Restrictive access to clopidogrel and mortality following coronary stent implantation
Bibliographic record
Abstract
BACKGROUND: In Canada, access to clopidogrel is restricted by most provincial drug insurance plans in order to contain costs. Until April 2007, the Régie de l'assurance maladie du Québec (RAMQ) Prescription Drug Insurance Plan reviewed special access forms before approving reimbursement for clopidogrel prescriptions. We investigated the impact of this restrictive process on patient's filling of prescriptions and on all-cause mortality following coronary stenting. METHODS: We analyzed prescriptions filled and all-cause mortality in the year following a percutaneous coronary intervention among patients who underwent stent implantation between January 2000 and September 2004. We obtained administrative data from the RAMQ databases. We included patients who filled at least 1 prescription for a nonrestricted cardiovascular drug after hospital discharge. We used Cox proportional models to compare mortality rates as a function of delayed or absent outpatient clopidogrel therapy. RESULTS: Of 13,663 patients, 1571 (11.5%) did not fill any clopidogrel prescription despite filling at least 1 nonrestricted cardiovascular drug prescription after a percutaneous coronary intervention, and 1174 (8.6%) patients filled their clopidogrel prescription with a delay of at least 1 day (median delay 5 days) after filling the nonrestricted cardiovascular drug prescription. After controlling for pertinent covariables, not filling a clopidogrel prescription (hazard ratio [HR] 1.70, 95% confidence interval [CI] 1.35-2.15) and filling with a delay (HR 1.34, 95% CI 1.01-1.80) were associated with a significant increase in all-cause mortality. INTERPRETATION: Restricted access to clopidogrel was associated with about 20% of patients either not receiving clopidogrel or receiving therapy after a delay. Delay or absence of clopidogrel therapy increased the risk of all-cause mortality after percutaneous coronary intervention with stenting.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".