Access to initial and subsequent indications of new oncology drugs: A US-Canada comparison.
Notice bibliographique
Résumé
e23048 Background: Timelines of regulatory and health technology assessment (HTA) submissions and decisions vary by country, impacting patient access to new drugs and subsequent indications. Research on international oncology drug access often focuses on one step towards access (e.g., regulatory approval) or initial indications. We compared the full access ‘funnel,’ including regulatory and HTA submissions and decisions, between the United States (US) and Canada for initial and subsequent indications in multi-indication oncology drugs. Methods: We recorded all oncology drugs with both initial and subsequent indications approved by the FDA from 2018-2023. US regulatory dates were obtained from Drugs@FDA. Canadian regulatory and HTA dates and decisions were extracted from NAVLIN®, Health Canada (HC), and the Canadian Agency for Drugs and Technologies in Health (CADTH; now Canada’s Drug Agency). We calculated the number of FDA-approved drug-indication pairs submitted, approved, and reimbursed in Canada, overall and by indication type (i.e., initial or subsequent). We estimated median (IQR) time from FDA approval (all FDA-approved oncology drugs are covered by Medicare) to patient access in Canada, indicated by the date of a “reimburse” recommendation or censoring (1/28/25). Results: A total of 25 oncology drugs had both an initial and subsequent indication approved by the FDA from 2018-2023, for a sample of 64 drug-indication pairs. Forty (62.5%, n = 40/64) drug-indication pairs were submitted to HC, including 80% (n = 20/25) of initial and 51.3% (n = 20/39) of subsequent indications. Of drug-indication pairs submitted to both agencies, 85% (n = 34/40) were submitted first to the FDA, including 95% (n = 19/20) of initial and 75% (n = 15/20) of subsequent indications. All indications submitted to HC were approved, and 90% (n = 36/40) were submitted to CADTH. Of those 36 drug-indication pairs, 86.1% (n = 31) received a recommendation to reimburse, including 76.5% (n = 13/17) of initial and 94.7% (n = 18/19) of subsequent indications. Overall, then, of FDA-approved initial and subsequent indications, 52% (n = 13/25) and 46.2% (n = 18/39), respectively, gained “reimburse” recommendations. The median time from US to Canadian access was 689 days overall (IQR: 435, 1311), 755 days (IQR: 509, 1846) for initial indications, and 588 days (IQR: 363, 1232) for subsequent indications. In drugs with “reimburse” recommendations, a median of 645 (IQR: 481, 750) and 328 (IQR: 153, 541) days elapsed between US and Canadian access to initial and subsequent indications, respectively. Conclusions: Access to new cancer drugs and their subsequent indications was higher in the US than Canada. FDA-approved initial indications were more often submitted to HC and given a “reimburse” recommendation by CADTH than subsequent indications. However, delays to approval and reimbursement were numerically longer for initial than subsequent indications.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,003 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,005 | 0,012 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».