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Record W2994511571 · doi:10.1503/cmaj.190747

Prescribing of oral anticoagulants in the emergency department and subsequent long-term use by older adults with atrial fibrillation

2019· article· en· W2994511571 on OpenAlexaffvenueabout
Clare Atzema, Cynthia A. Jackevicius, Alice Chong, Paul Dorian, Noah Ivers, Ratika Parkash, Peter C. Austin

Bibliographic record

VenueCanadian Medical Association Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsHealth Sciences CentreWomen's College HospitalQueen Elizabeth II Health Sciences CentreSunnybrook Health Science CentreSt. Michael's Hospital
Fundersnot available
KeywordsMedicineEmergency departmentAtrial fibrillationMedical prescriptionStroke (engine)Emergency medicineRetrospective cohort studyPropensity score matchingWarfarinAnticoagulantPediatricsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with atrial fibrillation frequently seek emergency care. Rates of guideline-concordant oral anticoagulant therapy for stroke prevention are suboptimal in the community. We assessed the association between prescribing of oral anticoagulants in the emergency department (relative to referral to a longitudinal care provider for treatment initiation) and long-term use of oral anticoagulants. METHODS: This retrospective cohort study performed at 15 hospitals in Ontario, Canada, involved patients aged 65 years or older who visited the emergency department between 2009 and 2014, who had a primary diagnosis of atrial fibrillation, were discharged home, and were eligible for and willing to take stroke-prevention therapy. We used inverse probability-of-treatment weighting based on the propensity score to compare patients who were and were not given a prescription for an oral anticoagulant. The primary outcome was a prescription fill for an oral anticoagulant 6 months later. Secondary outcomes included a prescription fill at 1 year, all-cause mortality, and strokes or bleeding events leading to hospital admission. RESULTS: Of 2132 eligible patients, 402 (18.9%) were given a prescription for an oral anticoagulant in the emergency department. After weighting, 67.8% of these patients had filled a prescription for an oral anticoagulant at 6 months versus 37.2% of those who did not receive a prescription in the emergency department (absolute risk increase [ARI] 30.6%, number needed to treat [NNT] 3). At 1 year, the ARI was 23.2% and the NNT was 4. Rates of death, stroke and bleeding events did not differ significantly. INTERPRETATION: In patients with atrial fibrillation who were eligible for stroke prevention, prescribing an oral anticoagulant in the emergency department was associated with substantially higher long-term use of oral anticoagulants compared with deferring to the longitudinal care provider to initiate this therapy. Physicians working in the emergency department should consider initiating oral anticoagulation in eligible patients who are being discharged to home.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.115
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.281
Teacher spread0.257 · 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

Citations32
Published2019
Admission routes3
Has abstractyes

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