Patient Event Sequencing Study Results I: PAQS Query 3


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2025-05-30
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Domain

Publisher

PEDSnet

Abstract

The results of a Patient Event Sequencing check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check investigates the distribution of time between a T2DM diagnosis (index event) and a CKD diagnosis (outcome event).

Affiliation(s)

PEDSnet Data Coordinating Center

Funder(s)

Provenance

This data quality check was run on a data extracted from the PAQS Query 3 Project. These results were not used for the query, but rather run on the query data after analysis was conducted as part of an SSQDA demonstration project.

Description

*- Generally, about 60-70% of the cohort does not have both events, and because a T2DM diagnosis was a requirement of cohort entry, this really means that a CKD diagnosis is not present for those cohort members. The exception to this is the pediatric cohort, for whom CKD is much less prevalent. For those institutions, 95%+ of the cohort does not have a CKD diagnosis.

  • When these events do occur together, only up to 25% of the cohort have them occur within a year of each other. This indicates that there is potentially a greater distance between these two events expected, so another user threshold should be implemented in future iterations to futher explore.

Response to Findings

Study team did not conduct further investigation or data intervention in response to these results because this was a demonstration project.

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Vocabulary

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Patient Event Sequencing Study Results II: PAQS Query 3
Created:2025-05-30Affiliation:PEDSnet Data Coordinating Center
The results of a Patient Event Sequencing check using the Multi-Site, Exploratory, Cross-Sectional parameters. This check investigates the distribution of time between an Hba1c result > 5.8% (index event) and an antidiabetic drug prescription (outcome event).

Data Source

Institutions

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Patient Event Sequencing: Multi Site, Exploratory, Cross-Sectional Analysis
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The Patient Event Sequencing module computes the days between two user-specified events and summarizes the distribution within the cohort. It assesses the plausibility of the sequence of two user-provided clinical events as they appear in a patient's record. This allows the user to ensure that the two events, like a cancer diagnosis and chemotherapy, occur in a sensible order and within an expected length of time.

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a CC-BY Attribution 4.0 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, May). Patient Event Sequencing Study Results I: PAQS Query 3. [D Q Result]. PEDSpace Knowledge Bank. https://doi.org/10.24373/pdsp-680