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Record W2743303297 · doi:10.1002/ana.25009

Natural history of Charcot‐Marie‐Tooth disease during childhood

2017· article· en· W2743303297 on OpenAlexfundno aff
Kayla Cornett, Manoj P. Menezes, Rosemary Shy, Isabella Moroni, Emanuela Pagliano, Davide Pareyson, Timothy Estilow, Sabrina W. Yum, Trupti Bhandari, Francesco Muntoni, Matilde Laurá, Mary M. Reilly, Richard S. Finkel, Kate Eichinger, David N. Herrmann, Paula Bray, Mark Halaki, Michael E. Shy, Joshua Burns

Bibliographic record

VenueAnnals of Neurology · 2017
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNatural Sciences and Engineering Research Council of CanadaMedical Research CouncilNational Institute for Health and Care Research
KeywordsConfidence intervalInternal medicineNatural history studyMedicineNatural historyBalance (ability)AnthropometryDemographyPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the rate of disease progression in a longitudinal natural history study of children with Charcot-Marie-Tooth (CMT) disease. METHODS: Two hundred six (103 female) participants aged 3 to 20 years enrolled in the Inherited Neuropathies Consortium were assessed at baseline and 2 years. Demographic, anthropometric, and diagnostic information were collected. Disease progression was assessed with the CMT Pediatric Scale (CMTPedS), a reliable Rasch-built linearly weighted disability scale evaluating fine and gross motor function, strength, sensation, and balance. RESULTS: On average, CMTPedS Total scores progressed at a rate of 2.4 ± 4.9 over 2 years (14% change from baseline; p < 0.001). There was no difference between males and females (mean difference, 0.5; 95% confidence interval [CI], -0.9 to 1.9; p = 0.49). The most responsive CMTPedS items were dorsiflexion strength (z-score change, -0.3; 95% CI, -0.6 to -0.05; p = 0.02), balance (z-score change, -1.0; 95% CI, -1.9 to -0.09; p = 0.03), and long jump (z-score change, -0.4; 95% CI, -0.7 to -0.02; p = 0.04). Of the most common genetic subtypes, 111 participants with CMT1A/PMP22 duplication progressed by 1.8 ± 4.2 (12% change from baseline; p < 0.001), 9 participants with CMT1B/MPZ mutation progressed by 2.2 ± 5.1 (11% change), 6 participants with CMT2A/MFN2 mutation progressed by 6.2 ± 7.9 (23% change), and 7 participants with CMT4C/SH3TC2 mutations progressed by 3.0 ± 4.5 (12% change). Participants with CMT2A progressed faster than CMT1A (mean difference, -4.4; 95% CI, -8.1 to -0.8; p = 0.02). Children with CMT1A progressed consistently through early childhood (3-10 years) and adolescence (11-20 years; mean difference, 1.1; 95% CI, -0.6 to 2.7; p = 0.19), whereas CMT2A appeared to progress faster during early childhood than adolescence (mean difference, 10.0; 95% CI, -2.2 to 22.2; p = 0.08). INTERPRETATION: Using the CMTPedS as an outcome measure of disease severity, children with CMT progress at a significant rate over 2 years. Understanding the rate at which children with CMT deteriorate is essential for adequately powering trials of disease-modifying interventions. Ann Neurol 2017;82:353-359.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.296
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 source (direct Gemma or distilled Codex), 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

Citations77
Published2017
Admission routes1
Has abstractyes

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