Evidence map›Paper›PMID 39944976›Full record

ArticleJournal of human kinetics2025

Physiological and Neuromuscular Fatigue after 3-Minute Lateral Shuffle Movement at Different Speeds and Distances.

Mengde Lyu, Mingyue Yin, Ling Ding, Renhuan Tang, Zhili Chen, Shengji Deng, Yuming Zhong, Zhan Li, George P Nassis, Yongming Li

Abstract read
In one paragraph

Article in Journal of human kinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Mengde LyuSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.ORCID https://orcid.org/0009-0003-5431-1410
Mingyue YinSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Ling DingSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Renhuan TangSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Zhili ChenSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Shengji DengSchool of Human Sciences, University of Western Australia, Perth, Australia.
Yuming ZhongSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Zhan LiSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
George P NassisCollege of Sport Science, University of Kalba, Kalba, Sharjah, United Arab Emirates.ORCID https://orcid.org/0000-0003-2953-3911
Yongming LiSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to 1) investigate and compare physiological and neuromuscular fatigue after a 3-min lateral shuffle movement (LSM) at different speeds and distances, and 2) examine the relationship between the number of changes of direction (CODs) during LSM and fatigue-related variables. Twenty male college athletes (age: 20.9 ± 1.7 yrs, body mass: 72.8 ± 8.6 kg, body height: 177.9 ± 5.6 cm; mean ± SD) performed six LSM protocols at two speeds (1.8 and 2.0 m/s) and three distances (2.5, 5 and 10 m) in random order and on separate days. The heart rate (HR), blood lactate (BLa) concentration, the rating of perceived exertion (RPE) and the countermovement jump (CMJ) were assessed and recorded before and immediately after exercise. Neuromuscular fatigue was assessed with the decline in CMJ performance (CMJ

Indexed as

change of directionneuromuscular fatigueteam sport

Identifiers

PMID39944976
PMCPMC11812171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.