-
Something wrong with this record ?
Methodology and results of real-world cost-effectiveness of carfilzomib in combination with lenalidomide and dexamethasone in relapsed multiple myeloma using registry data
M. Campioni, I. Agirrezabal, R. Hajek, J. Minarik, L. Pour, I. Spicka, S. Gonzalez-McQuire, P. Jandova, V. Maisnar,
Language English Country Germany
Document type Journal Article, Randomized Controlled Trial
NLK
ProQuest Central
from 2001 to 1 year ago
Medline Complete (EBSCOhost)
from 2002-03-01 to 1 year ago
Health & Medicine (ProQuest)
from 2001 to 1 year ago
Health Management Database (ProQuest)
from 2001 to 1 year ago
Public Health Database (ProQuest)
from 2001 to 1 year ago
- MeSH
- Cost-Benefit Analysis * MeSH
- Dexamethasone pharmacology MeSH
- Quality-Adjusted Life Years MeSH
- Lenalidomide pharmacology MeSH
- Humans MeSH
- Neoplasm Recurrence, Local drug therapy etiology MeSH
- Multiple Myeloma drug therapy etiology mortality MeSH
- Drug Costs MeSH
- Oligopeptides pharmacology MeSH
- Disease-Free Survival MeSH
- Antineoplastic Combined Chemotherapy Protocols MeSH
- Registries MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Randomized Controlled Trial MeSH
- Geographicals
- Czech Republic MeSH
OBJECTIVE: To predict the real-world (RW) cost-effectiveness of carfilzomib in combination with lenalidomide and dexamethasone (KRd) versus lenalidomide and dexamethasone (Rd) in relapsed multiple myeloma (MM) patients after one to three prior therapies. METHODS: A partitioned survival model that included three health states (progression-free, progressed disease and death) was built. Progression-free survival (PFS), overall survival (OS) and time to discontinuation (TTD) data for the Rd arm were derived using the Registry of Monoclonal Gammopathies in the Czech Republic; the relative treatment effects of KRd versus Rd were estimated from the phase 3, randomised, ASPIRE trial, and were used to predict PFS, OS and TTD for KRd. The model was developed from the payer perspective and included drug costs, administration costs, monitoring costs, palliative care costs and adverse-event related costs collected from Czech sources. RESULTS: The base case incremental cost effectiveness ratio for KRd compared with Rd was €73,156 per quality-adjusted life year (QALY) gained. Patients on KRd incurred costs of €117,534 over their lifetime compared with €53,165 for patients on Rd. The QALYs gained were 2.63 and 1.75 for patients on KRd and Rd, respectively. CONCLUSIONS: Combining the strengths of randomised controlled trials and observational databases in cost-effectiveness models can generate policy-relevant results to allow well-informed decision-making. The current model showed that KRd is likely to be cost-effective versus Rd in the RW and, therefore, the reimbursement of KRd represents an efficient allocation of resources within the healthcare system.
Amgen s r o Prague Czech Republic
Economic Modeling Center of Excellence Global Health Economics Amgen GmbH Zug Switzerland
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc20028433
- 003
- CZ-PrNML
- 005
- 20210114153840.0
- 007
- ta
- 008
- 210105s2020 gw f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/s10198-019-01122-6 $2 doi
- 035 __
- $a (PubMed)31673898
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a gw
- 100 1_
- $a Campioni, M $u Economic Modeling Center of Excellence, Global Health Economics, Amgen (Europe) GmbH, Zug, Switzerland. campioni@amgen.com.
