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NCT04258397UNKNOWNanonymous

Trial of Pirfenidone to Prevent Progression in Chronic Kidney Disease (TOP-CKD)

Sponsor

Source record

Veterans Medical Research Foundation

Phase

Source record

PHASE2

Modality

AI-normalized

small molecule

Target

AI-normalized

Pirfenidone, matching placebo

Indication / condition

AI-normalized

Chronic Kidney Disease

Intervention

Source record

Pirfenidone, matching placebo

Source & freshness

Source record

NCT ID

NCT04258397

Original source

ClinicalTrials.gov

Source last updated

Apr 27, 2022

Ingested at

Jun 07, 2026

Internal sync

Jun 07, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

Open original registry record
View original source fields

NCT ID

NCT04258397

Title

Trial of Pirfenidone to Prevent Progression in Chronic Kidney Disease (TOP-CKD)

Sponsor

Veterans Medical Research Foundation

Status

UNKNOWN

Phase

PHASE2

Condition raw

Chronic Kidney Disease

Condition normalized

Chronic Kidney Disease

Modality raw

small molecule

Modality normalized

small molecule

Target raw

Pirfenidone, matching placebo

Target normalized

Pirfenidone, matching placebo

Interventions

Pirfenidone, matching placebo

Public preview

Source record

Kidney disease is a global health problem, affecting more than 10% of the world's population and more than half of adults over 70 years of age in the United States. Persons with kidney disease are at higher risk for cardiovascular disease, heart failure, physical function decline, and mortality. Kidney scarring is a dominant factor in the development of kidney disease. Our group has evaluated several tests to determine the severity of scarring without requiring kidney biopsies, using MRI imaging scans and evaluating markers of scarring that we can measure in the urine. In this study we will use these measures to evaluate pirfenidone as a promising potential new treatment for patients with kidney disease.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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