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Record W4406132855 · doi:10.1097/pxr.0000000000000426

Foot orthosis design for children with Charcot-Marie-Tooth and impact on gait

2025· article· en· W4406132855 on OpenAlexafffund
Mélissa Martel, Audrey Parent, Nancy Rivet, Carole Fortin, Laurent Ballaz

Bibliographic record

VenueProsthetics and Orthotics International · 2025
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsUniversité de MontréalQuebec Rehabilitation Research NetworkUniversité du Québec à MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCentre hospitalier universitaire Sainte-Justine
KeywordsGaitPhysical medicine and rehabilitationMedicineRange of motionTooth diseaseFoot deformityFoot (prosody)DeformityPlantar pressureGait analysisPreferred walking speedPhysical therapyOrthoticsFoot OrthosesGait cycleOrthodonticsDiseaseSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Charcot-Marie-Tooth (CMT) is a progressive disease resulting in distal sensory deficit and muscular weakness. As the disease progresses, most children develop a cavovarus foot deformity. Foot orthoses (FO) are widely prescribed in CMT to support the foot and improve gait, but there is a lack of guidelines for their conception. The aim of this pilot study was to report the methodology used for the design of FO (FOmax) based on an evaluation of foot deformities and to assess its effects on gait in children with CMT. METHODS: This study included 11 children with CMT. Participants were provided with a classic pair of FO (FOclass) and a pair of FOmax. A full evaluation of foot deformities was performed, and a decision-making algorithm was used for the FOmax design. A gait analysis was performed with both FO after 3 months of wear. RESULTS: Wearing FOmax compared with FOclass increased walking speed, step length, and single stance time. Hip flexion/extension range of motion during stance also increased. The pressure-time integral decreased on the lateral midfoot with FOmax. CONCLUSIONS: These results suggest that the FOmax, based on the algorithm, offers benefits for walking in children with CMT. The increased step length could be related to the increase of hip range of motion. The increase in walking speed and single support times could result from a better distribution of the plantar pressure that optimizes stability during walking. The present results need to be confirmed with a larger sample.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.286
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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