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NCT05082584WITHDRAWNanonymous

A Multicenter, Open-label Study to Evaluate the Safety and Efficacy of Once Daily Oral Vadadustat for The Treatment of Pediatric Subjects With Anemia of Chronic Kidney Disease Naive to Erythropoiesis-stimulating Agents

Sponsor

Source record

Akebia Therapeutics

Phase

Source record

Phase 3

Modality

AI-normalized

small molecule

Target

AI-normalized

Anemia of Chronic Kidney Disease in Pediatric Patients

Indication / condition

AI-normalized

Anemia of Chronic Kidney Disease

Intervention

Source record

Vadadustat

Source & freshness

Source record

NCT ID

NCT05082584

Original source

ClinicalTrials.gov

Source last updated

Oct 01, 2025

Ingested at

May 30, 2026

Internal sync

Jun 05, 2026

Model version

trialsignal-ai-v1

Normalized confidence

88%

Validation status

validated

Open original registry record
View original source fields

NCT ID

NCT05082584

Title

A Multicenter, Open-label Study to Evaluate the Safety and Efficacy of Once Daily Oral Vadadustat for The Treatment of Pediatric Subjects With Anemia of Chronic Kidney Disease Naive to Erythropoiesis-stimulating Agents

Sponsor

Akebia Therapeutics

Status

WITHDRAWN

Phase

Phase 3

Condition raw

Anemia of Chronic Kidney Disease

Condition normalized

Anemia of Chronic Kidney Disease

Modality raw

Anemia of Chronic Kidney Disease

Modality normalized

small molecule

Target raw

Anemia of Chronic Kidney Disease in Pediatric Patients

Target normalized

Anemia of Chronic Kidney Disease in Pediatric Patients

Interventions

Vadadustat

Public preview

Source record

The clinical trial aimed to evaluate the safety and efficacy of once-daily oral vadadustat for treating pediatric participants with anemia of chronic kidney disease who are naive to erythropoiesis-stimulating agents. The study was sponsored by Akebia Therapeutics and was intended to enroll participants aged 4 months to 16 years.

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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