Effectiveness and Cost of Rituximab for CLL in the Province of Manitoba Prior to Its Approval As Part of First Line Treatment
Notice bibliographique
Résumé
Abstract Abstract 4701 Introduction: In Manitoba (MB), population 1.25 million, utilization of parenteral oncology drugs is captured through a provincial oncology drug program (PODP) database. The MB Oncology Drug Utility and Clinical Outcomes Program (MODUCO) evaluates drug/regimen utilization with correlation to clinical outcomes. Rituximab (R) accounts for a significant proportion of PODP expenditures, as such monitoring effectiveness at the population level is essential. First line treatment of CLL with FR or FCR was approved in MB in 2009. Prior to this, approval for R based regimens required a non-formulary request. This was a MODUCO initiative to determine effectiveness and cost of R based therapy for CLL in MB, prior to formulary approval of R as part of first line treatment. Methods: Using the PODP database all patients in MB with CLL (and SLL) who received any form of R based therapy between January 14, 2003 and December 14, 2007 were identified. Using this cohort, treatment with R based regimens up until March 14, 2011 was analyzed with follow up until August 1, 2012. Treatment with R for transformed lymphoma was excluded. The primary outcome measure of Treatment Free Survival (TFS) was defined as the interval from initiation of R to next treatment or death. Patients were censored if alive without further treatment at the date of last follow up. The following factors were analyzed for impact on TFS: age, gender, treatment line (greater than or equal to 1), R treatment line (greater than or equal to 1), regimen, treatment indication (symptomatic disease, lymphocyte doubling time (DT), autoimmune cytopenias, or stage 3/4 disease) and response (No /Yes). Response was defined as improvement in peripheral blood counts or reduction in lymphadenopathy and/or organomegaly. Exact dose of R received during each treatment was recorded for cost analysis. Results: Between 2003–2007 R based therapy was administered for the first time to 86 patients (57 males) with mean age 65.1 years. Median number of prior treatments was 3 (range 1–9). Second time treatment with R was given to 40 patients (46.5%) while 12 (14%) received R on three or more occasions during the follow up period. Overall response was seen in 72.4%. The median time to next treatment or death (TFS) was 1.28 years (95% CI 1.01–1.64) with 50 deaths. Factors contributing to shorter TFS based on univariate analysis were (a) lack of response (p<0.0001), (b) 2nd or 3rd time R administration (p 0.04 and 0.0002), and (c) use of RCVP or RCHOP (p <0.02) or other regimens (p <0.001) compared to the reference (FR/FCR). Multivariate analysis revealed that treatment initiation due to DT, compared to all other indications, was associated with decreased rate of retreatment or death (HR 0.36, 95% CI 0.17–0.73). As seen in Figure 1, patients receiving R for the third time (or greater) had shorter median TFS (HR 2.54, 95% CI 1.48–4.36). Regimens other than FR, FCR, RCVP, RCHOP and RCD had increased risk of needing alternative treatment or dying (HR 1.82, 95% CI 1.08–3.06). Mean cost of R per regimen was $12,999.91. The total cost of R for this cohort was $1.87 million. Cost of R when used for the third time or greater was $410,698. Conclusion: This population-based retrospective analysis of cost and effectiveness of R, prior to formulary inclusion for CLL, reveals that patients derive maximum benefit with 1st and 2nd administration of R. These patients had refractory or relapsed disease with multiple prior treatments, yet a high proportion responded to treatment confirming the utility of R for salvage therapy. Duration of response is an important consideration in cost-effectiveness, with the MODUCO experience suggesting that effectiveness diminishes with non-standard regimens and greater than 2 previous R containing regimens. Improving patient access to treatments in health care systems that are publically funded means balancing cost with effectiveness in the population. Disclosures: Kumar: Celgene: Membership on an entity's Board of Directors or advisory committees. Johnston:Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Bourrier:Roche: Grant Funding for Educational Initiatives Other.
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».