Jianzhu University, Shenyang, China.
Xiaolin WangSchool of Physical Education, Ludong University, Yantai, China.
Qunzhi LuoSchool of Physical Education, Shenyang Medical College, Shenyang, China. luoqunzhi21@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis meta-analysis compared the effects of velocity-based training (VBT) and traditional percentage-based training (PBT) on athletic performance, specifically in muscle strength, jump performance, sprint performance, and change-of-direction ability. METHODOLOGY: Random-effects models in R were employed for the meta-analysis, and study quality was assessed using the Physiotherapy Evidence Database (PEDro) scale.

resultsA total of 17 studies with 348 participants were included in the analysis. The results revealed that VBT produced small but significant improvements in jump performance (SMD = 0.27, 95% CI: [0.03, 0.51], p < 0.05) and change-of-direction ability (SMD = 0.45, 95% CI: [0.17, 0.73], p < 0.01) compared to PBT. However, no significant differences were found in maximal strength (SMD = 0.21, 95% CI: [-0.01, 0.43], p = 0.064) or sprint performance (SMD = 0.14, 95% CI: [-0.11, 0.39], p = 0.269).

conclusionsVBT shows small but significant advantages over PBT in improving jump performance and change-of-direction ability. Both methods exhibit similar effects on maximal strength and sprint performance. These findings support implementing VBT for sports requiring rapid force production and directional changes.

trial registrationThe prospero registration number: CRD420251020164.

Indexed as

AgilityExplosive powerMuscle strengthPercentage-based trainingVelocity-based training

Identifiers

PMID41491263
PMCPMC12870409

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.