Evidence map›Paper›PMID 40206857›Full record

ArticleRoyal Society open science2025

Landmark-free statistical shape modelling reveals effects of age and sex on whole muscle morphology among the triceps surae.

India Lindemann, Robert L Cieri, Christofer J Clemente, Taylor J M Dick

Abstract read
In one paragraph

Article in Royal Society open science, 2025. 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

4 authors.

India LindemannSchool of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-3970-5756
Robert L CieriDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0001-6905-9148
Christofer J ClementeUniversity of the Sunshine Coast, Sippy Downs, Australia.ORCID https://orcid.org/0000-0001-8174-3890
Taylor J M DickSchool of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-7662-9716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The shape of skeletal muscle has important influences on muscle function, yet studies of three-dimensional shape variation are rarely performed. Analysis of muscle shape variation using traditional tools is limited by lack of anatomical landmarks, but modern landmark-free methods provide new opportunities to study complex shapes. We used generalized Procrustes surface analysis to characterize shape variation among the triceps surae: medial gastrocnemius (MG), lateral gastrocnemius (LG) and soleus (SOL), digitized using magnetic resonance imaging from 21 younger (8 females, 13 males; 24.6 ± 4.3 years) and 15 older (6 females; 9 males; 70.4 ± 2.4 years) physically active participants. In both gastrocnemii, the first principal component (PC) of shape variance was related to muscle width and thickness. The second PC was related to variation in the MG's insertion and variation in thickness along the LG long axis. In the SOL, the first PC was related to overall muscle thickness and length while the second PC captured variation in lateral margin thickness and curvature of the medial border. Muscle shape differed between young and older adults in MG and LG, while SOL shape differed between males and females. These findings demonstrate statistical shape modelling as a promising tool for disentangling multiple influences on skeletal muscle shape and provide important input for future biomechanical modelling investigations.

Indexed as

ageinggastrocnemiigeometric morphometricsmagnetic resonance imaging (MRI)skeletal muscle

Identifiers

PMID40206857
PMCPMC11978459

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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.