Quantitative Variable Distribtion Study Results III: PRESERVE


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PEDSnet

Abstract

The results of a Quantitative Variable Distribution check using the Multi-Site, Anomaly Detection, Longitudinal parameters. This check evaluates the median value across time for blood pressure, eGFR, and urine protein.

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Provenance

This data quality check was run on a database extracted from the The Preserving Kidney Function in Children With CKD (PRESERVE) Study. These results were not used for the study, but rather run on the study data after analysis was conducted as part of an SSQDA demonstration project.

Description

  • Median values are generally consistent across the time period, though a few sites seem to not provide results until a certain year. This could be due to onboarding EHR systems at different times or differences in when lab data specifically became available.
  • Nationwide has high variation in the median across time for urine protein values, which may be due to a small sample size skewing the distribution.

Response to Findings

Study team did not conduct further investigation or data intervention in response to these results because this was a demonstration project intended to highlight the functionality of the SQUBA tool.

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Related Data Quality Results

Quantitative Variable Distribtion Study Results I: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
The results of a Quantitative Variable Distribution check using the Single Site, Anomaly Detection, Cross-Sectional parameters. This check evaluates upper and lower outliers, 2 or more standard deviations away from the mean, in blood pressure, eGFR, and urine protein distributions
Quantitative Variable Distribtion Study Results II: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
The results of a Quantitative Variable Distribution check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check evaluates blood pressure, eGFR, and urine protein distributions at each institution.

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Institutions

Related Data Quality Check

Quantitative Variable Distributions: Multi Site, Anomaly Detection, Longitudinal Analysis
Created:2025-07-30Affiliation:PEDSnet Data Coordinating Center
This check provides raw data and visualizations to aid a user in evaluating whether the distribution of quantitative variables aligns with clinical expectations. It can summarize the distribution of a quantitative variable (like lab result values) or patient counts (like number of patients with an outpatient visit).

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Creative Commons license

Except where otherwised noted, this item's license is described as a CC-BY Attribution 4.0 License.

Cite this Data Quality Result

Wieand, K. (2025, April). Quantitative Variable Distribtion Study Results III: PRESERVE. [D Q Result]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-659