Evidence map›Paper›PMID 40449991›Full record

ArticleExperimental physiology2025

A human skeletal muscle cross-bridge model to characterize the role of metabolite accumulation in muscle fatigue.

John I Hendry, Muhammet Enes Erol, Gwenael Layec, Edward P Debold, Shivendra G Tewari, Anders Wallqvist, Venkat R Pannala

Abstract read
In one paragraph

Article in Experimental physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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.

John I HendryDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, Maryland, USA.ORCID https://orcid.org/0000-0001-6949-7404
Muhammet Enes ErolDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts, USA.
Gwenael LayecDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts, USA.
Edward P DeboldDepartment of Kinesiology, University of Massachusetts, Amherst, Massachusetts, USA.
Shivendra G TewariDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, Maryland, USA.
Anders WallqvistDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, Maryland, USA.
Venkat R PannalaDepartment of Defense Biotechnology High Performance Computing Software Applications Institute, Defense Health Agency Research & Development, Medical Research and Development Command, Fort Detrick, Maryland, USA.

Funding

Environmental Health Perspectives, NIEHS27302C0031 · NIEHS · 2008 to 2008
$1.2M
Military Operational Medicine Research ProgramNIEHS NIH HHS 27302C0031U.S. Army Medical Research and Development Command W81XWH20C0031
6 · The paper itself

Abstract

Skeletal muscle fatigue is accompanied by the accumulation of metabolites, such as adenosine diphosphate (ADP), inorganic phosphate (P

Indexed as

Models, BiologicalMuscle FatigueMuscle, SkeletalAdenosine DiphosphateAdultElectromyographyExerciseFemaleHumansMaleMuscle ContractionPhosphatesYoung AdultAdenosine DiphosphatePhosphatescross‐bridge cyclemuscle force generationmusculoskeletal modellingplantar flexionskeletal muscle fatigue

Identifiers

PMID40449991
PMCPMC12400838

What OpenQuestion holds

Textmetadata
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.