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Human Versus Computer-based Predictions of Long Allograft Survival

NCT04918199 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2023-03-28

No results posted yet for this study

Summary

The clinical decision-making after kidney transplantation is mainly driven by patient individual assessment. However, this task remains difficult and uncertain due to the integration of complex and numerous parameters. We aim to evaluate and compare the ability of transplant physicians to predict long term allograft survival compared with a computer-based survival prediction algorithm (iBox system).

Conditions

  • Kidney Transplant Failure

Interventions

DEVICE

Computer based assessment (iBox)

Individual allograft survival probabilities of death censored allograft survival seven years after the time of risk evaluation, computed using the iBox (NCT03474003), a qualified prognostication system designed to predict long term allograft survival up to seven years after evaluation.

OTHER

Physician assessement

Based on anonymized electronic health records, physicians have to determine a percentage of death censored allograft survival seven years after the time of risk evaluation,

Sponsors & Collaborators

  • Paris Translational Research Center for Organ Transplantation

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-03-01
Primary Completion
2021-12-31
Completion
2021-12-31

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04918199 on ClinicalTrials.gov