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Record W4376877081 · doi:10.6000/1929-6029.2023.12.06

Obstructive Sleep Apnea Syndrome Associated with Atrial Fibrillation in Adult Patients: A Systematic Review and Meta-Analysis

2023· review· en· W4376877081 on OpenAlexvenueno aff
Oswaldo Gómez Carrasco, B. Carrasco, Gerard Gómez, Rubén Espinoza-Rojas, Eder Jesús Orihuela-Manrique, Rosa Angélica García-Lara, Joan A. Loayza-Castro, Gianella Zulema Zeñas-Trujillo, Víctor Juan Vera-Ponce, Jhony A. De La Cruz‐Vargas

Bibliographic record

VenueInternational Journal of Statistics in Medical Research · 2023
Typereview
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsnot available
Fundersnot available
KeywordsObstructive sleep apneaAtrial fibrillationMedicineInternal medicineCardiologySleep apneaMeta-analysisApneaContinuous positive airway pressureObservational study

Abstract

fetched live from OpenAlex

Introduction: Obstructive sleep apnea syndrome (OSAHS) is a common disease. However, its diagnosis and treatment are underestimated. The main reason is that the upper airway completely or partially collapses, leading to repeated sleep apnea episodes. In addition, atrial fibrillation(AF) is the most frequent arrhythmia in the world, these two entities may be related and are important public health problems. Objective: To determine the association between obstructive sleep apnea syndrome and atrial fibrillation in adult patients. Materials and Methods: A systematic review and meta-analysis of observational studies that associate obstructive sleep apnea syndrome and atrial fibrillation was carried out. The search was carried out in 4 databases: PUBMED, Web of Science, Embase, Scopus. Results: Eight studies were included (n=562241). A significant association was found between obstructive sleep apnea and atrial fibrillation (OR: 1.38; 95% CI 1.24 to 1.54). In addition, low heterogeneity was found between studies I2: 13%. Conclusions: It was found that obstructive sleep apnea and atrial fibrillation are significantly associated.

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)0.010
metaresearch head score (Gemma)0.100
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.100
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.113
GPT teacher head0.463
Teacher spread0.350 · 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.

Study designMeta-analysis
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

Citations2
Published2023
Admission routes1
Has abstractyes

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