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| ID | Type | Description | Link |
|---|---|---|---|
| GCE 3300160003 | Other Identifier | Center of Excellence grant of Chulalongkorn, Thailand. |
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According to Parkinson's Disease Medical Center of Excellence's project which was registered Parkinson's disease patients in 2008-2011, it was found that there were more than 60,000 people with Parkinson's disease in Thailand, approximately 1 over 3 of all elderly people.
It is estimated that the prevalence of Parkinson's disease is approximately 242.57 per 100,000 people of all elderly people, and it is likely to increase due to the current situation of Thailand which is entering aging society. The current diagnosis of Parkinson's disease still relies heavily on medical history and physical examination. The accuracy of diagnosing Parkinson's disease by neurologists is approximately 80 percent, especially when they have been following up consistently. Nonetheless, if they have Parkinson's disease in the early stages, the signs and symptoms will not be severe. Therefore, diagnostic accuracy will decrease around 40-50 percent, making it difficult to diagnose Parkinson's disease patients at an early stage and as a consequence, there still are many undiagnosed patients in 2022. Consequently, Parkinson's Disease Medical Center of Excellence is planning to establish this pilot research project to develop and analyze advanced data of the screening system for people at risk and precursor symptoms to Parkinson's disease, Chulalongkorn Hospital, Thai Red Cross Society. Dividing patients into 3 groups, those who have precursor symptoms, who are at risk of developing disease and Parkinson's disease patients, using the digital platform on mobile application that includes general information, health information, congenital diseases, regularly used medications, initial abnormal symptoms, various risk factors, writing and handwriting, pronunciation assessments, and get diagnosis from experts for referral in the public health system.
The Screening of Parkinson's patients with digital technology and sensors and analyze with artificial intelligence the following information
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| Measure | Description | Time Frame |
|---|---|---|
| Digital platform system; Motor and non-motor symptom of Parkinson' s disease questionnaire, tremor and voice test | a web-based structural software package that speeds and eases transactions among users. Digital platforms serve digital markets, while also offering physical products. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Age | the number of years that someone has lived, or that something has existed | 1 year |
| Early Lifestyle interventions Eat Move Sleep | Early detection, especially for early PD, prodromal PD, and individuals at risk for PD. |
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Inclusion Criteria:
Exclusion Criteria:
1. Thai Adult age less than 40 years old
Thai Adult age more than 40year old
- Thai Adult age more than 40year old or have family history of Parkinson's disease
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| Name | Affiliation | Role |
|---|---|---|
| Professor Roongroj Bhidayasiri, M.D. | Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chulalongkorn Center of Excellence for Parkinson's disease and related to movement disorder | Pathum Wan | Bangkok | 10330 | Thailand |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Apr 12, 2023 | Sep 19, 2024 | ICF_000.pdf |
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| 1 year |
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |