Evidence map›Paper›PMID 41178056›Full record

SynthesisPhysiological reports2025

Sex differences in human skeletal muscle fiber types and the influence of age, physical activity, and muscle group: A systematic review and meta-analysis.

Jessica J James, Maddison L Mellow, Elizabeth P Bueckers, Savannah B Gutsch, David J Wrucke, Andrew G Pearson, Ashleigh E Smith, Sandra K Hunter

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

8 authors.

Jessica J JamesExercise and Rehabilitation Science Program, Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.ORCID 0000-0002-4712-5834
Maddison L MellowAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
Elizabeth P BueckersExercise and Rehabilitation Science Program, Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
Savannah B GutschExercise and Rehabilitation Science Program, Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
David J WruckeExercise and Rehabilitation Science Program, Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
Andrew G PearsonExercise and Rehabilitation Science Program, Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
Ashleigh E SmithAlliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia.
Sandra K HunterSchool of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8013-2051

Funding

J. NRSA Training CoreTL1TR001437 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI THOMAS, DANNY GEORGE · 2015 to 2024
$3.7M
HHS | National Institutes of Health (NIH) 1TL1 TR001437NCATS NIH HHS TL1 TR001437
6 · The paper itself

Abstract

To understand the sex differences in human skeletal muscle fibers, we determined whether sex differences in fiber cross-sectional area (CSA), fiber type distribution, and proportional area remained after controlling for age, physical activity level, muscle group, and analysis technique. Meta-analysis was performed on 6222 unique participants (Males, M = 3501; Females, F = 2721) (>18 years and free of disease) extracted from 156 studies. A random-effects meta-analysis was used to determine the main effect of sex, and subgroup analyses were performed to determine the influence of age, physical activity level, muscle group biopsied, and analysis technique. Males had greater type I CSA (M = 4936 ± 1250 μm

Indexed as

AgingExerciseMuscle Fibers, SkeletalMuscle, SkeletalSex CharacteristicsAge FactorsFemaleHumansMaleMiddle AgedSex Factorsagingfiber typesphysical activitysex differencesskeletal muscle

Identifiers

PMID41178056
PMCPMC12580412

What OpenQuestion holds

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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.