Evidence map›Paper›PMID 41959473›Full record

ArticlebioRxiv : the preprint server for biology2026

Effects of muscle mass on muscle force predictions in human movement.

Ing-Jeng Chen, Ameur Latreche, Stephanie A Ross, Javier A Almonacid, Taylor Jm Dick, Evie E Vereecke, James M Wakeling

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Ing-Jeng ChenDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Canada.
Ameur LatrecheDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Canada.ORCID 0000-0002-7706-4171
Stephanie A RossFaculty of Kinesiology, University of Calgary, Canada.ORCID 0000-0003-3512-9579
Javier A AlmonacidDepartment of Mathematics, Simon Fraser University, Canada.ORCID 0000-0002-1708-3493
Taylor Jm DickSchool of Biomedical Sciences, The University of Queensland, Australia.
Evie E VereeckeDepartment of Development and Regeneration, KU Leuven, Belgium.ORCID 0000-0002-1312-9124
James M WakelingDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Canada.ORCID 0000-0003-0817-0867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle mass significantly influences skeletal muscle behaviour, potentially explaining why traditional massless Hill-type models struggle to predict the forces generated by larger muscles during dynamic, submaximal contractions. However, the applicability of mass-enhanced Hill-type models in human locomotion remains unexplored. Here, we compared the predicted force from a 1D mass-enhanced Hill-type muscle model with a traditional 1D massless Hill-type muscle model across a range of experimentally measured human movements. Kinematic and electromyographic data were collected from twenty participants performing locomotor tasks and supplemented with existing cycling data. Muscle size was geometrically scaled by factors from 0.1 to 10, which causes lengths to be scaled proportionally, cross-sectional area and peak isometric force F

Indexed as

cyclic contractionsinertiamuscle massmuscle mechanicsskeletal muscle

Identifiers

PMID41959473
PMCPMC13060126

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.