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Record W2079998884 · doi:10.1111/acem.12016

An International View of How Recent‐onset Atrial Fibrillation Is Treated in the Emergency Department

2012· article· en· W2079998884 on OpenAlexaffabout
Carly Rogenstein, Anne‐Maree Kelly, Suzanne Mason, Sandra M. Schneider, Eddy Lang, Catherine M. Clement, Ian G. Stiell

Bibliographic record

VenueAcademic Emergency Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of CalgaryOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineEmergency departmentAtrial fibrillationFamily medicineEmergency medicineDemographicsDescriptive statisticsCardioversionDemographyMedical emergencyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: This study was conducted to determine if there is practice variation for emergency physicians' (EPs) management of recent-onset atrial fibrillation (RAF) in various world regions (Canada, United States, United Kingdom, and Australasia). METHODS: The authors completed a mail and e-mail survey of members from four national emergency medicine (EM) associations. One prenotification letter and three survey letters were sent to members of the Canadian Association of Emergency Physicians (CAEP; Canada-1,177 members surveyed), American College of Emergency Physicians (ACEP; United States-500), College of Emergency Medicine UK (CEM; United Kingdom-1,864), and Australasian College for Emergency Medicine (ACEM; Australasia-1,188) as per the modified Dillman technique. The survey contained 23 questions related to the management of adult patients with symptomatic RAF (either a first episode or paroxysmal-recurrent) where onset is less than 48 hours and cardioversion is considered a treatment option. Data were analyzed using descriptive and chi-square statistics. RESULTS: Response rates were as follows: overall, 40.5%; Canada, 43.0%; United States, 50.1%; United Kingdom, 38.1%; and Australasia, 38.0%. Physician demographics were as follows: 72% male and mean (±SD) age 41.7 (±8.39) years. The proportions of physicians attempting rate control as their initial strategy are United States, 94.0%; Canada, 70.7%; Australasia, 61.1%; and United Kingdom, 43.1% (p < 0.0001). Diltiazem is the predominant agent for rate control in Canada (65.36%) and the United States (95.22%), while metoprolol is used in Australasia (65.94%) and the United Kingdom (67.64%). Cardioversion is attempted at varying rates in Canada (65.9%), Australasia (49.9%), United Kingdom (49.5%), and the United States (25.9%) (p < 0.0001). Pharmacologic cardioversion is attempted first in all regions, with the preferred drug being procainamide in Canada (61.93%) and amiodarone in Australasia (63.39%), the United Kingdom (47.97%), and the United States (22.41%; p < 0.0001). If drugs fail, electrical cardioversion is then attempted in Canada (70.64%), Australasia (46.19%), the United States (29.69%), and the United Kingdom (27.78%; p < 0.0001). CONCLUSIONS: There is much variation in emergency department (ED) management of RAF among world regions, most markedly for use of rate versus rhythm control, choice of drugs, and use of electrical cardioversion. Canadians are more likely to use an aggressive approach for management of RAF, whereas Americans are more likely to employ conservative management. U.K. and Australasian EPs fall somewhere in the middle. These differences demonstrate the need for better evidence, or better synthesis of existing knowledge, to create guidelines to guide ED management of this common dysrhythmia.

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)0.003
metaresearch head score (Gemma)0.014
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.120
GPT teacher head0.415
Teacher spread0.296 · 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
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

Citations79
Published2012
Admission routes2
Has abstractyes

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