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NCT06775067

Incremental Dialysis Decision Model Based on Expert-Guided Machine Learning

Completed Last updated 14 January 2025
What this trial tests

trial in End-stage Renal Disease in 175 participants. Completed in 28 June 2024.

Timeline
12 April 2010
Primary endpoint
28 June 2024
28 June 2024

Quick facts

Lead sponsorHuashan Hospital
StatusCompleted
Study typeOBSERVATIONAL
Enrollment175
Start date12 April 2010
Primary completion28 June 2024
Estimated completion28 June 2024
Sites1 location across China

Conditions studied

Sponsor

Huashan Hospital

Who can join

18 and older, any sex, with End-stage Renal Disease. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This observational prospective study combined clinical expert knowledge with machine learning to develop and validate a predictive model for incremental hemodialysis decision-making. The aim of the predictive model is to assist clinicians in developing individualized incremental dialysis treatment plans to optimize patient outcomes.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for End-stage Renal Disease

Currently open trials in the same condition.

Other Huashan Hospital trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06775067.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing