Cost-utility analysis of low-dose pioglitazone in a population with prediabetes and a history of stroke and TIA
Notice bibliographique
Résumé
Abstract BACKGROUND Among patients with type 2 diabetes and a history of strokes or transient ischemic attacks, pioglitazone significantly reduces the risk of recurrent stroke. The Insulin Resistance Intervention in Stroke (IRIS) trial found that pioglitazone also reduced the risks of stroke or transient ischemic attacks and new-onset diabetes among patients with insulin resistance. As reported by our previous work, the low-dose pioglitazone was found to provide most of the clinical benefit of high-dose pioglitazone, with fewer adverse effects. We report a model-based economic evaluation to determine the cost-effectiveness of the low-dose pioglitazone versus placebo. METHODS A lifetime Markov model, with an annual cycle length and five health states (event-free, myocardial infarction, stroke, new-onset diabetes, death), was developed. Transition probabilities were extracted from a subgroup of IRIS patients with insulin resistance, defined by a glycosylated hemoglobin level of 5.7% to 6.4% (mean follow-up of 5 years). Health state costs and utilities were based on public sources and literature data, respectively. Utilities were weighted by time spent in health states to calculate quality-adjusted life years (QALYs). The incremental cost per QALY gained was estimated for the population. Annual discount rates of 0%, 1.5%, and 3% were applied. In addition to deterministic analyses, probabilistic sensitivity analyses were conducted to deal with parameter uncertainty. The analyses were conducted from a Canadian public payer perspective in 2023 Canadian dollars. RESULTS The base case results indicated that over a lifetime, the expected costs were CAN$31,534 for low-dose pioglitazone and CAN$55,076 for placebo, resulting in a cost saving of CAN$23,542 in favor of the low-dose pioglitazone. Expected QALYs were 25.10 for the low-dose pioglitazone daily and 19.32 for placebo, resulting in a difference of 5.78 QALYs in favor of low-dose pioglitazone. Probability sensitivity analyses with varying discount rates confirmed these results. CONCLUSIONS Compared with placebo, low-dose pioglitazone is the dominant strategy. Key Points Question Compared with a placebo, is low-dose pioglitazone cost-effective in treating stroke/ transient ischemic attack (TIA) and new-onset diabetes in a simulated population with prediabetics? Findings Over a lifetime, the expected costs were CAN$31,534 for low-dose pioglitazone and CAN$55,076 for placebo, resulting in a cost saving of CAN$23,542 in favor of low-dose pioglitazone. Expected QALYs were 25.10 for low-dose pioglitazone daily and 19.32 for placebo, resulting in a difference of 5.78 QALYs in favor of low-dose pioglitazone. Sensitivity and scenario analyses confirmed the results. Meaning The model-based economic evaluation indicates that low-dose pioglitazone, compared with placebo, is the dominant strategy.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».