Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals
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Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
OASIS: A mobile study to measure and predict lupus (SLE) disease activity using digital signals The OASIS study is exploring how patient reported data and digital biomarkers, like activity level and heart rate variability, can be used to predict changes in lupus disease activity. You may receive a Withings Steel HR smartwatch as part of this study. The purpose of this study is to look for factors that affect lupus disease activity and potentially predict lupus flares through non-clinical tests
Study identification
- NCT ID
- NCT04449653
- Recruitment status
- Not listed
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 300 participants
Conditions and interventions
Conditions
Interventions
Not listed
Eligibility (public fields only)
- Age range
- 18 Years and older
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Apr 28, 2020 (Actual)
- Primary completion
- Dec 31, 2020 (Estimated)
- Completion
- Jun 1, 2021 (Estimated)
- Last update posted
- Jun 29, 2020
2020 – 2021
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Ryan Newhardt | Oklahoma City | Oklahoma | 73104 | Recruiting |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT04449653, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Jun 29, 2020 · Synced Nov 15, 2026
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