Assessing the Cost-Utility of Lecanemab for Early Alzheimer's Disease Treatment and the Need for Real-World Evidence: A Singapore Perspective
Author(s)
Malvin Kang, PhD1, Jia Hao Wong, MPH1, Adrien Gras, BSc, MSc1, Taro Kanzaki, PhD2.
1APAC Healthcare Market Access & HEOR, Ipsos Pte Ltd, Singapore, Singapore, 2Eisai Co., Ltd., Tokyo, Japan.
1APAC Healthcare Market Access & HEOR, Ipsos Pte Ltd, Singapore, Singapore, 2Eisai Co., Ltd., Tokyo, Japan.
OBJECTIVES: To estimate the cost-utility of lecanemab plus standard of care (SoC) versus SoC alone in patients with early Alzheimer’s Disease (AD), specifically those with mild cognitive impairment due to AD or mild AD dementia, confirmed by beta-amyloid pathology from both the healthcare system and broader societal perspectives in Singapore. Additionally, the study identified and evaluated the availability of real-world data (RWD) sources for AD in Singapore for conducting evidence generation studies.
METHODS: A Markov model was developed to project AD progression and assess the lifetime cost-utility of lecanemab plus standard of care (SoC) compared to SoC alone, using data from the Phase III Clarity AD study. The model incorporates unit costs, mortality rates, and natural history data sourced from published literature and validated by local clinicians in Singapore. It also accounts for treatment discontinuation as patients progress to moderate AD or require nursing home care. Costs and benefits are discounted at a rate of 3.0%, and a lifetime horizon is assumed. Additionally, an AI-powered systematic literature review leveraging large language models (LLMs) was conducted on academic publications from 2014 to 2024 in PubMed to identify RWD sources for AD in Singapore.
RESULTS: Treatment with lecanemab was associated with an increase in quality-adjusted life years over the model time horizon as well as incurring incremental costs for both the MCI due to AD and mild AD dementia populations, with the incremental cost-utility ratio less than 1x GDP per capita. Taking a societal perspective reduced the incremental cost-utility ratio (ICUR) for lecanemab plus SoC versus SoC alone. However, Singapore significantly lacks real-world data for AD.
CONCLUSIONS: Lecanemab offers a cost-effective strategy for early AD treatment, delaying disease progression and offering societal benefits. Additional AD RWD would better support the value of AD interventions in Singapore.
METHODS: A Markov model was developed to project AD progression and assess the lifetime cost-utility of lecanemab plus standard of care (SoC) compared to SoC alone, using data from the Phase III Clarity AD study. The model incorporates unit costs, mortality rates, and natural history data sourced from published literature and validated by local clinicians in Singapore. It also accounts for treatment discontinuation as patients progress to moderate AD or require nursing home care. Costs and benefits are discounted at a rate of 3.0%, and a lifetime horizon is assumed. Additionally, an AI-powered systematic literature review leveraging large language models (LLMs) was conducted on academic publications from 2014 to 2024 in PubMed to identify RWD sources for AD in Singapore.
RESULTS: Treatment with lecanemab was associated with an increase in quality-adjusted life years over the model time horizon as well as incurring incremental costs for both the MCI due to AD and mild AD dementia populations, with the incremental cost-utility ratio less than 1x GDP per capita. Taking a societal perspective reduced the incremental cost-utility ratio (ICUR) for lecanemab plus SoC versus SoC alone. However, Singapore significantly lacks real-world data for AD.
CONCLUSIONS: Lecanemab offers a cost-effective strategy for early AD treatment, delaying disease progression and offering societal benefits. Additional AD RWD would better support the value of AD interventions in Singapore.
Conference/Value in Health Info
2025-09, ISPOR Real-World Evidence Summit 2025, Tokyo, Japan
Value in Health Regional, Volume 49S (September 2025)
Code
RWD102
Topic Subcategory
Health & Insurance Records Systems
Disease
SDC: Neurological Disorders