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Smart wearables and blood markers could spot Parkinson's years before symptoms worsen

NCT ID NCT07679256

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jul 01, 2026 · Last updated Jul 02, 2026 · Updated 1 time

Summary

This study aims to find better ways to diagnose Parkinson's disease in its earliest stages. Researchers will use wearable devices to track movement and analyze blood samples for specific markers from nerve cells. By combining these digital and biological clues, they hope to create a model that can identify Parkinson's before typical symptoms become severe. The study includes people with early Parkinson's, those with prodromal signs (like sleep disorders), and healthy volunteers.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could enable earlier detection of Parkinson's disease, potentially allowing treatment to start sooner and slow progression.
What could go wrong
This is an observational study developing a diagnostic model, not a treatment trial. The model may not prove accurate enough for clinical use, and results may not apply to all populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 700 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jan 2024

Expected to finish

Dec 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

This study comprises a combined retrospective and prospective cohort of patients with idiopathic Parkinson's disease (PD), selected from the PD registry database maintained by our team at Fujian Medical University Union Hospital. The study population includes individuals who meet all of the following criteria: (1) diagnosed with idiopathic PD based on the Movement Disorder Society (MDS) clinical diagnostic criteria; (2) Hoehn-Yahr (H-Y) stage ≤ 2.0 during off-medication periods; and (3) Mini-Mental State Examination (MMSE) score \> 24 points. Eligible participants will be identified from the existing database for retrospective data collection, while prospective follow-up data will be collected for the same cohort to enable comprehensive longitudinal analyses.

Ages

40 to 80 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 1\. Healthy Control Group 1. No severe mental illness; 2. Mini-Mental State Examination (MMSE) score \>24 points; 2. Prodromal PD Group <!-- --> 1. Meets the diagnostic criteria for rapid eye movement sleep behavior disorder; 2. Has no severe mental disorders; 3. Mini-Mental State Examination (MMSE) score is greater than 24 points. 3. Early PD Group (1) Diagnosed with idiopathic Parkinson's disease based on the MDS clinical diagnostic criteria ; (3) Hoehn-Yahr (H-Y) stage \<=2.0 during off-medication periods; (4) Mini-Mental State Examination (MMSE) score \>24 points; Exclusion Criteria: 1. Presence of mental, cognitive, or psychological disorders, unable to sign informed consent; 2. Presence of other diseases affecting walking distance, such as lower limb joint lesions, spinal lesions, neurological disorders, or severe cardiopulmonary diseases; 3. Presence of intracranial structural changes, cerebrovascular disease, or other neurological disorders; 4. Presence of tumors, severe liver or kidney dysfunction (indicators exceeding three times the normal value), or other conditions that significantly impact health; 5. Claustrophobia or presence of implants affecting MRI scanning.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

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Contacts and locations

Locations

  • Department of Neurology, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital

    RECRUITING

    Fuzhou, Fujian, 350000, China

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