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Record W4252584850 · doi:10.1093/ptj/81.3.945

Malignant Hyperthermia

2001· article· en· W4252584850 on OpenAlexaff
Josie K Kozack, Donna L. MacIntyre

Bibliographic record

VenuePhysical Therapy · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMalignant hyperthermiaHyperthermiaMedicineInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Malignant hyperthermia (MH), a potentially fatal hypermetabolic reaction, is a genetic disorder of skeletal muscle.1–8 The triggers for the hypermetabolic reaction are some anesthetics and muscle relaxants, or extreme stress in the form of heat or exercise.4–6 If recognized early, the MH reaction can be reversed by the administration of dantrolene, a muscle relaxant, in addition to medical treatment such as cooling and hyperventilation.1 Unfortunately, by the time the condition is recognized, the individual may have experienced extensive muscle damage (rhabdomyolysis) due to sustained muscle rigidity9 and, therefore, have muscle pain and weakness and decreased range of motion (ROM) in the affected extremities.10 Physical therapists may encounter clients with MH in a variety of settings such as on sports fields, in the clinic, and in intensive care units. Understanding the etiology, pathophysiology, clinical presentation, and medical management of MH should provide the basis for physical therapy management of this complicated and intriguing disorder. There is a paucity of literature, however, regarding physical therapy treatment of MH. The purpose of this article is to increase awareness for physical therapy practitioners about MH in susceptible clients.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.269
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations12
Published2001
Admission routes1
Has abstractyes

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