Evidence map›Paper›PMID 40150727›Full record

ArticleBioengineering (Basel, Switzerland)2025

A Muscle-Driven Spine Model for Predictive Simulations in the Design of Spinal Implants and Lumbar Orthoses.

Robin Remus, Andreas Lipphaus, Marisa Ritter, Marc Neumann, Beate Bender

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Recent Findings and Developments in Spine Biomechanics.Bioengineering (Basel, Switzerland) · 2026
    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

5 authors.

Robin RemusChair of Product Development, Department of Mechanical Engineering, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-3695-6595
Andreas LipphausBiomechanics Research Group, Department of Mechanical Engineering, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-4428-4848
Marisa RitterChair of Product Development, Department of Mechanical Engineering, Ruhr-University Bochum, 44801 Bochum, Germany.
Marc NeumannChair of Product Development, Department of Mechanical Engineering, Ruhr-University Bochum, 44801 Bochum, Germany.
Beate BenderChair of Product Development, Department of Mechanical Engineering, Ruhr-University Bochum, 44801 Bochum, Germany.

Funding

German Federal Ministry for Economic Affairs and Climate Action KK5055218SK2
6 · The paper itself

Abstract

Knowledge of realistic loads is crucial in the engineering design process of medical devices and for assessing their interaction with the spinal system. Depending on the type of modeling, current numerical spine models generally either neglect the active musculature or oversimplify the passive structural function of the spine. However, the internal loading conditions of the spine are complex and greatly influenced by muscle forces. It is often unclear whether the assumptions made provide realistic results. To improve the prediction of realistic loading conditions in both conservative and surgical treatments, we modified a previously validated forward dynamic musculoskeletal model of the intact lumbosacral spine with a muscle-driven approach in three scenarios. These exploratory treatment scenarios included an extensible lumbar orthosis and spinal instrumentations. The latter comprised bisegmental internal spinal fixation, as well as monosegmental lumbar fusion using an expandable interbody cage with supplementary posterior fixation. The biomechanical model responses, including internal loads on spinal instrumentation, influences on adjacent segments, and effects on abdominal soft tissue, correlated closely with available in vivo data. The muscle forces contributing to spinal movement and stabilization were also reliably predicted. This new type of modeling enables the biomechanical study of the interactions between active and passive spinal structures and technical systems. It is, therefore, preferable in the design of medical devices and for more realistically assessing treatment outcomes.

Indexed as

ArtiSynthbiomedical development processengineering designextensible lumbar beltFEMforward dynamics simulationinterbody cagelumbar fusionmusculoskeletal multibody modelsoft tissue biomechanics

Identifiers

PMID40150727
PMCPMC11939310

What OpenQuestion holds

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LicenceCC BY
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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.