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Long-Term Effectiveness and Cost Effectiveness of Multiple Myeloma Treatment Strategies for Elderly Transplant-Ineligible Patients in Serbia Cover

Long-Term Effectiveness and Cost Effectiveness of Multiple Myeloma Treatment Strategies for Elderly Transplant-Ineligible Patients in Serbia

Open Access
|Apr 2020

Figures & Tables

Table 1

Evaluated treatment sequences.

Treatment sequences
First-line Tx; Data sourceSecond-line Tx; Probability of switching protocol; Data sourceThird-line Tx Probability of switching protocol; Data sourcePalliative Tx; Data source
MPT (19)1. VCD, 20% of cases (20)1. RD, 30% (22)CP (24, 25)
2. VD, 70% (21)2. BTP, 40% (23)
3. RD, 10% (22)3. Chemo, 30% *
MPV (26)1. CTD, 90% (27)1. RD, 30% (22)CP (24, 25)
2. RD, 10% (22)2. BTP, 40% (23)
3. Chemo, 30% *
CTD (28)1. MPV, 30% (29)1. RD, 30% (22)CP (24, 25)
2. VD, 60% (21)2. BTP, 40%
3. RD, 10% (22)3. Chemo, 30%*
VCD (30)1. MPT (31)1. RD, 30% (22)CP (24, 25)
2. RD, 10% (22)2. BTP, 40% (23)
3. Chemo, 30% *
BP (32)1. RD, 100% (22)1. BTP, 50% (23)CP (24, 25)
2. Chemo, 50% *

Legend: B-bendamustine; C-cyclophosphamide; Chemo-standard chemotherapy; D-dexamethasone; M-melphalan; P-prednisone; R-lenalidomide; T-thalidomide; Tx-treatment; V-bortezomib;

* Chemotherapy included the following protocols: DCEP (dexamethasone, cyclophosphamide, etoposide, cisplatin) (33, 34), DT-PACE (dexamethasone, thalidomide, cisplatin, doxorubicin, cyclophosphamide, etoposide) (35, 36).

Patients switched from first-line treatment to different second- and third-line treatment options. The proportion of patients that switched to each particular protocol is presented in Table 1 (%). Data sources are referenced in parentheses.

Figure 1

Markov health states and state-to-state transitions. Legend: MT, maintenance treatment; Numbers 1, 2, and 3 indicate the treatment line.

Table 2

Discounted base-case analysis results.

StrategyCost (€)Life expectancy (LYs)ICER (€/LYG)
Starting with MPT116,5003.70-
Starting with CTD123,4003.41Dom
Starting with VCD126,7003.9935,300
Starting with MPV163,3004.7647,200
Starting with BP373,4003.98Dom

[i] Legend: BP, bendamustine, prednisone; CTD, cyclophosphamide, thalidomide, dexamethasone; Dom, dominated, ICER, incremental cost-effectiveness ratio; LY(s), life year(s); LYG, life year gained; MPT, melphalan, prednisone, thalidomide; MPV, melphalan, prednisone, bortezomib; VCD, bortezomib, cyclophosphamide, dexamethasone; €, euro.

Table 3

Variation of annual discount rates.

Discount rate1.5% for effectiveness; 3% for costs5% for effectiveness and costs
StrategyCost (€)Life expectancy (LYs)ICER (€/LYG)Cost (€)Life expectancy (LYs)ICER (€/LYG)
Starting with MPT116,5003.85-110,5003.51-
Starting with CTD123,4003.53Dom117,9003.25Dom
Starting with VCD126,7004.1632,500121,8003.7743,800
Starting with MPV163,3005.0143,100156,1004.4749,600
Starting with BP373,4004.15Dom351,8003.77Dom

[i] Legend: BP, bendamustine, prednisone; CTD, cyclophosphamide, thalidomide, dexamethasone; Dom, dominated; Ext Dom, extended dominated; ICER, incremental cost-effectiveness ratio; LY(s), life year(s); LYG, life year gained; MPT, melphalan, prednisone, thalidomide; MPV, melphalan, prednisone, bortezomib; VCD, bortezomib, cyclophosphamide, dexamethasone; €, euro

Figure 2

Sensitivity analysis - Cost-effectiveness plane. Sequences defined by the combinations of first- and second-line treatment. The thick line is the cost-effectiveness frontier.

