Atrial fibrillation anticoagulation care in a large urban family medicine practice.
Bibliographic record
Abstract
OBJECTIVE: To determine the proportion of patients with atrial fibrillation (AF) in primary care achieving guideline-concordant stroke prevention treatment based on both the previous (2010) and the updated (2012) Canadian guideline recommendations. DESIGN: Retrospective chart review. PARTICIPANTS: Primary care patients (N = 204) with AF. The mean age was 71.3 years and 53.4% were women. SETTING: Large urban community family practice in Toronto, Ont. MAIN OUTCOME MEASURES: Patient demographic characteristics such as sex and age; a list of current cardiac medications including anticoagulants and antiplatelets; the total number of medications; relevant current and past medical history including presence of diabetes, stroke or transient ischemic attack, hypertension, and vascular disease; number of visits to the family physician and cardiologist in the past year and past 5 years, and how many of these were for AF; the number of visits to the emergency department or hospitalizations for AF, congestive heart failure, or stroke; if patients were taking warfarin, how often their international normalized ratios were recorded, and how many times they were in the reference range; CHADS2 (congestive heart failure, hypertension, age ≥ 75, diabetes mellitus, and stroke or transient ischemic attack) score, if recorded; and reason for not taking oral anticoagulants when they should have been, if recorded. RESULTS: Among those who had CHADS2 scores of 0, 64 patients (97.0%) were receiving appropriate stroke prevention in AF (SPAF) treatment according to the 2010 guidelines. When the 2012 guidelines were applied, 39 patients (59.1%) were receiving appropriate SPAF treatment (P < .001). For those with CHADS2 scores of 1, 88.4% of patients had appropriate SPAF treatment according to the 2010 guidelines, but only 55.1% were adequately treated according to the 2012 guidelines (P < .001). Of the patients at the highest risk (CHADS2 score > 1), 68.1% were adequately treated with anticoagulation and an additional 8.7% (6 of 69) had documented reasons why they were not taking anticoagulants. CONCLUSION: When assessed using the 2012 Canadian Cardiovascular Society AF guidelines, the proportion of patients receiving appropriate SPAF therapy in this primary care setting decreased substantially. All patients with CHADS2 scores of 0 or 1 should be reassessed to ensure that they are receiving optimal stroke prevention treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".