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Record W81638113 · doi:10.1155/2004/934024

McArdle′s Disease Presenting as Unexplained Dyspnea in a Young Woman

2004· article· en· W81638113 on OpenAlexaff
Nha Voduc, Katherine A. Webb, Christine L. D’Arsigny, I. McBride, Denis E. O’Donnell

Bibliographic record

VenueCanadian Respiratory Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineExercise intoleranceCardiologyHyperventilationMuscle biopsySubclinical infectionRespiratory systemInternal medicineHyperpneaBiopsyHeart failure

Abstract

fetched live from OpenAlex

McArdle's disease is a rare, inherited deficiency of myophosphorylase, an enzyme required for the utilization of glycogen. Patients with myophosphorylase deficiency classically present with exercise intolerance, leg pain and muscle fatigue. The case of a young woman with exertional dyspnea and leg cramps is described. Exercise testing confirmed the presence of exercise intolerance and demonstrated an accelerated heart rate response, despite the absence of an anaerobic threshold and a respiratory exchange ratio of less than 1.0. Subsequent ischemic forearm testing and muscle biopsy confirmed the diagnosis of myophosphorylase deficiency. Evaluation of lung mechanics with esophageal pressure measurements demonstrated the presence of respiratory muscle weakness and early fatiguability, suggesting that the patient's dyspnea might have been attributable to an increased respiratory effort. Dyspnea is not a classic symptom associated with myophosphorylase deficiency, although subclinical respiratory muscle impairment may be present. No previous studies have evaluated respiratory muscle function during exercise in patients with myophosphorylase deficiency.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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 designCase report
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

Citations16
Published2004
Admission routes1
Has abstractyes

Explore more

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