ArticleFrontiers in bioengineering and biotechnology2021
Using Musculoskeletal Models to Estimate
Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review.Journal of neuroengineering and rehabilitation · 2024Pooled it
- The impact of PCA derived gait kinematic variations on estimated medial knee contact forces in a knee osteoarthritis population.Scientific reports · 2025Article
- On the consequences of intra-operative release versus over-tensioning of the posterior cruciate ligament in total knee arthroplasty.Journal of the Royal Society, Interface · 2024Article
- Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries.Annals of biomedical engineering · 2024Article
- Model Properties and Clinical Application in the Finite Element Analysis of Knee Joint: A Review.Orthopaedic surgery · 2024Review
- Use of patellofemoral digital twins for patellar tracking and treatment prediction: comparison of 3D models and contact detection algorithms.Frontiers in bioengineering and biotechnology · 2024Article
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Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Total knee replacement (TKR) is one of the most performed orthopedic surgeries to treat knee joint diseases in the elderly population. Although the survivorship of knee implants may extend beyond two decades, the poor outcome rate remains considerable. A recent computational approach used to better understand failure modes and improve TKR outcomes is based on the combination of musculoskeletal (MSK) and finite element models. This combined multiscale modeling approach is a promising strategy in the field of computational biomechanics; however, some critical aspects need to be investigated. In particular, the identification and quantification of the uncertainties related to the boundary conditions used as inputs to the finite element model due to a different definition of the MSK model are crucial. Therefore, the aim of this study is to investigate this problem, which is relevant for the model credibility assessment process. Three different generic MSK models available in the OpenSim platform were used to simulate gait, based on the experimental data from the fifth edition of the "Grand Challenge Competitions to Predict
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Registered trials
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.