Expected Variables Present Study Results II: PRESERVE


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PEDSnet

Abstract

The results of an Expected Variables Present check using the Multi-Site, Anomaly Detection, Cross-Sectional parameters. This check assesses anomalous proportions of patients with several study variables, like ABPM and census tract information.

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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

  • Uiowa has an anomalously low proportion of patients with census tract information, which is expected due to known challenges at the institution
  • There are many anomalous institutions related to ABPM data, demonstrating relative heterogeneity and differences in site practice when coding for or administering this procedure
  • There are also several anomalous institutions related to antihypertensive exposure prior to cohort entry, which will require further investigation to determine why the population at these sites are exposed earlier than others.

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

Expected Variables Present Study Results I: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
The results of an Expected Variables Present check using the Single Site, Exploratory, Cross-Sectional parameters. This check assesses the proportion of patients with several study variables, like ABPM and census tract information.
Expected Variables Present Study Results III: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
The results of an Expected Variables Present check using the Multi-Site, Anomaly Detection, Longitudinal parameters. This check assesses anomalous proportions of patients with several study variables, like ABPM and census tract information.

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Institutions

Related Data Quality Check

Expected Variables Present: Multi-Site, Anomaly Detection, Cross-Sectional Analysis
Created:2024-06-05Affiliation:PEDSnet Data Coordinating Center
This check provides raw data and visualizations to aid a user in evaluating whether expected concepts are present in a dataset of interest. It summarizes the proportion of patients with co-occurring variables. This check promotes the identification of anomalous data to compare among sites.

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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). Expected Variables Present Study Results II: PRESERVE. [D Q Result]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-655