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Record W1975727024 · doi:10.1080/15402002.2011.557993

Factors Influencing Daytime Sleepiness in Chinese Patients With Obstructive Sleep Apnea

2011· article· en· W1975727024 on OpenAlex
Lichuan Ye

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBehavioral Sleep Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
FundersSichuan UniversityUniversity of WindsorBoston College
KeywordsObstructive sleep apneaMedicineInsomniaExcessive daytime sleepinessAnxietyApneaObesityDaytimeApnea–hypopnea indexPhysical therapySleep apneaSleep (system call)Internal medicinePolysomnographySleep disorderPsychiatry

Abstract

fetched live from OpenAlex

This study examined clinically significant physiological and psychological factors contributing to the complaint of daytime sleepiness in 108 Chinese patients with newly diagnosed obstructive sleep apnea (OSA). A higher degree of obesity and greater anxiety, in addition to a higher Apnea-Hypopnea Index, were associated with more daytime sleepiness. The results of this study suggest that the experience of daytime sleepiness goes beyond disturbed breathing caused by sleep apnea. The evaluation of a sleepy patient with OSA should include an assessment of obesity and emotional stress. Future studies in larger samples considering other important factors, such as comorbid insomnia and habitual sleep duration, are warranted to confirm this finding.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.312
Teacher spread0.268 · 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