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Record W2379621322

Relationship between Cognition of Obstructive Sleep Apnea/Hypopnea Syndrome Patients and Insulin-like Growth Factor II

2012· article· en· W2379621322 on OpenAlexaboutno aff
Weihong Wang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsnot available
Fundersnot available
KeywordsPolysomnographyInternal medicineMedicineObstructive sleep apneaHypopneaMontreal Cognitive AssessmentEndocrinologyInsulin-like growth factorSleep apneaBlood lipidsCognitionInsulinCognitive impairmentGrowth factorApneaCholesterolDiseasePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To determine the relationship of blood serum insulin like growth factor Ⅱ(IGF-Ⅱ)concentration with deterioration of cognitive function in patients with OSAHS and to explore the possible mechanism of cognitive impairment of OSAHS.Methods Twenty-eight male patients with OSAHS and fourteen normal men enrolled in the study.Polysomnography and MoCA had been conducted.Blood serum IGF-Ⅱ concentration was measured with ELISA.Results The blood serum IGF-Ⅱ concentration of OSAHS group was significantly increased compared with control group(t=5.587,P=0.000).The blood serum IGF-Ⅱ concentration of subjects was significantly negative associated with the score of MoCA(r=-0.483,P=0.001).It was significantly positive correlated with AHI and S1+S2(AHI:r=0.483,P=0.001,S1+S2:r=0.549,P=0.000),and it was significantly negative associated with the LSO,S3+S4 and REM(LSO:r=-0.449,P=0.003,S3+S4:r=-0.612,P=0.000,REM:r=-0.395,P=0.010).Conclusion The blood serum IGF-Ⅱ concentration of OSAHS is significantly increased compared with healthy people.It possibly plays a role in the mechanism of cognitive impairment of 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.262
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), 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
Published2012
Admission routes1
Has abstractyes

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