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Record W7116838294 · doi:10.1212/nxg.0000000000200339

Pediatric Cohort of Charcot-Marie-Tooth Disease

2025· article· en· W7116838294 on OpenAlex
Issa Alawneh, Alberto Alemán, Elisa Nigro, Maryse Bouchard, Hernán Gonorazky

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNeurology Genetics · 2025
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCohortDiseaseGenetic diagnosisCohort studyGenetic testingPediatric hospital

Abstract

fetched live from OpenAlex

Background and Objectives: Charcot-Marie-Tooth (CMT) disease is a heterogeneous group of hereditary peripheral neuropathies. While pediatric-onset CMT exhibits unique clinical and genetic characteristics, data on this subset remain sparse. This study investigates the clinical and genetic features of a pediatric CMT cohort in a single center in ON, Canada. Methods: A retrospective cross-sectional study reviewed data from patients diagnosed with CMT disease at The Hospital for Sick Children between 2013 and 2022. Genetic testing targeted up to 87 genes linked to CMT, with patient demographics, clinical features, electrodiagnostic findings, and orthopaedic complications analyzed using descriptive and inferential statistics. Results: Sixty-one patients from 14 genetically confirmed subtypes were included (29 female patients, 32 male patients). The median age at diagnosis was 7.7 years (range 1-17). Overall, foot deformities were present in 84% of patients, Achilles contractures in 42%, hammertoes in 28%, hip dislocation in 10%, and scoliosis in 23%. Discussion: This study provides a description of pediatric CMT disease in a Canadian cohort. We show that while genetic distributions mirror international data, family-based genetic screening can identify children even before clinical onset, and that orthopaedic complications are already common in early childhood. These findings reinforce the importance of early genetic confirmation, orthopaedic surveillance, and expanded sequencing strategies to improve care and refine genotype-phenotype correlations in pediatric CMT disease.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.789

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 science0.0010.000
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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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