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Record W2148710174 · doi:10.1161/strokeaha.110.596759

Sleep Apnea in Patients With Transient Ischemic Attack and Minor Stroke

2010· article· en· W2148710174 on OpenAlexaff
Wesley Chan, Shelagh B. Coutts, Patrick J. Hanly

Bibliographic record

VenueStroke · 2010
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineStroke (engine)Obstructive sleep apneaSleep apneaRespiratory disturbance indexPopulationSleep disorderHypoxia (environmental)ApneaPediatricsInternal medicinePhysical therapyCardiologyPolysomnographyInsomnia

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Patients with TIA and minor stroke are at high risk for recurrent stroke. Obstructive sleep apnea (OSA) may increase this risk. The objectives of our study were to determine the prevalence and severity of OSA and its clinical presentation in this population. METHODS: Patients who presented with TIA and minor stroke completed a questionnaire and nocturnal cardiopulmonary monitoring to diagnose OSA and associated nocturnal hypoxia. RESULTS: Sixty-six patients completed the study; 62% had OSA (respiratory disturbance index > 5). Forty-four percent of these patients had moderate or severe OSA (respiratory disturbance index > 15) that was associated with significant nocturnal hypoxia. Most patients did not have the typical clinical features of OSA, such as obesity and daytime sleepiness. CONCLUSIONS: Patients who experience TIA and minor stroke have a high prevalence of OSA and associated hypoxia. The atypical clinical presentation of OSA in this patient population may lead to under-recognition and treatment. Further studies are required to determine the impact of treating OSA on the risk of recurrent stroke.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.559

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 integrity0.0000.001
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 head0.010
GPT teacher head0.261
Teacher spread0.251 · 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

Citations64
Published2010
Admission routes1
Has abstractyes

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