Evidence map›Paper›PMID 33524024›Full record

ArticlePloS one2021

Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach.

Zainab Altai, Erica Montefiori, Bart van Veen, Margaret A Paggiosi, Eugene V McCloskey, Marco Viceconti, Claudia Mazzà, Xinshan Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Zainab AltaiDepartment of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Erica MontefioriDepartment of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Bart van VeenDepartment of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Margaret A PaggiosiInsigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Eugene V McCloskeyInsigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Marco VicecontiDepartment of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Bologna, Italy.ORCID 0000-0002-2293-1530
Claudia MazzàDepartment of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Xinshan LiDepartment of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0003-2012-5831
Insigneo · GBIstituto Ortopedico Rizzoli · IT

Funding

Department of HealthMedical Research Council MR/P020941/1
6 · The paper itself

Abstract

Recently, coupled musculoskeletal-finite element modelling approaches have emerged as a way to investigate femoral neck loading during various daily activities. Combining personalised gait data with finite element models will not only allow us to study changes in motion/movement, but also their effects on critical internal structures, such as the femur. However, previous studies have been hampered by the small sample size and the lack of fully personalised data in order to construct the coupled model. Therefore, the aim of this study was to build a pipeline for a fully personalised multiscale (body-organ level) model to investigate the strain levels at the femoral neck during a normal gait cycle. Five postmenopausal women were included in this study. The CT and MRI scans of the lower limb, and gait data were collected for all participants. Muscle forces derived from the body level musculoskeletal models were used as boundary constraints on the finite element femur models. Principal strains were estimated at the femoral neck region during a full gait cycle. Considerable variation was found in the predicted peak strain among individuals with mean peak first principal strain of 0.24% ± 0.11% and mean third principal strain of -0.29% ± 0.24%. For four individuals, two overall peaks of the maximum strains were found to occur when both feet were in contact with the floor, while one individual had one peak at the toe-off phase. Both the joint contact forces and the muscular forces were found to substantially influence the loading at the femoral neck. A higher correlation was found between the predicted peak strains and the gluteus medius (R2 ranged between 0.95 and 0.99) than the hip joint contact forces (R2 ranged between 0.63 and 0.96). Therefore, the current findings suggest that personal variations are substantial, and hence it is important to consider multiple subjects before deriving general conclusions for a target population.

Indexed as

AgedBiomechanical PhenomenaComputer SimulationFemaleFemurFemur NeckFinite Element AnalysisForecastingGaitHip JointHumansLower ExtremityMagnetic Resonance ImagingMiddle AgedModels, BiologicalMuscle, Skeletal

Identifiers

PMID33524024
PMCPMC7850486
OpenAlexW3126625247

What OpenQuestion holds

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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.