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Clinical and imaging biomarkers for predicting Parkinson's disease progression

Development of precision medicine system based on clinical and imaging biomarkers predicting Parkinson’s disease progression

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0005552
Enrollment
1000
Registered
2020-10-29
Start date
2017-07-11
Completion date
Unknown
Last updated
2020-11-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

The Catholic University of Korea, Seoul St. Mary's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with Parkinson's disease and atypical Parkinson's disease who consented to the follow-up of this study.

Exclusion criteria

Exclusion criteria: Those who disagree with this study.

Design outcomes

Primary

MeasureTime frame
Worsening of motor symptoms in Parkinsonism (Unified Parkinson's disease rating scale, modified Hoehn & Yahr scalr, Wearing off questionnaire);Worsening of nonmotor symptoms in Parkinsonism (questionnaire)—

Secondary

MeasureTime frame
Smell identification test;Head-up tilt test;Autonomic function tests;Neuropsychological test;Myocardial MIBG scintigraphy;Brain magnetic resonance imaging;Single photon emission comuted tomography;Dopamine transporter positron emission tomography;Amyloid positron emission tomography;Polysomnography;colon transit time;Postvoid residual urine sonography;Sarcopenia test—

Countries

Korea, Republic of

Contacts

Public ContactJoong-Seok Kim

The Catholic University of Korea, Seoul St. Mary's Hospital

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026