Legend: BP, bendamustine, prednisone; CTD, cyclophosphamide, thalidomide, dexamethasone; ICER, incremental cost-effectiveness ratio; LY(s), life year(s); MPT, melphalan, prednisone, thalidomide; MPV, melphalan, prednisone, bortezomib; RD, lenalidomide, dexamethasone; VCD, bortezomib, cyclophosphamide, dexamethasone; VD, bortezomib, dexamethasone; €, euro.

Table 4

Sensitivity analysis results – varying probability of switching to the lenalidomide-based treatment options.

StrategyWithout RD optionsProbability of switching to RD increased by 20%Probability of switching to RD increased by 50%Probability of switching to RD increased by 100% (i.e., doubled)
Cost (€)Life expect-ancy (LYs)ICER (€/LYG)Cost (€)Life expectancy (LYs)ICER (€/LYG)Cost (€)Life expectancy (LYs)ICER (€/LYG)Cost (€)Life expectancy (LYs)ICER (€/LYG)
Starting with MPT73,0003.63-124,7003.71-137,4003.73-160,3003.77-
Starting with CTD76,9003.29Dom132,8003.43Dom147,3003.47Dom174,2003.54Dom
Starting with VCD82,8003.8936,900136,4004.0039,800151,4004.0346,500178,8004.09Ext Dom
Starting with MPV112,9004.6838,000174,1004.7748,700190,6004.8051,000220,2004.8455,800
Starting with BP*373,4003.98Dom373,4003.98Dom373,4003.98Dom373,4003.98Dom

Legend: BP, bendamustine, prednisone; CTD, cyclophosphamide, thalidomide, dexamethasone; Dom, dominated; ICER, incremental cost-effectiveness ratio; LY(s), life year(s); LYG, life year gained; MPT, melphalan, prednisone, thalidomide; MPV, melphalan, prednisone, bortezomib; VCD, bortezomib, cyclophosphamide, dexamethasone; €, euro

* BP had a 100% probability of switching to lenalidomide-based treatment in the base-case analysis; thus the results remained the same.

Table 5

Sensitivity analysis – ranking of the sequences when excluding the third-line chemotherapy.

StrategyCost (€)Life expectancy (LYs)ICER (€/LYG)
Starting with MPT210,2004.40-
Starting with CTD223,1004.16Dom
Starting with VCD251,1004.92Ext Dom
Starting with MPV266,0005.5355,800
Starting with BP390,2004.92Dom

[i] Legend: BP, bendamustine, prednisone; CTD, cyclophosphamide, thalidomide, dexamethasone; Dom, dominated; Ext Dom, extended dominated; ICER, incremental cost-effectiveness ratio; LY(s), life year(s); MPT, melphalan, prednisone, thalidomide; MPV, melphalan, prednisone, bortezomib; VCD, bortezomib, cyclophosphamide, dexamethasone; €, euro.

DOI: https://doi.org/10.2478/sjph-2020-0011 | Journal eISSN: 1854-2476 | Journal ISSN: 0351-0026
Language: English, Slovenian
Page range: 83 - 91
Submitted on: Sep 2, 2019
Accepted on: Feb 13, 2020
Published on: Apr 6, 2020
Published by: National Institute of Public Health, Slovenia
In partnership with: Paradigm Publishing Services

© 2020 Đurđa Vukićević, Ursula Rochau, Aleksandar Savić, Monika Schaffner, Milica Jevđević, Igor Stojkov, Gaby Sroczynski, Wolfgang Willenbacher, Beate Jahn, Uwe Siebert, published by National Institute of Public Health, Slovenia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.