Nationwide Trends in Dispensing of Sodium Glucose Cotransporter 2 Inhibitors
Bibliographic record
Abstract
Background: Three large cardiovascular outcome trials have investigated the safety of sodium glucose cotransporter 2 (SGLT2) inhibitors. Objective: To analyze the nationwide dispensing of SGLT2 inhibitors before and after the publication of these trials. Methods: A cross-sectional study was conducted of monthly prescription dispensing of SGLT2 inhibitors from May 23, 2014, to April 30, 2019, using nationwide data for Canada. An autoregressive integrated moving average (ARIMA) model was fitted to the monthly number of tablets dispensed for each SGLT2 inhibitor; the model included a ramp intervention function at the publication dates of interest to estimate the impact on SGLT2 inhibitor dispensing patterns. Results: The rate of canagliflozin and dapagliflozin dispensing declined after publication of results of the empagliflozin cardiovascular trial in September 2015. After publication of results of the canagliflozin trial in June 2017, which indicated a reduction in cardiovascular events and an increase in the risk of lower-limb amputation, canagliflozin remained the most commonly dispensed SGLT2 inhibitor, but its rate of dispensing declined further. In contrast, the rate of empagliflozin dispensing increased, while the rate of dapagliflozin dispensing was unchanged. After publication of the dapagliflozin trial in November 2018, which indicated no clear reduction in cardiovascular events, short-term trends in dispensing of canagliflozin, empagliflozin, and dapagliflozin were largely unaffected. Conclusions: The cardiovascular outcome trials appeared to have an important impact on the dispensing of SGLT2 inhibitors in Canada. RÉSUMÉ Contexte : Trois grands essais portant sur les résultats cardiovasculaires avaient pour objet l’étude de l’innocuité des inhibiteurs du cotransporteur sodium-glucose de type 2 (SGLT2). Objectif : Analyser la délivrance nationale des inhibiteurs du SGLT2 avant et après la publication de ces essais. Méthodes : Une étude transversale a été menée sur la délivrance d’ordonnances mensuelles d’inhibiteurs du SGLT2 du 23 mai 2014 au 30 avril 2019, à l’aide de données nationales pour le Canada. Un modèle de moyenne mobile intégrée autorégressive (ARIMA) a été adapté au nombre mensuel de comprimés distribués pour chaque inhibiteur du SGLT2; le modèle comprenait une fonction d’intervention progressive aux dates de publication d’intérêt pour estimer l’effet sur les schémas de délivrance d’inhibiteurs du SGLT2. Résultats : Le taux de délivrance de canagliflozine et de dapagliflozine a diminué après la publication des résultats de l’essai cardiovasculaire empagliflozine en septembre 2015. Après la publication des résultats de l’essai cardiovasculaire canagliflozine en juin 2017, qui indiquaient une réduction des événements cardiovasculaires et une augmentation du risque d’amputation des membres inférieurs, la canagliflozine est restée l’inhibiteur du SGLT2 le plus couramment délivré, mais son taux de délivrance a encore diminué. En revanche, le taux d’empagliflozine délivré a augmenté, tandis que le taux de délivrance de dapagliflozine est resté identique. Après la publication de l’essai sur la dapagliflozine en novembre 2018, qui n’indiquait aucune réduction nette des événements cardiovasculaires, les tendances à court terme de la délivrance de la canagliflozine, de l’empagliflozine et de la dapagliflozine n’ont pratiquement pas changé. Conclusions : Les essais portant sur les résultats cardiovasculaires semblaient avoir un effet important sur la délivrance des inhibiteurs du SGLT2 au Canada.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".