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Record W2001614860 · doi:10.1080/00207450490509267

Case Report: PERIODIC LIMB MOVEMENT DISORDERS AND SPELLS OF PROFOUND MUSCLE WEAKNESS DUE TO AIRBORNE AND DIETARY FACTORS IN HUMANS

2004· article· en· W2001614860 on OpenAlexaff
J. W. Gerrard, J. Steven Richardson

Bibliographic record

VenueInternational Journal of Neuroscience · 2004
Typearticle
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMovement disordersRestless legs syndromePsychologyPhysical medicine and rehabilitationPopulationSittingWeaknessPhysical therapyMedicinePediatricsPsychiatryInternal medicineInsomniaSurgeryDisease

Abstract

fetched live from OpenAlex

Periodic limb movement disorders and the restless legs syndrome, generally considered to be sleep disorders, have a combined prevalence of almost 10% of the general population and are more common in women than in men. Although reduced dopamine activity in central nervous system motor control pathways seems to play a role, little, other than a list of associated risk factors, is known about the conditions that initiate the episodes. We report three patients, two teenage girls and one female teacher, who developed periodic limb movement disorders associated with high mold counts in a classroom and the gymnasium in the girls' school, and in the ventilating system in the teacher's school. Their disorders occurred when they attended their schools and cleared when they did not. These findings, combined with an earlier report of three cases where the disordered movements were triggered by dietary factors, suggest that in some patients, periodic limb movement disorders may be induced by inhalant as well as by dietary factors. Although these 6 patients may represent a subgroup of people with periodic limb movement disorders, potential dietary and environmental triggers should be considered in the clinical evaluation of patients seeking treatment for periodic limb movement disorders.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.291

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 head0.047
GPT teacher head0.353
Teacher spread0.306 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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