Expected Variables Present Study Results III: PRESERVE


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PEDSnet

Abstract

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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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

-UFlorida has unusual longitudinal behavior, especially in the procedure domain, with a large spike in patient proportion in the range of 2013-2015 before returning to a more stable baseline shortly after. This could indicate an influx of historical data around this time, but more investigation will be required.

  • UNC also has somewhat of a spike for procedure data around 2015, but it is more gradual and not quite as pronounced.
  • Several sites seem to come online at a specific time point when evaluating antihypertensive exposure after cohort entry, which could indicate a data latency issue or a characteristic of the population causing later cohort entry dates.

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 II: PRESERVE
Created:2025-04-08Affiliation:PEDSnet Data Coordinating Center
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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Related Data Quality Check

Expected Variables Present: Multi-Site, Anomaly Detection, Longitudinal 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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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 III: PRESERVE. [D Q Result]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-656