Efficacy of Carfilzomib in the Treatment of Relapsed and (or) Refractory Multiple myeloma: a Meta Analysis of Individual Patient Data from Clinical Trials
Notice bibliographique
Résumé
Abstract Multiple myeloma (MM) is a plasma cell malignancy that accounts for approximately 10% of all hematological cancer. Although over the last few decades significant improvement in outcomes has been observed in MM patients, the prognosis of MM remains unfavorable. Existing agents, including the proteasome inhibitor bortezomib and the immunomodulatory agents thalidomide and lenalidomide, have improved outcomes in patients with RRMM greatly. However MM still remains incurable and continuing treatment escalates in complexity while presenting a special therapeutic challenge for patients who these agents have failed. Carfilzomib, a proteasome inhibitor, was approval in 2012 in the United States for RRMM based on efficacy results. Recently, carfilzomib has become a promising therapeutic approach for relapsed and (or) refractory multiple myeloma (RRMM), but no study has summarized the overall effect of carfilzomib in RRMM. To explore the role of carfilzomib, we performed a meta analysis of all known prospective clinical trials to assess the efficacy of carfilzomib in patients with RRMM. Methods and Materials: A systematic review of publications in the PubMed, Embase, the Cochrane Library and ISI Web of knowledge was performed on September 15, 2015 according to the Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) guidelines. Accounting for some of the inter-study variation, the random-effects model was chosen for the entire study to increase power and precision regardless of heterogeneity. All statistical analyses were conducted by using the STATA software. Meta analyses were carried out to calculate the overall response rate (ORR), complete response rate (CRR) and clinical benefit rate (CBR) of carfilzomib for RRMM. Results: Seven single-arm pilot studies and one randomized controlled trial (RCT) were included. Eight prospective studies enrolled a total of 1,446 patients with 1,000 evaluable patients. The overall quality of the seven single-arm pilot studies was moderate according to Newcastle-Ottawa scale. In the only randomized controlled trial including 792 patients, 396 patients were treated by carfilzomib with lethalidomide and dexamethasome. The quality of this study was adequate according to Cochrane tool for assessment of bias. In patients with RRMM, ORR was 0.44, CRR was 0.13 and CBR was 0.54. High heterogeneity between studies was observed, and funnel plots was symmetrical, negating publication bias. he safety of carfizomib was deemed good and no long-term complications were reported. In the eight prospective studies selected for this analysis, common adverse effect (AE) of the patients varied in different studies, including fatigue, nausea, anemia, thrombocytopenia, neutropenia, diarrhea, etc. Conclusion: In this comprehensive meta analysis, we evaluated the efficacy of carfizomib in the treatment of RRMM. Our meta analysis of the eight studies included, our results demonstrate that carfilzomib is a safe, effective and well tolerated treatment in a large, well-characterized group of patients with RRMM. The lack of severe toxicities observed in patients treated with carfilzomib indicates the potential for full doses of carfilzomib to be used for patients with advanced MM. Disclosures No relevant conflicts of interest to declare.
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 | 0,034 | 0,043 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,022 | 0,072 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| 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 ».