Revealing Engagement Dynamics Among Diabetic Kidney Disease Patients
NCT ID: NCT06101901
Last Updated: 2023-10-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
500 participants
OBSERVATIONAL
2024-11-30
2026-11-30
Brief Summary
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The data collected from this study will help improve future outcomes for all diabetic kidney disease as well as those in under-represented demographic groups.
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Detailed Description
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Conditions
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Study Design
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CASE_CROSSOVER
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Aged ≥ 18 years old and ability to provide written informed consent obtained prior to participation in the study and any related procedures being performed
* Subjects willing and able to comply with the protocol for the duration of the study including undergoing treatment and scheduled visits and examination.
Exclusion Criteria
* Women of childbearing potential without a negative pregnancy test; or women who are lactating.
* Any serious and/or unstable pre-existing medical disorders
18 Years
ALL
No
Sponsors
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Power Life Sciences Inc.
INDUSTRY
Responsible Party
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Principal Investigators
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Michael B Gill
Role: STUDY_DIRECTOR
Power Life Sciences Inc.
Locations
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Power Life Sciences
San Francisco, California, United States
Countries
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Central Contacts
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References
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Schrauben SJ, Shou H, Zhang X, Anderson AH, Bonventre JV, Chen J, Coca S, Furth SL, Greenberg JH, Gutierrez OM, Ix JH, Lash JP, Parikh CR, Rebholz CM, Sabbisetti V, Sarnak MJ, Shlipak MG, Waikar SS, Kimmel PL, Vasan RS, Feldman HI, Schelling JR; CKD Biomarkers Consortium and the Chronic Renal Insufficiency Cohort (CRIC) Study Investigators. Association of Multiple Plasma Biomarker Concentrations with Progression of Prevalent Diabetic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort (CRIC) Study. J Am Soc Nephrol. 2021 Jan;32(1):115-126. doi: 10.1681/ASN.2020040487. Epub 2020 Oct 29.
Tofte N, Lindhardt M, Adamova K, Bakker SJL, Beige J, Beulens JWJ, Birkenfeld AL, Currie G, Delles C, Dimos I, Francova L, Frimodt-Moller M, Girman P, Goke R, Havrdova T, Heerspink HJL, Kooy A, Laverman GD, Mischak H, Navis G, Nijpels G, Noutsou M, Ortiz A, Parvanova A, Persson F, Petrie JR, Ruggenenti PL, Rutters F, Rychlik I, Siwy J, Spasovski G, Speeckaert M, Trillini M, Zurbig P, von der Leyen H, Rossing P; PRIORITY investigators. Early detection of diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY): a prospective observational study and embedded randomised placebo-controlled trial. Lancet Diabetes Endocrinol. 2020 Apr;8(4):301-312. doi: 10.1016/S2213-8587(20)30026-7. Epub 2020 Mar 2.
Chan L, Nadkarni GN, Fleming F, McCullough JR, Connolly P, Mosoyan G, El Salem F, Kattan MW, Vassalotti JA, Murphy B, Donovan MJ, Coca SG, Damrauer SM. Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease. Diabetologia. 2021 Jul;64(7):1504-1515. doi: 10.1007/s00125-021-05444-0. Epub 2021 Apr 2.
Provided Documents
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Document Type: Informed Consent Form
Other Identifiers
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63894857
Identifier Type: -
Identifier Source: org_study_id
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