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Record W2955875530 · doi:10.31487/j.jicoa.2019.02.03

Adherence to the Canadian Cardiovascular Society Atrial Fibrillation Guidelines by Family Medicine Groups in Quebec: the I-FACILITER project

2019· article· en· W2955875530 on OpenAlexaffabout
Thao Huynh

Bibliographic record

VenueJournal of Integrative Cardiology Open Access · 2019
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineAtrial fibrillationOddsOdds ratioWarfarinAspirinInternal medicineStroke (engine)Logistic regression

Abstract

fetched live from OpenAlex

Background: The Canadian Cardiovascular Society (CCS) Atrial Fibrillation (AF) guidelines 2014 recommends oral anticoagulation (OAC) for patients with CHADS2 ?1 or age ?65 years and non-vitamin K oral anticoagulants (NOAC)s as the preferred medications. We aimed to evaluate adherence to these guidelines by family group practices (FMG) in Quebec. Methods and results: We completed a cross-sectional evaluation at 15 FMGs. There were 431 patients with non-valvular AF: mean age of 77.3±10.4 years and 52.9% were females. CHADS2 and HAS-BLED were infrequently documented (47% and 7%, respectively). Most patients (93%) were appropriately anticoagulated (96% for both patients with CHADS2 ?1 and patients with age ?65 years). Sixty-five percent of patients were anticoagulated with warfarin, 28% with NOACs and 21% of patients received a combination of oral anticoagulant (OAC)s and aspirin. Every decade increase in age was associated with 49% increase in odds of adherence to the guidelines and 26% decrease in odds of NOACs’s use. Each point increase in HAS-BLED was associated with 51% decrease in odds of adherence to the guidelines and 36% decrease in odds of NOACS’s use. No patient with HAS-BLED of ?5 received NOAC. Heart failure was associated with a 61% decrease in odds of NOACS’s use. Conclusion: AF management by FMGs could be improved by 1) increasing NOACs uptake, 2) decreasing the combination of OAC with ASA and 3) increasing documentation of stroke and bleeding risks.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.546
GPT teacher head0.597
Teacher spread0.052 · 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
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

Citations0
Published2019
Admission routes2
Has abstractyes

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