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Record W2386897247

Role of oxidative stress and sleep structure on cognitive dyfunction in patients with obstructive sleep apnea-hypopnea syndrome

2014· article· en· W2386897247 on OpenAlexaboutno aff
Li Lon

Bibliographic record

VenueJournal of Southeast University · 2014
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsHypopneaMalondialdehydeObstructive sleep apneaPolysomnographyMedicineOxidative stressMontreal Cognitive AssessmentInternal medicineSleep apneaSuperoxide dismutaseCognitionRecallApneaGastroenterologyCognitive impairmentPsychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective: To investigate the possible biochemical mechanism of cognitive dyfuntion in patients with obstructive sleep apnea-hypopnea-hypopnea syndrome( OSAHS). Methods: Polysomnography was administered to twenty-eight patients with OSAHS and sixteen education and BMI-matched controls,all the cases were measured serum superoxide dismutase( SOD) and malondialdehyde( MDA) level by spectrophotometry and underwent the Montreal Cognitive Assessment. Results: The scores of MoCA and its subitems including calculation,language and delay recall in the patients with OSAHS were significantly lower than those in the controls( P 0. 01). The serum MDA level in patients was significantly higher than that in the controls( P 0. 01). The serum SOD level in patients was significantly lower than that in the controls( P 0. 01). The level of MDA and SOD was significantly correlated with the percentage of time during sleep spent with an oxygen saturation below 80% and the scores of MoCA and its subitems including calculation,language and delay recall( P 0. 05). Conclusion: Oxidative stress may play an important role in cognitive impairment in patients with OSAHS.

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 score0.016
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.005
GPT teacher head0.196
Teacher spread0.192 · 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
Published2014
Admission routes1
Has abstractyes

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