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Record W4207069802 · doi:10.1093/europace/euac009

Administrative data confirm safety of same-day discharge following catheter ablation of atrial fibrillation: all good or is there a fly in the ointment?

2022· letter· en· W4207069802 on OpenAlexaff
Sebastian König, Jason G. Andrade, Andreas Bollmann

Bibliographic record

VenueEP Europace · 2022
Typeletter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalMontreal Heart InstituteUniversity of British Columbia
Fundersnot available
KeywordsMedicineAtrial fibrillationCatheter ablationGuidelineAblationCatheterCardiologyProtocol (science)Resource useIntensive care medicineInternal medicineEmergency medicineSurgery

Abstract

fetched live from OpenAlex

This editorial refers to ‘The 30-day readmission rate of same-day discharge protocol following catheter ablation for atrial fibrillation: a propensity score-matched analysis from National Readmission Database’ by Y. Sahashi et al., pp. 755--761. Catheter ablation (CA) of atrial fibrillation (AF) is the most effective rhythm control strategy, with superiority over antiarrhythmic drugs both as first- and second-line therapy.1,2 While the indication for CA has been strengthened by the current guideline provided by the European Society of Cardiology,3 it remains a resource-intensive procedure. Coupled with the projected increase in AF prevalence,3 the volume of AF ablation procedures is expected to proliferate, which increases demands on the health care system.4 In order to accommodate these demands the electrophysiology community needs to find ways to minimize health care resource utilization while also providing safe and effective CA procedures. Proposed solutions include technical innovations (e.g. high-power/short-duration or...

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)0.001
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.765
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.146
GPT teacher head0.375
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations6
Published2022
Admission routes1
Has abstractyes

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