- 245 10
- $a Methodology and results of real-world cost-effectiveness of carfilzomib in combination with lenalidomide and dexamethasone in relapsed multiple myeloma using registry data / $c M. Campioni, I. Agirrezabal, R. Hajek, J. Minarik, L. Pour, I. Spicka, S. Gonzalez-McQuire, P. Jandova, V. Maisnar,
- 520 9_
- $a OBJECTIVE: To predict the real-world (RW) cost-effectiveness of carfilzomib in combination with lenalidomide and dexamethasone (KRd) versus lenalidomide and dexamethasone (Rd) in relapsed multiple myeloma (MM) patients after one to three prior therapies. METHODS: A partitioned survival model that included three health states (progression-free, progressed disease and death) was built. Progression-free survival (PFS), overall survival (OS) and time to discontinuation (TTD) data for the Rd arm were derived using the Registry of Monoclonal Gammopathies in the Czech Republic; the relative treatment effects of KRd versus Rd were estimated from the phase 3, randomised, ASPIRE trial, and were used to predict PFS, OS and TTD for KRd. The model was developed from the payer perspective and included drug costs, administration costs, monitoring costs, palliative care costs and adverse-event related costs collected from Czech sources. RESULTS: The base case incremental cost effectiveness ratio for KRd compared with Rd was €73,156 per quality-adjusted life year (QALY) gained. Patients on KRd incurred costs of €117,534 over their lifetime compared with €53,165 for patients on Rd. The QALYs gained were 2.63 and 1.75 for patients on KRd and Rd, respectively. CONCLUSIONS: Combining the strengths of randomised controlled trials and observational databases in cost-effectiveness models can generate policy-relevant results to allow well-informed decision-making. The current model showed that KRd is likely to be cost-effective versus Rd in the RW and, therefore, the reimbursement of KRd represents an efficient allocation of resources within the healthcare system.
- 650 _2
- $a protokoly protinádorové kombinované chemoterapie $7 D000971
- 650 12
- $a analýza nákladů a výnosů $7 D003362
- 650 _2
- $a dexamethason $x farmakologie $7 D003907
- 650 _2
- $a přežití bez známek nemoci $7 D018572
- 650 _2
- $a náklady na léky $7 D016527
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a lenalidomid $x farmakologie $7 D000077269
- 650 _2
- $a mnohočetný myelom $x farmakoterapie $x etiologie $x mortalita $7 D009101
- 650 _2
- $a lokální recidiva nádoru $x farmakoterapie $x etiologie $7 D009364
- 650 _2
- $a oligopeptidy $x farmakologie $7 D009842
- 650 _2
- $a kvalitativně upravené roky života $7 D019057
- 650 _2
- $a registrace $7 D012042
- 651 _2
- $a Česká republika $7 D018153
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a randomizované kontrolované studie $7 D016449
- 700 1_
- $a Agirrezabal, I $u Economic Modeling Center of Excellence, Global Health Economics, Amgen (Europe) GmbH, Zug, Switzerland.
- 700 1_
- $a Hajek, R $u Department of Haematooncology, University Hospital Ostrava and Faculty of Medicine, University of Ostrava, 17. listopadu 1790, 708 52, Ostrava, Czech Republic.
- 700 1_
- $a Minarik, J $u Department of Hemato-Oncology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, I. P. Pavlova 185/6, 779 00, Olomouc, Czech Republic.
- 700 1_
- $a Pour, L $u Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Faculty of Medicine Masaryk Universit, Jihlavská 340/20, 625 00, Brno, Czech Republic.
- 700 1_
- $a Spicka, I $u Department of Internal Medicine, Charles University in Prague, First Faculty of Medicine and General Teaching Hospital, Katerinska 32, 121 08, Prague, Czech Republic.
- 700 1_
- $a Gonzalez-McQuire, S $u Global Health Economics, Amgen (Europe) GmbH, Zug, Switzerland.
- 700 1_
- $a Jandova, P $u Amgen s.r.o, Prague, Czech Republic.
- 700 1_
- $a Maisnar, V $u Department of Internal Medicine, Charles University in Prague, First Faculty of Medicine and General Teaching Hospital, Katerinska 32, 121 08, Prague, Czech Republic.
- 773 0_
- $w MED00007432 $t The European journal of health economics : HEPAC : health economics in prevention and care $x 1618-7601 $g Roč. 21, č. 2 (2020), s. 219-233
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31673898 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20210105 $b ABA008
- 991 __
- $a 20210114153837 $b ABA008
- 999 __
- $a ok $b bmc $g 1608768 $s 1119613
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2020 $b 21 $c 2 $d 219-233 $e 20191031 $i 1618-7601 $m The European journal of health economics $n Eur J Health Econ $x MED00007432
- LZP __
- $a Pubmed-20210105