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NCT05736302 · ClinicalTrials.gov registry record

Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water

A clinical trial of Movement Disorders and Energy Metabolism, sponsored by University of Wisconsin, Milwaukee.

Recruiting
Registry status
125
Enrollment target
1
Study location

NCT05736302 is a study of Movement Disorders and Energy Metabolism that is actively recruiting participants, run by University of Wisconsin, Milwaukee. The registered enrollment target is 125 participants, below the 1,063-participant average among 26 other Movement Disorders trials with a reported enrollment target (88% lower). The trial reports 1 study location across 1 state.

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The verdict

NCT05736302, a study of Movement Disorders and Energy Metabolism, is actively recruiting participants, sponsored by University of Wisconsin, Milwaukee.

RECRUITING
Registry status
125 participants
Enrollment target
1
Study location

Study Summary

The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement and functional limitations.

Interventions

  • OTHER Doubly-Labeled Water

Study Locations (1)

Wisconsin

  • University of Wisconsin-Milwaukee - Milwaukee

Trial Details

FieldValue
Enrollment Target 125 participants
Start Date 2023-03-14
Est. Completion 2026-12-31

Sponsor

University of Wisconsin, Milwaukee

21 total trials

What the Registry Record Tells You About NCT05736302

The ClinicalTrials.gov registry entry for NCT05736302 describes a study currently listed as recruiting, categorized as an unspecified phase. The registered enrollment target is 125 participants, a figure that helps gauge the scale of data the investigators plan to collect, below the 1,063-participant average among 26 other Movement Disorders trials with a reported enrollment target (88% lower). The listed sponsor is University of Wisconsin, Milwaukee, which has 21 total studies on file at ClinicalTrials.gov.

The record links to 2 conditions, with Movement Disorders appearing as the primary indexed condition, and to 1 intervention - of which Doubly-Labeled Water is the first listed.

NCT05736302 reports 1 study location spanning 1 distinct geographic area - top geographies include Wisconsin.

Frequently Asked Questions

What is clinical trial NCT05736302 about?

NCT05736302 is a clinical study titled "Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water". The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement and functional limitations.

What is the current status of trial NCT05736302?

This trial is currently recruiting. The enrollment target is 125 participants. The study started on 2023-03-14. Estimated completion is 2026-12-31.

What conditions does trial NCT05736302 study?

This clinical trial studies the following conditions: Movement Disorders, Energy Metabolism.

What interventions are being tested in trial NCT05736302?

The interventions under investigation include: Doubly-Labeled Water (OTHER).

Who is sponsoring clinical trial NCT05736302?

This trial is sponsored by University of Wisconsin, Milwaukee, which has 21 total clinical trials registered on ClinicalTrials.gov.

Where is trial NCT05736302 being conducted?

This trial has 1 study location across Wisconsin. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

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Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.