Evidence map›Paper›PMID 29139051›Full record

ArticleBiomechanics and modeling in mechanobiology2018

Subject-specific finite element modelling of the human foot complex during walking: sensitivity analysis of material properties, boundary and loading conditions.

Mohammad Akrami, Zhihui Qian, Zhemin Zou, David Howard, Chris J Nester, Lei Ren

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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  10. [Biomechanical characteristics and clinical application of three-dimensional printed osteotomy guide plate combined with Ilizarov technique in treatment of rigid clubfoot].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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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

6 authors at 3 institutions in 2 countries.

Mohammad AkramiSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, M13 9PL, UK.
Zhihui QianKey Laboratory of Bionic Engineering, Jilin University, Changchun, 130022, People's Republic of China.
Zhemin ZouSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, M13 9PL, UK.
David HowardSchool of Computing, Science and Engineering, University of Salford, Salford, M5 4WT, UK.
Chris J NesterCentre for Health Sciences Research, School of Health Sciences, University of Salford, Salford, M5 4WT, UK.
Lei RenSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, M13 9PL, UK. lei.ren@manchester.ac.uk.
Jilin University · CNUniversity of Manchester · GBUniversity of Salford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H003142/2Biotechnology and Biological Sciences Research Council of UK BB/H002782/1National Natural Science Foundation of China 51675222National Natural Science Foundation of China (CN) 51475202
6 · The paper itself

Abstract

The objective of this study was to develop and validate a subject-specific framework for modelling the human foot. This was achieved by integrating medical image-based finite element modelling, individualised multi-body musculoskeletal modelling and 3D gait measurements. A 3D ankle-foot finite element model comprising all major foot structures was constructed based on MRI of one individual. A multi-body musculoskeletal model and 3D gait measurements for the same subject were used to define loading and boundary conditions. Sensitivity analyses were used to investigate the effects of key modelling parameters on model predictions. Prediction errors of average and peak plantar pressures were below 10% in all ten plantar regions at five key gait events with only one exception (lateral heel, in early stance, error of 14.44%). The sensitivity analyses results suggest that predictions of peak plantar pressures are moderately sensitive to material properties, ground reaction forces and muscle forces, and significantly sensitive to foot orientation. The maximum region-specific percentage change ratios (peak stress percentage change over parameter percentage change) were 1.935-2.258 for ground reaction forces, 1.528-2.727 for plantar flexor muscles and 4.84-11.37 for foot orientations. This strongly suggests that loading and boundary conditions need to be very carefully defined based on personalised measurement data.

Indexed as

Finite Element AnalysisModels, BiologicalAdultBiomechanical PhenomenaComputer SimulationFootHumansImaging, Three-DimensionalMalePressureReproducibility of ResultsWalkingWeight-BearingBiomechanicsFinite element analysisHuman footLocomotion

Identifiers

PMID29139051
PMCPMC5845092
OpenAlexW2768068594

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.