Quantitative Variable Distribtion Study Results I: PRESERVE


Created

Loading...
Thumbnail Image

Last Modified

Findings

Tags



Domain

Publisher

PEDSnet

Abstract

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

Funder(s)

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

  • Each variable has a relatively small proportion of outlying values (< 3%), with the most outliers observed for eGFR measurements. As eGFR is a derived variable, this could also be due to outliers in serum creatinine or height values.
  • Only blood pressure values had low outliers, which is likely within expectations given the number of values and size of the distribution, but this would require more investigation.

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.

Clinical Subjects Headings

Development Code

Vocabulary

Related Data Quality Results

Quantitative Variable Distribtion Study Results III: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
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.
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.

Data Source

Institutions

Related Data Quality Check

Quantitative Variable Distributions: Single Site, Anomaly Detection, Cross-Sectional 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).

Related Study

Related Publications

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 I: PRESERVE. [D Q Result]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-657