MétaCan
Menu
Back to cohort
Record W4414002673 · doi:10.1016/j.nmd.2025.106213

Surgical correction of foot deformities in Charcot-Marie-Tooth-disease: effects on personal goals and gait capacity

2025· article· en· W4414002673 on OpenAlexaboutno aff
Heleen van der Wielen, Jorik Nonnekes, Michelle van Mierlo, C.C.M.A. Donken, Jan Willem K. Louwerens, Noël Keijsers

Bibliographic record

VenueNeuromuscular Disorders · 2025
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsnot available
FundersZonMw
KeywordsTooth diseaseGaitFoot (prosody)Physical medicine and rehabilitationMedicineDiseasePathologyArt

Abstract

fetched live from OpenAlex

Charcot Marie Tooth disease (CMT) is the most common group of inherited muscular disorders, resulting in foot deformities. Foot and ankle surgical procedures are frequently performed to improve function in persons with CMT. Understanding the patients' personal goals is crucial for effective counselling. However, there is limited evidence regarding the extent to which personal goals are achieved through surgery, as well as the impact of surgery on balance and gait capacity. A prospective cohort study was conducted in 28 persons with CMT who underwent surgery. A wide range of personal goals was identified using the Canadian Occupational Performance Measure (COPM), with the most common goal being 'less problems during walking on uneven ground with shoes'. Wilcoxon signed-rank revealed a significant improvement in mean COPM scores after surgery for both performance (median difference: 3.0, range: -2 to 8; p < 0.001) and satisfaction (3.5, -2 to 9; p ≤ 0.001). Mini-BESTest (balance capacity) also showed significant improvement (17.0 to 20.3 points, p < 0.001), whereas gait (gait velocity, gait width, and single support time) remained unchanged. This study highlights the variability in personal goals, with an overlap on individual and group levels. After surgery, balance capacity improved, both objectively and subjectively.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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.

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 routes1
Has abstractyes

Explore more

Same venueNeuromuscular DisordersSame topicHereditary Neurological DisordersFrench-language works237,207