Cost-effectiveness of biosimilar ranibizumab versus originator ranibizumab for neovascular age-related macular degeneration in the Republic of Korea

Abstract Neovascular age-related macular degeneration (nAMD) requires long-term anti-VEGF therapy that imposes substantial direct payer costs. LucenBS (CKD-701), the first domestic ranibizumab biosimilar in Korea, was listed under the 2024 HIRA tariff at 149,895 KRW per vial, a 74% discount versus originator ranibizumab (Lucentis; 576,879 KRW). We built a 5-state Markov cohort model stratified by best-corrected visual acuity over a 10-year horizon from the Korean payer perspective, applying identical transition probabilities, utilities and injection frequencies to both arms based on the pivotal phase 3 equivalence trial. Because efficacy was assumed equivalent, the incremental comparison is effectively a cost-minimization on discounted, survival-weighted injection exposure multiplied by the price differential; the Markov structure provided absolute costs, quality-adjusted life-years (QALYs) and threshold analyses. Costs and QALYs were discounted at 4.5% per year (1 USD = 1350 KRW). Switching from originator to biosimilar saved $8953 per patient (from $26,095 to $17,142; $8.95 million per 1000 patients) with identical 4.7223 QALYs, making the biosimilar cost-minimizing. Probabilistic analysis showed 100% probability of cost saving. The biosimilar would remain cost-effective unless its effectiveness were at least 0.24 QALYs (about 5%) lower over 10 years. The result is driven by price, not by any clinical difference.

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Publication Details

Journal
Scientific Reports
Published
2026-09-10
DOI
https://doi.org/10.1038/s41598-026-68460-3
Primary Topic
Biosimilars and Bioanalytical Methods
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article
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article

Cost-effectiveness of biosimilar ranibizumab versus originator ranibizumab for neovascular age-related macular degeneration in the Republic of Korea

Donghyun Jee, Jiwon Baek, Sean Hyungwoo Kim, Sung Pyo Park et al.
Scientific Reports
Biosimilars and Bioanalytical Methods
article

Cost-effectiveness of biosimilar ranibizumab versus originator ranibizumab for neovascular age-related macular degeneration in the Republic of Korea

Donghyun Jee, Jiwon Baek, Sean Hyungwoo Kim, Sung Pyo Park, Doh-Hoon Chung
article en

Abstract

Abstract Neovascular age-related macular degeneration (nAMD) requires long-term anti-VEGF therapy that imposes substantial direct payer costs. LucenBS (CKD-701), the first domestic ranibizumab biosimilar in Korea, was listed under the 2024 HIRA tariff at 149,895 KRW per vial, a 74% discount versus originator ranibizumab (Lucentis; 576,879 KRW). We built a 5-state Markov cohort model stratified by best-corrected visual acuity over a 10-year horizon from the Korean payer perspective, applying identical transition probabilities, utilities and injection frequencies to both arms based on the pivotal phase 3 equivalence trial. Because efficacy was assumed equivalent, the incremental comparison is effectively a cost-minimization on discounted, survival-weighted injection exposure multiplied by the price differential; the Markov structure provided absolute costs, quality-adjusted life-years (QALYs) and threshold analyses. Costs and QALYs were discounted at 4.5% per year (1 USD = 1350 KRW). Switching from originator to biosimilar saved $8953 per patient (from $26,095 to $17,142; $8.95 million per 1000 patients) with identical 4.7223 QALYs, making the biosimilar cost-minimizing. Probabilistic analysis showed 100% probability of cost saving. The biosimilar would remain cost-effective unless its effectiveness were at least 0.24 QALYs (about 5%) lower over 10 years. The result is driven by price, not by any clinical difference.

Scientific Reports
Hallym University (KR), Shenandoah University (US), The Catholic University of Korea St. Vincent's Hospital (KR), The Catholic University of Korea Bucheon St. Mary's Hospital (KR), Kangdong Sacred Heart Hospital (KR), Jungwon University (KR), Catholic University of Korea (KR)
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Openalex Percentile: Top 17%
Biosimilars and Bioanalytical Methods
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