Evidence map›Paper›PMID 35273294›Full record

ArticleScientific reports2022

Inter-strides variability affects internal foot tissue loadings during running.

Coline Van Waerbeke, André Jacques, Eric Berton, Guillaume Rao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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 at 2 institutions in 1 country.

Coline Van WaerbekeAix Marseille Univ, CNRS, ISM, 163, avenue de Luminy, 13288, Marseille cedex 09, France. coline.van-waerbeke@univ-amu.fr.
André JacquesAix Marseille Univ, CNRS, ISM, 163, avenue de Luminy, 13288, Marseille cedex 09, France.
Eric BertonAix Marseille Univ, CNRS, ISM, 163, avenue de Luminy, 13288, Marseille cedex 09, France.
Guillaume RaoAix Marseille Univ, CNRS, ISM, 163, avenue de Luminy, 13288, Marseille cedex 09, France.
Centre d’Immunologie de Marseille-Luminy · FRInstitut des Sciences du Mouvement Etienne-Jules Marey · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Running overuse injuries result from an imbalance between repetitive loadings on the anatomical structures and their ability to adapt to these loadings. Unfortunately, the measure of these in-vivo loadings is not easily accessible. An optimal amount of movement variability is thought to decrease the running overuse injury risk, but the influence of movement variability on local tissue loading is still not known. A 3D dynamic finite element foot model driven by extrinsic muscle forces was developed to estimate the stress undergone by the different internal foot structures during the stance phase. The boundary conditions of different trials with similar running speed were used as input. Variability in bone stress (10%) and cartilage pressure (16%) can be expected while keeping the overall running speed constant. Bone and cartilage stress were mainly influenced by the muscle force profiles rather than by ground reaction force. These findings suggest, first, that the analysis of a single trial only is not representative of the internal tissue loadings distribution in the foot and second, that muscle forces must be considered when estimating bone and cartilage loadings at the foot level. This model could be applied to an optimal clinical management of the overuse injury.

Indexed as

Cumulative Trauma DisordersFootBiomechanical PhenomenaHumans

Identifiers

PMID35273294
PMCPMC8913624
OpenAlexW4220796604

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.