Evidence map›Paper›PMID 41584803›Full record

ArticleFrontiers in physiology2025

A novel approach to monitoring selective fatigue in female softball athletes: evaluating load-velocity relationship variables and specific performance metrics.

Hongzhen Zhang, Zhaoqian Li, Qiuyu Yu, Zan Cheng, Xiaoqing Wang, Xing Zhang, Amador García-Ramos, Danica Janicijevic

Abstract read
In one paragraph

Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hongzhen ZhangSchool of Physical Education, Shandong University, Jinan, China.
Zhaoqian LiSchool of Physical Education, Shandong University, Jinan, China.
Qiuyu YuBeijing Lucheng Sports Technology School, Beijing, China.
Zan ChengBeijing Lucheng Sports Technology School, Beijing, China.
Xiaoqing WangBeijing Lucheng Sports Technology School, Beijing, China.
Xing ZhangDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Amador García-RamosDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Danica JanicijevicDepartment of Sports Sciences and Physical Conditioning, Faculty of Education, Universidad Católica de la Santísima Concepción, Concepción, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study was to assess whether bench press load-velocity (L-V) relationship variables serving as indicators of maximal theoretical force capacity ( Methods: The bench press L-V relationship variables and softball-specific performance metrics of 12 professional female softball players were measured on three separate occasions: (I) following passive rest (non-fatigue condition), (II) after light-load ballistic bench press throw (LLB), and (III) after heavy-load traditional bench press (HLT). Additionally, blood lactate and rating of perceived exertion (RPE) were assessed after LLB and HLT training protocols. Results: A significantly lower Discussion: Hence, changes in mechanical performance could be applied as a supplementary monitoring tool to be integrated into athletes' daily routines, but should not be considered replacements for traditional fatigue indicators.

Indexed as

bench pressblood lactatephysical educationrating of perceived exertionresistance trainingvelocity loss

Identifiers

PMID41584803
PMCPMC12827110

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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.