Predicting Mortality in Kidney Transplant Recipients
Public ClinicalTrials.gov record NCT06531967. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
Development and Validation of a Prediction Model for Risk of Death in Kidney Transplant Recipients
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Accurately predicting kidney recipient risk of death has a crucial interest because of the organ shortage, the need to optimize allograft allocation by identifying high-risk patients who may not benefit from a transplant and improve the clinical decision-making after transplant to ensure that each patient survives as long as possible. However, according to a literature review the investigators performed, studies attempting to develop a kidney recipient death prediction model suffer from many shortcomings, including the lack of key risk factors, use of biased registry data, small sample size, lack of external validation in different countries and subpopulations, and short follow-up. The present study thus aimed to address these limitations and develop a robust, generalizable kidney recipient death prediction model.
Study identification
- NCT ID
- NCT06531967
- Recruitment status
- Not listed
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 13,000 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 18 Years to 100 Years
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Dec 31, 2003
- Primary completion
- May 31, 2024
- Completion
- Jul 31, 2024
- Last update posted
- Jul 31, 2024
2004 – 2024
United States locations
- U.S. sites
- 3
- U.S. states
- 3
- U.S. cities
- 3
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Department of Medicine, Mayo Clinic | Phoenix | Arizona | 85054 | — |
| Bakar Computational Health Sciences Institute, University of California | San Francisco | California | 94158 | — |
| Penn Transplant Institute, Hospital of the University of Pennsylvania | Philadelphia | Pennsylvania | 19104 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
Non-U.S. locations
This page focuses on the U.S. directory. The official record also lists 8 non-U.S. sites.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT06531967, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Jul 31, 2024 · Synced Sep 7, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT06531967 live on ClinicalTrials.gov.