Clinical trial · Observational
Project Baseline Health Study
NCT03154346CI-TRIAL-00080720active not recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study is the first initiative of Project Baseline, a broader effort designed to develop a well-defined reference, or "baseline," of good health as well as a rich data platform that may be used to better understand the transition from health to disease and identify additional risk factors for disease. Project Baseline endeavors to test and develop new tools and technologies to collect, organize, and activate health information.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| All | Acute Lymphoblastic Leukemia | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (1)
- label
- General Population
- description
- An unlimited number of participants will be accepted into a Baseline registry. From the Baseline registry, approximately 10,000 participants will be selected for the Baseline Study. Participant enrollment for the Baseline Study will be stratified by age, sex and risk factors and will aim to reflect the race and ethnicity distribution within the U.S.. The population includes a broad range of participants across the health spectrum, including exceptionally healthy participants, participants at risk of disease, and participants with current disease. The study population will be enriched for participants with an elevated risk of primary cardiovascular disease, lung cancer, and/or breast/ovarian cancers.
Primary outcomes (5)
- measure
- Develop a set of scalable and standardized tools for acquiring, organizing, and analyzing clinical, molecular, imaging, sensor, self-reported, behavioral, environmental, and other health-related measurements
- timeFrame
- For the duration of the study
- measure
- Evaluate the use of sensor technologies for the collection of continuous, accurate health information
- timeFrame
- For the duration of the study
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Age ≥ 18 * U.S. Resident * Able to speak and read English * Willing and able to comply with all aspects of the protocol Exclusion Criteria: * Individuals working on Project Baseline, including the Baseline Study * Known severe allergy to nickel or metal jewelry
References
Publications (10)
- DERIVEDCarroll MK, Faheem S, Bouteiller J, Hernandez A, Mahaffey KW, Mega JL, Pagidipati N, Schaack T, Shah SH, Shashidhar S, Swope S, Williams D, Plowman RS, Simard EP, Short SA, Sullivan SS. Retention and characteristics associated with remote questionnaire completion in a general population cohort study: the project baseline health study. Front Digit Health. 2025 Jun 24;7:1520132. doi: 10.3389/fdgth.2025.1520132. eCollection 2025. PMID 40630050
- DERIVEDDuran JM, Shrader P, Hong C, Haddad F, Santana EJ, Cauwenberghs N, Kouznetsova T, Salerno M, Bloomfield G, Koweek L, Hernandez A, Mahaffey KW, Shah SH, Douglas PS, Daubert MA; Project Baseline Health Study Group. Abnormal Exercise Electrocardiography With Normal Stress Echocardiography Is Associated With Subclinical Coronary Atherosclerosis. Circ Cardiovasc Imaging. 2025 Feb;18(2):e017380. doi: 10.1161/CIRCIMAGING.124.017380. Epub 2025 Jan 13. PMID 39801490
- DERIVEDFeng KY, Short SA, Saeb S, Carroll MK, Olivier CB, Simard EP, Swope S, Williams D, Eckstrand J, Pagidipati N, Shah SH, Hernandez AF, Mahaffey KW. Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study. J Med Internet Res. 2024 Dec 20;26:e60493. doi: 10.2196/60493. PMID 39705694
- DERIVEDDoroodgar Jorshery S, Chandra J, Walia AS, Stumiolo A, Corey K, Zekavat SM, Zinzuwadia AN, Patel K, Short S, Mega JL, Plowman RS, Pagidipati N, Sullivan SS, Mahaffey KW, Shah SH, Hernandez AF, Christiani D, Aerts HJWL, Weiss J, Lu MT, Raghu VK. Leveraging Deep Learning of Chest Radiograph Images to Identify Individuals at High Risk for Chronic Obstructive Pulmonary Disease. medRxiv [Preprint]. 2024 Nov 15:2024.11.14.24317055. doi: 10.1101/2024.11.14.24317055. PMID 39606360
- DERIVEDTaylor KA, Carroll MK, Short SA, Celestin BE, Gilbertson A, Olivier CB, Haddad F, Cauwenberghs N. Factors associated with lower quarter performance-based balance and strength tests: a cross-sectional analysis from the project baseline health study. Front Sports Act Living. 2024 Jul 15;6:1393332. doi: 10.3389/fspor.2024.1393332. eCollection 2024.