Evidence map›Paper›PMID 37917014›Full record

ArticleJournal of anatomy2024

Human lower leg muscles grow asynchronously.

Brian V Y Chow, Catherine Morgan, Caroline Rae, David I Warton, Iona Novak, Suzanne Davies, Ann Lancaster, Gordana C Popovic, Rodrigo R N Rizzo, Claudia Y Rizzo and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of anatomy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Childhood muscle growth: Reference curves for lower leg muscle volumes and their clinical application in cerebral palsy.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

13 authors at 4 institutions in 1 country.

Brian V Y ChowNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID 0000-0001-9294-3361
Catherine MorganCerebral Palsy Alliance Research Institute, Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-3670-0845
Caroline RaeNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID 0000-0003-0673-8084
David I WartonSchool of Mathematics and Statistics, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-9441-6645
Iona NovakCerebral Palsy Alliance Research Institute, Discipline of Child and Adolescent Health, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-6001-4867
Suzanne DaviesNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Ann LancasterNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Gordana C PopovicStats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-1376-1058
Rodrigo R N RizzoNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID 0000-0002-9624-6210
Claudia Y RizzoNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.
Maria KyriagisRehab2Kids, Sydney Children's Hospital, Sydney, New South Wales, Australia.
Robert D HerbertNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID 0000-0003-4188-9195
Bart BolsterleeNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID 0000-0001-8277-5026
UNSW Sydney · AUNeuroscience Research Australia · AUThe University of Sydney · AUSydney Children's Hospital · AU

Funding

National Health and Medical Research Council APP1117192National Health and Medical Research Council APP1156394
6 · The paper itself

Abstract

Muscle volume must increase substantially during childhood growth to generate the power required to propel the growing body. One unresolved but fundamental question about childhood muscle growth is whether muscles grow at equal rates; that is, if muscles grow in synchrony with each other. In this study, we used magnetic resonance imaging (MRI) and advances in artificial intelligence methods (deep learning) for medical image segmentation to investigate whether human lower leg muscles grow in synchrony. Muscle volumes were measured in 10 lower leg muscles in 208 typically developing children (eight infants aged less than 3 months and 200 children aged 5 to 15 years). We tested the hypothesis that human lower leg muscles grow synchronously by investigating whether the volume of individual lower leg muscles, expressed as a proportion of total lower leg muscle volume, remains constant with age. There were substantial age-related changes in the relative volume of most muscles in both boys and girls (p < 0.001). This was most evident between birth and five years of age but was still evident after five years. The medial gastrocnemius and soleus muscles, the largest muscles in infancy, grew faster than other muscles in the first five years. The findings demonstrate that muscles in the human lower leg grow asynchronously. This finding may assist early detection of atypical growth and allow targeted muscle-specific interventions to improve the quality of life, particularly for children with neuromotor conditions such as cerebral palsy.

Indexed as

Artificial IntelligenceLegChildChild, PreschoolFemaleHumansLower ExtremityMagnetic Resonance ImagingMaleMuscle, SkeletalQuality of Lifechildrengrowthlower leg musclesmagnetic resonance imagingmaturation

Identifiers

PMID37917014
PMCPMC10862152
OpenAlexW4388221128

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.