Evidence map›Paper›PMID 41980970›Full record

ArticleNPJ Regenerative medicine2026

Three-dimensional models of skeletal muscle under tension: a systematic review and core outcome set.

Kunal Bhanot, Core Outcome Set Review Group, Neal Thurley, Robin O Cleveland, Jolet Mimpen, Sarah J B Snelling, Rory Rickard, Robert Staruch

Abstract read
In one paragraph

Article in NPJ Regenerative medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kunal BhanotAcademic Department of Military Surgery and Trauma, Birmingham, UK.
Core Outcome Set Review Group
Neal ThurleyBodleian Healthcare Libraries, University of Oxford, Oxford, UK.
Robin O ClevelandInstitute of Biomedical Engineering, University of Oxford, Oxford, UK.
Jolet MimpenBotnar Research Institute, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford, UK.
Sarah J B SnellingBotnar Research Institute, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Oxford, UK.
Rory RickardAcademic Department of Military Surgery and Trauma, Birmingham, UK.
Robert StaruchAcademic Department of Military Surgery and Trauma, Birmingham, UK. robmtstaruch@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biologically representative three-dimensional (3D) skeletal muscle models are required to understand the mechanisms underpinning muscle disease. The primary aim of this systematic review is to evaluate the current literature on 3D skeletal muscle models under tension. Its secondary aim is to explore injury mechanisms and generate a novel Core Outcome Set (COS) for reporting of such models. In vitro studies that utilised any skeletal muscle cell types cultured with an anchor system imposing axial strain were eligible for inclusion. A modified Delphi approach using corresponding authors of included studies was then developed to obtain a COS. This systematic review was reported in compliance with the PRISMA 2020 checklist. 37 articles were included. Of these, 7 articles induced an injury in their model. Cell lines used were both human and animal. Immunohistochemical testing on models revealed greatest concordance for myosin heavy chain (MHC), alpha actinin, and Pax7 as a means of demonstrating striated muscle. The final COS agreed on multiple reporting criteria for the validation of models based on morphology, phenotype and function. This systematic review summarises the current literature and has developed core outcome reporting for models of 3D skeletal muscle that impose axial strain.

Identifiers

PMID41980970
PMCPMC13269917

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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.