MétaCan
Menu
Back to cohort
Record W2101209873 · doi:10.1586/14779072.2014.969713

The relationship between obstructive sleep apnea and atrial fibrillation in special patient populations

2014· review· en· W2101209873 on OpenAlexaff
Doran Drew, Amro Qaddoura, Adrián Baranchuk

Bibliographic record

VenueExpert Review of Cardiovascular Therapy · 2014
Typereview
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsKingston General HospitalQueen's University
Fundersnot available
KeywordsMedicineObstructive sleep apneaAtrial fibrillationCardiologyInternal medicineCoronary artery diseaseHeart failureContext (archaeology)Stroke (engine)CardioversionIntensive care medicine

Abstract

fetched live from OpenAlex

Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder associated with both cardiovascular morbidity and mortality. Studies have shown a strong relationship between OSA and the most common cardiac arrhythmia - atrial fibrillation (AF). In this review, the authors intend to analyze AF in the context of OSA in populations of special medical interest; specifically investigating OSA in post-cardioversion, post-pulmonary isolation and post-coronary artery bypass graft patients as well as those afflicted by congestive heart failure, hypertrophic cardiomyopathy, coronary artery disease, erectile dysfunction and stroke. Moreover, the authors will highlight the importance of OSA severity, our current understanding of its mechanistic link to AF pathophysiology and treatment options.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.079
GPT teacher head0.384
Teacher spread0.304 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueExpert Review of Cardiovascular TherapySame topicObstructive Sleep Apnea ResearchFrench-language works237,207