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Record W2036533303 · doi:10.1212/wnl.57.3.559

Creatine monohydrate does not increase strength in patients with hereditary neuropathy

2001· article· en· W2036533303 on OpenAlexaff
Timothy J. Doherty, Kathryn Lougheed, Jernej Markez̆, Mark A. Tarnopolsky

Bibliographic record

VenueNeurology · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsLawson Health Research Institute
Fundersnot available
KeywordsCreatine MonohydrateMedicineCrossover studyPlaceboCreatinePhysical therapyInternal medicineGrip strengthClinical trialPathology

Abstract

fetched live from OpenAlex

Creatine is a guanidino compound produced endogenously by the liver and consumed in diets inclusive of meat and fish. Creatine monohydrate (CM) supplementation increases lean body mass, high-intensity power output, and strength in young healthy volunteers.1 Clinical trials of CM supplementation have demonstrated modest improvements in muscular strength, endurance, and activities of daily living (ADL) for patients with neuromuscular disorders.2-4⇓⇓ We evaluated the potential benefits of short-term CM supplementation for patients with hereditary motor sensory neuropathy (HMSN) type I and II. ### Subjects. Thirty-nine subjects (mean age 42.5 years) with HMSN types I (n = 34) and II (n = 5) gave their informed consent to take part. The diagnosis of HMSN I or II was confirmed from the clinical presentation, family history, as well as confirmatory genetic or electrophysiologic assessment. ### Study design. A double-blinded, placebo-controlled, crossover design was used. Subjects were randomized to CM or placebo for 1 month, followed by a 5-week washout period. They then …

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.003
GPT teacher head0.187
Teacher spread0.184 · 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 designNon-randomized trial
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
Published2001
Admission routes1
Has abstractyes

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