Evidence map›Paper›PMID 36602716›Full record

ArticleBiomechanics and modeling in mechanobiology2023

Effects of geometric individualisation of a human spine model on load sharing: neuro-musculoskeletal simulation reveals significant differences in ligament and muscle contribution.

Laura Meszaros-Beller, Maria Hammer, Julia M Riede, Peter Pivonka, J Paige Little, Syn Schmitt

Open access · hybridAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. A stiffness-dependent method to estimate spine kinematics and loading reveals the impact of nonlinear mechanics during lifting tasks.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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 2 institutions in 3 countries.

Laura Meszaros-BellerSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia.ORCID http://orcid.org/0000-0002-5032-3997
Maria HammerInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany.
Julia M RiedeInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Stuttgart, Germany.
Peter PivonkaSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia.
J Paige LittleSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia.
Syn SchmittSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, Australia. schmitt@simtech.uni-stuttgart.de.ORCID http://orcid.org/0000-0002-7768-8961
University of Stuttgart · DEQueensland University of Technology · AU

Funding

Deutsche Forschungsgemeinschaft EXC2075- 390740016Deutscher Akademischer Austauschdienst ATN 57217458Queensland University of Technology Clayton Adam Florence Wilson Award
6 · The paper itself

Abstract

In spine research, two possibilities to generate models exist: generic (population-based) models representing the average human and subject-specific representations of individuals. Despite the increasing interest in subject specificity, individualisation of spine models remains challenging. Neuro-musculoskeletal (NMS) models enable the analysis and prediction of dynamic motions by incorporating active muscles attaching to bones that are connected using articulating joints under the assumption of rigid body dynamics. In this study, we used forward-dynamic simulations to compare a generic NMS multibody model of the thoracolumbar spine including fully articulated vertebrae, detailed musculature, passive ligaments and linear intervertebral disc (IVD) models with an individualised model to assess the contribution of individual biological structures. Individualisation was achieved by integrating skeletal geometry from computed tomography and custom-selected muscle and ligament paths. Both models underwent a gravitational settling process and a forward flexion-to-extension movement. The model-specific load distribution in an equilibrated upright position and local stiffness in the L4/5 functional spinal unit (FSU) is compared. Load sharing between occurring internal forces generated by individual biological structures and their contribution to the FSU stiffness was computed. The main finding of our simulations is an apparent shift in load sharing with individualisation from an equally distributed element contribution of IVD, ligaments and muscles in the generic spine model to a predominant muscle contribution in the individualised model depending on the analysed spine level.

Indexed as

Intervertebral DiscLumbar VertebraeBiomechanical PhenomenaFinite Element AnalysisHumansLigamentsModels, BiologicalMusclesRotationWeight-BearingForward-dynamicsLoad sharingMusculoskeletal modellingSpine biomechanicsSubject-specific

Identifiers

PMID36602716
PMCPMC10097810
OpenAlexW4313546116

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.