Which balance test best predicts falls in Parkinson's? a head-to-head comparison

NCT ID NCT07148700

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 09, 2026 · Last updated Jul 10, 2026 · Updated 1 time

Summary

This study compares three different ways to assess fall risk in people with Parkinson's disease: a machine-based balance test, a self-reported confidence questionnaire, and a functional balance exam. Researchers will track falls over six months in 40 participants with mild to moderate Parkinson's. The goal is to determine which tool most accurately predicts who will fall, helping clinicians choose the best assessment method.

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 study could help doctors choose the best tool to predict falls in Parkinson's patients, potentially reducing injuries and improving quality of life.
What could go wrong
This is a small, observational study (40 people) that compares existing tools rather than testing a new treatment. Results may not apply to all Parkinson's patients.

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

40 people

The number who actually took part.

Started

May 2025

Finished

Aug 2025

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

Participants diagnosed with PD by a neurologist and meeting the following criteria

Ages

40 to 80 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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: * Age between 40 and 80 years old * Receiving stable dopaminergic treatment * No other neurological disorders besides PD * A Standardized Mini-Mental State Examination (MMSE) score \>24 * Hoehn and Yahr stage between 1-3 * Voluntarily agreed to participate in the study after receiving detailed information Exclusion Criteria: Presence of visual, hearing impairments, cardiovascular or pulmonary diseases that could affect study outcomes * Having mental or physical impairments severe enough to hinder communication * Clinically unstable condition within the past month * Participation in a rehabilitation program within the last six months

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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.

Contacts and locations

Locations

  • Bezmialem Vakif University

    Istanbul, Eyup, Turkey (Türkiye)

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