Evidence map›Paper›PMID 40469859›Full record

SynthesisJournal of sports science & medicine2025

A Systematic Review of Finite Element Analysis in Running Footwear Biomechanics: Insights for Running-Related Musculoskeletal Injuries.

Yang Song, Xuanzhen Cen, Meizi Wang, Zixiang Gao, Qitao Tan, Dong Sun, Yaodong Gu, Yan Wang, Ming Zhang

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of sports science & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

9 authors.

Yang SongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Xuanzhen CenFaculty of Sports Science, Ningbo University, Ningbo, China.
Meizi WangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Zixiang GaoHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada.
Qitao TanDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Dong SunFaculty of Sports Science, Ningbo University, Ningbo, China.
Yaodong GuFaculty of Sports Science, Ningbo University, Ningbo, China.
Yan WangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Ming ZhangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presented a systematic review of recent advancements in the application of finite element (FE) methods to running and running shoe biomechanics. It focused on outlining the general approach to build foot-running shoe FE models, exploring their current applications and challenges, and providing directions for future research. The review also aimed to highlight the gap between theoretical mechanical responses in simulations and real-world manifestations of running-related musculoskeletal injuries (RRMI). A comprehensive search of electronic databases, including Web of Science, PubMed, and Scopus, identified 12 eligible articles for inclusion in this review. Current studies have examined the effects of various running shoe design features and conditions on the mechanical response of internal foot tissues using foot-running shoe FE models. These models have gradually evolved from simplified local representations to more realistic and comprehensive models, with the incorporation of experimental data enhancing simulation accuracy. However, to further improve simulation outcomes, key advancements are proposed to reduce development time and enhance model robustness. These include high-fidelity 3D model development, personalized shape transformation, AI-driven automated reconstruction, comprehensive dynamic running simulations, and improved validation methods. More importantly, future research needs to bridge the gap between FE simulations and RRMI risk by addressing the complexities of bone fracture criteria and conducting localized assessments of bone properties. Overall, this review provided valuable insights for biomedical engineers, medical professionals, and researchers, facilitating more accurate investigations of foot-running shoe FE models. Ultimately, these advancements aim to improve footwear design and training programs to reduce the risk of RRMI.

Indexed as

Finite Element AnalysisFootRunningShoesAthletic InjuriesBiomechanical PhenomenaEquipment DesignHumansComputational simulationfootwear biomechanicsRRMIrunning

Identifiers

PMID40469859
PMCPMC12131137

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.