ArticleJournal of biomechanics2026
Personalized musculoskeletal models show that gait biofeedback alters knee cartilage contact mechanics in ACL-reconstructed subjects.
Article in Journal of biomechanics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Anterior cruciate ligament-reconstructed (ACLR) patients exhibit less dynamic knee loading during walking than uninjured controls, which may be harmful to the joint. Increasing the first peak vertical ground reaction force (vGRF) during walking by visual biofeedback promotes more dynamic loading. Musculoskeletal (MSK) modeling has served to simulate the resulting knee contact mechanics from this intervention, but the impact of model personalization has not been examined. Therefore, we compared the use of generic and personalized MSK models to characterize knee joint contact mechanics during the stance phase of habitual and biofeedback walking of eight ACLR subjects. The generic approach consisted of a literature-based MSK model with a 12-degree-of-freedom knee. The personalized approach incorporated magnetic resonance imaging (MRI)-based cartilage articulating surfaces and ligament insertion points of the ACLR knees. In our results, the vGRF differed between habitual and biofeedback walking, as well as the flexion angle, joint contact forces, and extensor moment between walking conditions using either generic or personalized simulation approaches. Regarding the contact pressure-based results, the personalized approach illustrated clearer differences in the cumulative contact pressure between tibiofemoral compartments (p < 0.05, effect size ES > 1), and both models showed differences between walking conditions, like in the excursion of the center of contact pressure in the lateral compartment of femur (p < 0.05, ES > 0.5) and tibia (p < 0.05, ES > 0.7). In conclusion, using a generic model may suffice for limb-level kinetic and kinematic analysis, and contact pressure-based variables from either of the modeling approaches capture changes in walking. However, validation is needed regarding joint site-specific conclusions.
Indexed as
Identifiers
What OpenQuestion holds
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.