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Record W4400200744 · doi:10.1080/01658107.2024.2371158

Obstructive Sleep Apnea in Idiopathic Intracranial Hypertension: Systematic Review and Meta-Analysis

2024· review· en· W4400200744 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeuro-Ophthalmology · 2024
Typereview
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMeta-analysisObstructive sleep apneaMedicineSleep apneaSystematic reviewCardiologyInternal medicineMEDLINE

Abstract

fetched live from OpenAlex

This study aims to determine the association between obstructive sleep apnea (OSA) and idiopathic intracranial hypertension (IIH). A systematic review and meta-analysis were performed per the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. A search of electronic information through MEDLINE, EMBASE, and Cochrane Library was conducted to identify all studies reporting the association between OSA and IIH. The primary outcome was the prevalence of OSA. A random effects model was used for the analysis. Of 1469 studies identified, eight studies enrolling 241 patients were included. Overall, the pooled estimate of the proportion of OSA in patients with IIH was 0.424 (95% CI: 0.258 to 0.609), indicating a significant association (p < .05). In subgroup analysis, individuals with confirmed OSA diagnosis exhibited a prevalence rate of 0.407 (CI: 0.235 to 0.604, p < .05). For those with a positive OSA screening, the prevalence rate was 0.464 (CI: 0.043 to 0.943, p < .05). Clinicians should screen for OSA in patients with newly diagnosed IIH.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0220.004
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.101
GPT teacher head0.373
Teacher spread0.272 · 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