Evidence map›Paper›PMID 42766567›Full record

ArticlePloS one2026

Update of the articular representation of the TLEM 2.0 musculoskeletal model.

Michele Conconi, Raphael Dumas, Nicola Sancisi

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Michele ConconiDepartment of Industrial Engineering, University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0003-2392-2684
Raphael DumasUniv Eiffel, Univ Lyon 1, LBMC UMR_T 9406, Lyon, France.ORCID https://orcid.org/0000-0002-0368-8248
Nicola SancisiDepartment of Industrial Engineering, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To provide reliable results, musculoskeletal models must accurately represent human anatomy and be consistent with anatomical function. While considerable effort has been made to improve the muscular modeling, the same is often not true for the kinematic chain representing skeletal mobility. The aim of this work is therefore to take one of the most comprehensive musculoskeletal models, the TLEM 2.0, and improve its articular representation. Based on bone morphology, 3D articular kinematics of the tibio-femoral, patella-femoral, talo-tibial, and calcaneo-talar joints have been reconstructed by joint congruence maximization. Given these reference motions: the most isometric fibers for the main ligaments at the knee and the ankle have been identified; contact points and normals have been defined; the neutral configuration of the model has been defined. With respect to the original kinematic chain based on revolute joints, the one here proposed presents no joint distraction nor copenetration between the bones, together with a more physiological ligament elongation during joint motion, resulting in an articular representation more consistent with the TLEM 2.0 anatomy. These improvements substantially strengthen the anatomical fidelity of TLEM 2.0 and provide a robust foundation for next-generation MSK models. The updated dataset enables more reliable estimation of ligament and contact forces, supports the development of advanced rigid or deformable joint mechanisms, and offers a generalizable framework for subject-specific personalization whenever joint geometry is available. This represents a significant step toward MSK models capable of reliably capturing articular function under load.

Indexed as

JointsModels, AnatomicModels, BiologicalBiomechanical PhenomenaHumansRange of Motion, Articular

Identifiers

PMID42766567
PMCPMC13592602

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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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 Socratic graph.