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[Cognitive status and its relationship with serum neuropeptide Y in patients with obstructive sleep apnea hypopnea syndrome].

2018· article· en· W3023356633 on OpenAlexaboutno aff
Xiaojun Tang, Yang Lx, M Zhang, Zhao Wx, Lu Jc, Duan Zj, Ning Zhou, Yan Jun

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionCronbach's alphaMedicineCorrelationInternal medicineObstructive sleep apneaHypopneaNeuropeptide Y receptorAudiologyDiseaseCognitive impairmentApneaPolysomnographyClinical psychologyPsychiatryPsychometricsNeuropeptide

Abstract

fetched live from OpenAlex

MoCA in evaluating the cognitive function of adult with OSAHS is reliable, stable and effective, and when "directional ability" deleted,the reliability increases . The cognitive dysfunction of OSAHS patients is manifested in visual spatial ability, language and attention, which is obvious with the disease of severity; serum NPY levels can reflect the severity of OSAHS; there is no significant negative correlation between serum NPY level and MoCA total score. Whether it can be used to evaluate cognitive function in OSAHS patients needs further verification.

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 score0.002
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)0.0020.000

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 head0.025
GPT teacher head0.210
Teacher spread0.185 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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