Evidence map›Paper›PMID 38194185›Full record

ArticleMedical & biological engineering & computing2024

Development and validation of a novel ankle joint musculoskeletal model.

Tao Liu, Andrea Dimitrov, Nadr Jomha, Samer Adeeb, Marwan El-Rich, Lindsey Westover

Abstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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. Article
  2. Subject-specific kinematic analysis of a total ankle arthroplasty implant.Frontiers in bioengineering and biotechnology · 2026
    Article
  3. 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

6 authors.

Tao LiuFaculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada. tao6@ualberta.ca.ORCID http://orcid.org/0000-0003-3171-4105
Andrea DimitrovSchool of Medicine, Nursing & Health Sciences, University of Galway, Galway, Ireland.
Nadr JomhaFaculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Samer AdeebFaculty of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada.
Marwan El-RichDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Lindsey WestoverDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An improved understanding of contact mechanics in the ankle joint is paramount for implant design and ankle disorder treatment. However, existing models generally simplify the ankle joint as a revolute joint that cannot predict contact characteristics. The current study aimed to develop a novel musculoskeletal ankle joint model that can predict contact in the ankle joint, together with muscle and joint reaction forces. We modelled the ankle joint as a multi-axial joint and simulated contact mechanics between the tibia, fibula and talus bones in OpenSim. The developed model was validated with results from experimental studies through passive stiffness and contact. Through this, we found a similar ankle moment-rotation relationship and contact pattern between our study and experimental studies. Next, the musculoskeletal ankle joint model was incorporated into a lower body model to simulate gait. The ankle joint contact characteristics, kinematics, and muscle forces were predicted and compared to the literature. Our results revealed a comparable peak contact force and the same muscle activation patterns in four major muscles. Good agreement was also found in ankle dorsi/plantar-flexion and inversion/eversion. Thus, the developed model was able to accurately model the ankle joint and can be used to predict contact characteristics in gait.

Indexed as

AnkleAnkle JointBiomechanical PhenomenaGaitLower ExtremityMusclesContact characteristicsElastic foundation modelGait simulationMusculoskeletal modelTalus implant design

Identifiers

What OpenQuestion holds

Textmetadata
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.