MétaCan
Menu
Back to cohort
Record W4313334390 · doi:10.1016/j.cjco.2022.12.012

The Impact of Statins on Postdischarge Atrial Fibrillation After Cardiac Surgery: Secondary Analysis from a Randomized Trial

2022· article· en· W4313334390 on OpenAlexafffund
Makoto Hibino, Subodh Verma, Arjun Pandey, Gianluigi Bisleri, Bobby Yanagawa, Raj Kumar Verma, Pankaj Puar, Adrian Quan, Hwee Teoh, Terrence M. Yau, Atul Verma, Andrew C.T. Ha, C. David Mazer

Bibliographic record

VenueCJC Open · 2022
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcGill UniversityToronto General HospitalUniversity of TorontoUniversity Health NetworkMcMaster UniversitySt. Michael's Hospital
FundersHLS TherapeuticsServierNovo NordiskAmarin CorporationBristol-Myers SquibbEli Lilly and CompanyAstraZenecaAtriCureEdwards LifesciencesAmgenBoehringer IngelheimPfizerHeart and Stroke Foundation of CanadaSanofi
KeywordsMedicineAtrial fibrillationInternal medicineCardiologyHazard ratioAtrial flutterRandomized controlled trialConfidence intervalStroke (engine)Odds ratioClinical endpointStatinCardiac surgeryRandomization

Abstract

fetched live from OpenAlex

Background: ibrillation (SEARCH-AF) CardioLink-1 randomized controlled trial. Methods: -VASc score ≥ 2) and no history of preoperative atrial fibrillation (AF) to 30-day continuous cardiac rhythm monitoring after discharge from cardiac surgery with a wearable, patched-based device or to usual care. The primary endpoint was the occurrence of cumulative AF and/or atrial flutter lasting for ≥ 6 minutes detected by continuous monitoring, or AF and/or atrial flutter documented by a 12-lead electrocardiogram within 30 days of randomization. Results: = 0.0082). Conclusions: The use of statins was associated with a reduction in postdischarge POAF risk among patients undergoing cardiac surgery. The routine use of high-intensity statin to prevent subacute POAF after discharge deserves further study.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.035
GPT teacher head0.351
Teacher spread0.316 · 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 designRandomized trial
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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueCJC OpenSame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207