| Unique ID issued by UMIN | UMIN000053721 |
|---|---|
| Receipt number | R000061259 |
| Scientific Title | Economic effects simulation based on a questionnaire survey of Alzheimer's disease test in adults |
| Date of disclosure of the study information | 2024/03/08 |
| Last modified on | 2025/09/29 10:21:33 |
Survey study on Alzheimer's disease in adults
Survey study on Alzheimer's disease in adults
Economic effects simulation based on a questionnaire survey of Alzheimer's disease test in adults
Economic effects simulation based on a questionnaire survey of Alzheimer's disease test in adults
| Japan |
Alzheimer's disease
| Neurology |
Others
NO
In this study, simulations to estimate the number of tests, number of patients, and average access waiting time when blood-based biomarker tests were incorporated into medical treatment compared to existing tests for Alzheimer's disease, based on information from a questionnaire survey.
Others
Economic evaluation
Number of tests, number of patients, and average access waiting time simulated from a questionnaire survey information
Observational
| Not applicable |
| Not applicable |
Male and Female
This study is a simulation based on publicly known information and information from a questionnaire survey within this study, and there are no standards for subjects or eligibility.
The selection criteria for the questionnaire survey are as follows.
1. Those who agree to participate in the research of their own free will
2. Those who are 18 years of age or older at the time of obtaining consent
3. Those who can personally respond to a web-based survey
This study is a simulation based on publicly known information and information from a questionnaire survey within this study, and there are no standards for subjects or eligibility.
The exclusion criteria for the questionnaire survey are as follows.
1. Those who have been diagnosed with dementia (cerebrovascular, Alzheimer's type, etc.) or mild cognitive impairment (MCI) in the past.
3000
| 1st name | Noriyuki |
| Middle name | |
| Last name | Kimura |
Oita University
Department of Neurology, Faculty of Medicine Oita University
879-5593
1-1, Idaigaoka, Hasama-mach, Yufu, Oita 879-5593, Japan
097(586)5814
noriyuki@oita-u.ac.jp
| 1st name | Temmei |
| Middle name | |
| Last name | Ito |
Eisai Co., Ltd.
Global AD
112-8088
4-6-10 Koishikawa, Bunkyo-ku, Tokyo 112-8088, Japan
070-2468-2164
t13-ito@hhc.eisai.co.jp
Eisai Co., Ltd.
Eisai Co., Ltd.
Self funding
Eisai Research Ethics Review Committee
5-1-3 Tokodai, Tsukuba, Ibaraki 300-2635
+81-70-2474-2971
m-kogushi@hhc.eisai.co.jp
NO
| 2024 | Year | 03 | Month | 08 | Day |
N/A
Published
https://alz.confex.com/alz/2025/meetingapp.cgi/Paper/102553
3302
Based on the results of simulations derived from the questionnaire survey, under the current diagnostic flow, the number of individuals diagnosed as positive by general practitioners based on cognitive assessment and subsequently visiting specialists was estimated to be 980,218. The maximum mean wait time for specialist consultation was estimated to be 6.4 months. The estimated number of treatment-eligible patients by year was 14,554 in 2023 (from December 20), 183,376 in 2024, and 32,301 in 2025.
| 2025 | Year | 09 | Month | 29 | Day |
Among the 3,302 respondents to the questionnaire survey, the distribution by gender and age group was as follows: For men, 20.0% were aged 50-59, 18.5% were aged 60-69, and 10.5% were aged 70-74. For women, 20.0% were aged 50-59, 19.3% were aged 60-69, and 11.6% were aged 70-74.
The survey participants were randomly selected from the research company's panel. Questionnaires were distributed to eligible panel members based on inclusion and exclusion criteria, and responses were collected from each demographic group until the target number for each group was reached.
N/A
The number of patients visiting specialists for testing, the average wait time, and the number of treatment-eligible patients, estimated by simulations using questionnaire data.
Completed
| 2024 | Year | 02 | Month | 01 | Day |
| 2024 | Year | 02 | Month | 09 | Day |
| 2024 | Year | 03 | Month | 08 | Day |
| 2024 | Year | 03 | Month | 21 | Day |
In this study, simulations to estimate the number of tests, number of patients, and average access waiting time when blood-based biomarker tests were incorporated into medical treatment compared to existing tests for Alzheimer's disease, based on information from a questionnaire survey.
The items of the survey include the amount of copayments for tests, types of tests, waiting time, and side effects. The target population will be registered members of the general panel (18-74 years old).
| 2024 | Year | 02 | Month | 27 | Day |
| 2025 | Year | 09 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000061259