Real-world utilization and safety of ipilimumab plus nivolumab (I+N) in metastatic renal cell carcinoma (mRCC) patients: Results from the Canadian Kidney Cancer Information System (CKCis).
Notice bibliographique
Résumé
633 Background: I+N is now standard of care for first line treatment of intermediate/poor risk mRCC patients (pts). Real world data is vital to understand drug usage, toxicity and outcomes in non-trial pts. This project describes the amount and tolerability of treatment delivered including discontinuation rates, reasons for discontinuation and outcomes from the CKCis database. Methods: Pts in CKCis, a prospective Canadian database from 15 academic centers, who received first line I+N were included. The number of doses of I+N, number of pts who received single-agent nivolumab (N) and duration of single agent N were determined. Reasons for treatment discontinuation, including the rate, type, and grade of toxicities were identified. Efficacy outcomes included time to failure (TTF – time to progression, death, or second line therapy), overall response rate (ORR) and overall survival (OS). Results: The cohort consists of 182 pts. Median age was 63 yrs, 71% had clear cell histology, 11% were on a clinical trial, the IMDC risk distribution was 5% good, 63% intermediate, 32% poor. Median follow up was 8.8 m. All 4 I+N doses were received by 30% of pts of which 78% went on to receive single-agent N. Less than 4 doses of I+N were received by 70% of pts of which 28% went on to receive single-agent N. The median time on single agent N was 5.7 m. In the entire cohort, 21% of patients discontinued therapy due to toxicity. The most common toxicity events were colitis (56% of all events), pneumonitis (19%), and hepatitis (8%). There were no toxicity-related deaths. Median OS has not been reached (22 events to date). Median TTF was 12.4 m. ORR was 32% (5% complete responses). 26% of pts received second line treatment, the most common being sunitinib in 79%. Conclusions: In this real world cohort, the majority of mRCC pts did not receive all 4 doses of I+N, contrasting with clinical trial reporting, yet many of these pts went on to receive single agent N. Discontinuation rates due to toxicity were similar to those reported in CheckMate 214. Further follow up is ongoing and efficacy outcomes analyzed on the basis of treatment quantity/duration will be presented.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».