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Record W1986050361 · doi:10.4061/2011/589781

Cost of AF Ablation: Where Do We Stand?

2011· article· en· W1986050361 on OpenAlexaff
Yaariv Khaykin, Yana Shamiss

Bibliographic record

VenueCardiology Research and Practice · 2011
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSouthlake Regional Health Center
Fundersnot available
KeywordsMedicineAtrial fibrillationCatheter ablationAblationQuality of life (healthcare)Intensive care medicineIndirect costsCardiology

Abstract

fetched live from OpenAlex

Atrial fibrillation (AF) is a common and frequently disabling chronic condition associated with significant patient morbidity and affecting an increasing stratum of our ageing society. Direct costs related to atrial fibrillation are comprised from direct cost of medical therapy, catheter ablation, and related hospitalizations and imaging procedures, with indirect costs related to complications of the primary therapeutic strategy, management of related conditions, as well as disability and loss in quality of life related to AF. Over the last decade, catheter ablation became a promising alternative to rate and rhythm control among symptomatic AF patients. The purpose of this paper is to describe the evidence on the financial implications related to ablation based on published data and authors' experience.

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)0.015
metaresearch head score (Gemma)0.080
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.080
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.007
Science and technology studies0.0010.003
Scholarly communication0.0100.016
Open science0.0030.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0110.002

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 head0.448
GPT teacher head0.495
Teacher spread0.047 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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