| Literature DB >> 36164576 |
Wedad H Alotaibi1, Majd M Alhamdan1, Bander Balkhi2,3.
Abstract
Background: The main aim of this study was to investigate the cost-effectiveness of Ribociclib in the treatment of patients with breast cancer by assessing the published evidence. Method: A systematic review of the published literature was conducted to identify the economic evaluations/cost-effectiveness study of Ribociclib. In this study, several databases were inspected, including PubMed, NHS Economic Evaluation, Cochran, and Scopus. Studies were eligible if they assessed the cost-effectiveness of Ribociclib and reported incremental cost-effectiveness ratio (ICER). The study was performed and conducted following the PRISMA reporting guidelines.Entities:
Keywords: Breast cancer; CDK4/6 inhibitors; Cost-effectiveness; Economics evaluation; Ribociclib; Systematic review
Year: 2022 PMID: 36164576 PMCID: PMC9508637 DOI: 10.1016/j.jsps.2022.06.002
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.562
Fig. 1Process of the systematic literature search, according to the preferred reporting items for systematic review and meta-analyses.
Description of each study analyzed in the review.
| Author/ year of publication (ref.) | Year of study | Country | Treatment | Comparator(s) | Population | Cycle | Time horizon |
|---|---|---|---|---|---|---|---|
| Jiangping Yang et al, 2020.[11] | 2018 | USA. | RIB (600 mg/day) + FUL. | Placebo + FUL. | Women with HR+/HER2- ABC. | 4 weeks. | 10 years. |
| Rohit Mistry et al, 2018.[12] | 2018 | USA. | RIB (600 mg/day) + LET. | PAL + LET and LET alone. | Women with HR+/HER2- ABC or MBC. | 4 weeks. | 40-year. |
| Bingnan Zhang et al, 2019.[13] | 2018 | USA. | RIB (600 mg/day) + LET. | LET alone. | Women with HR+/HER2- ABC or MBC. | 4 weeks. | Lifetime. |
| Gaurav Suri et al, 2019.[14] | 2019 | UK. | RIB (600 mg/day) + LET. | PAL + LET. | Women with HR+/HER2- ABC. | 4 weeks. | 40 years. |
| Lydia Loke et al, 2020.[15] | 2020 | Singapore. | RIB (600 mg/day) + ET. | ET alone. | Women with HR+/HER2- ABC. | 4 weeks. | 10 years. |
| Elena galve-Calvo et al, 2018.[16] | 2018 | Spain. | RIB (600 mg/day) + LET. | PAL + LET. | Women with HR+/HER2- ABC or MBC. | 4 weeks. | 15 years. |
| XiaoMin Wan et al, 2019.[17] | 2018 | China and Beijing city. | RIB (600 mg/day) + LET. | LET alone. | Women with HR+/HER2- ABC. | 4 weeks. | Lifetime. |
| Xiaoting Huang, 2020.[18] | 2021 | USA, China. | RIB (600 mg/day) + ET. | ET alone. | Women with HR+/HER2- ABC. | 4 weeks. | Lifetime. |
RIB = Ribociclib; LET = Letrozole; ET = Endocrine therapies; FUL = Fulvestrant; PAL = Palbociclib; ABC = Advanced breast cancer; MBC = Metastatic breast cancer; CEA = Cost-effectiveness analysis; QALYs = Quality-adjusted life years; LYs = Life years; PFS = Progression-free survival; PD = Progressed-disease; PF = Progression-free; EQ-5D-5L = EuroQol 5-dimension 5-level; SG = Standard gamble; DSA = Deterministic sensitivity analysis; PSA = Probabilistic sensitivity analysis.
Economic evaluation of the studies.
| Author/ year of publication (ref.) | Total QALY | ICER | Threshold (per QALY) | Result |
|---|---|---|---|---|
| Jiangping Yang et al, 2020.[11] | 2.17 QALYs. | $813,132/QALY. | $150,000/QALY. | Not CE. |
| Rohit Mistry et al, 2018.[12] | 3.07 QALYs, 2.99 QALYs. | $210,369/QALY, Dominant. | Above $198,000/QALY. | CE. |
| Bingnan Zhang et al, 2019.[13] | 2.94 QALYs. | $440,000/QALY. | $100,000/QALY. | Not CE. |
| Gaurav Suri et al, 2019.[14] | 3.296 QALYs. | Dominant. | £30 000/QALY. | CE. |
| Lydia Loke et al, 2020.[15] | 3.4386 QALYs. | SGD $197,667/QALY. | Below SGD $198,000/QALY. | Not CE. |
| Elena galve-Calvo et al, 2018.[16] | 3.313 QALYs. | €1,543.62/QALY. | €20,000 to €30,000/QALY. | CE. |
| XiaoMin Wan et al, 2019.[17] | 2.293 QALYs. | $24,126/QALY, $53,071/QALY. | $24,360/QALY, $53,384/QALY. | CE. |
| Xiaoting Huang, 2020.[18] | 6.37 QALYs. | $61,454.96/QALY. | $150,000/QALY. | Not CE. |
CHEERS checklist results.
| Author/ year of publication (ref.) | CHEERS checklist results (%) |
|---|---|
| Jiangping Yang et al, 2020.[11] | 23 (95.83%) |
| Rohit Mistry et al, 2018.[12] | 22 (91.67%) |
| Bingnan Zhang et al, 2019.[13] | 22 (91.67%) |
| Gaurav Suri et al, 2019.[14] | 20 (83.33%) |
| Lydia Loke et al, 2020.[15] | 24 (100%) |
| Elena galve-Calvo et al, 2018.[16] | 22 (91.67%) |
| XiaoMin Wan et al, 2019.[17] | 23 (95.83%) |
| Xiaoting Huang, 2020.[18] | 24 (100%) |