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Study to Develop a Tool to Estimate the Kidney Function in Databases Without Laboratory Data

NCT03605810 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 5132200

Last updated 2019-12-10

No results posted yet for this study

Summary

Scientific analyses are frequently performed on e.g. health insurance databases to study the usage and effectiveness of drugs in real life.

Kidney function is known to have an influence on a patients disease development and/or drug levels in blood.

However, often direct measures for kidney function are not available in databases.

This study plans to develop tools to classify the renal function of patients, which helps scientists to identify patient cohorts (groups of patients sharing same characteristics) for scientific analyses.

Conditions

  • Renal Function

Interventions

OTHER

No Intervention

This study is the development of algorithms/models to predict eGFR values and/or classes for patients at certain time point based on entries in claims database (demographic characteristics, clinical diagnoses, procedures and drug treatments) for a general population and a variety of use-cases (AF, CAD, T2DM patients sub-populations).

Sponsors & Collaborators

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-07-15
Primary Completion
2018-12-31
Completion
2018-12-31

Countries

  • United States

Study Locations

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Entities

Companies

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 NCT03605810 on ClinicalTrials.gov