Evidence map›Paper›PMID 39692975›Full record

ReviewSports medicine (Auckland, N.Z.)2025

Histological Definition of Skeletal Muscle Injury: A Guide to Nomenclature Along the Connective Tissue Sheath/Structure.

Carles Pedret, José Peña-Amaro, Ramon Balius, Tero Järvinen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 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.

Carles PedretClinica Diagonal, Sports Medicine and Imaging Department, Esplugues de Llobregat, Spain. info@carlespedret.com.ORCID 0000-0001-7666-3896
José Peña-AmaroDepartment of Morphological Sciences (Section of Histology), Faculty of Medicine and Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), University of Cordoba, Córdoba, Spain.
Ramon BaliusSport Catalan Council, Generalitat de Catalunya, Barcelona, Spain.
Tero JärvinenTampere University and Tampere University Hospital, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have seen the development of various classifications of muscle injuries, primarily based on the topographic location within the bone-tendon-muscle chain. This paper proposes an enhanced nomenclature for muscle injuries that incorporates histoarchitectural definitions alongside topographic classifications, emphasizing the importance of connective tissue damage characterization. A detailed understanding of the distinct anatomical and histological characteristics of tendon, aponeurosis, and fascia is essential for consistent terminology. Tendons, aponeuroses, and fasciae, while all composed of dense connective tissue, differ in collagen fiber orientation and structural organization. Tendons feature longitudinally aligned fibers suited for high tensile forces and muscle-to-bone connections. Aponeuroses have perpendicular collagen fiber layers, allowing for force distribution and support for both longitudinal and transverse traction. Fasciae exhibit loosely organized fibers providing flexibility and movement between muscles. The continuity and differences within the musculotendinous frameworks, particularly at the musculotendinous junction (MTJ), elucidate the higher frequency of injuries at these sites compared with tendons, highlighting the MTJ's role as a stress-absorbing 'safety valve.'

Indexed as

Connective TissueMuscle, SkeletalTerminology as TopicAponeurosisFasciaHumansTendon InjuriesTendons

Identifiers

What OpenQuestion holds

Textmetadata
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.