Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
High-Throughput Computing to Automate...
Journal article

High-Throughput Computing to Automate Population-Based Studies to Detect the 30-Day Risk of Adverse Outcomes After New Outpatient Medication Use in Older Adults with Chronic Kidney Disease: A Clinical Research Protocol

Abstract

Background: Safety issues are detected in about one third of prescription drugs in the years following regulatory agency approval. Older adults, especially those with chronic kidney disease, are at particular risk of adverse reactions to prescription drugs. This protocol describes a new approach that may identify credible drug-safety signals more efficiently using administrative health care data. Objective: To use high-throughput computing and …

Authors

Abdullah SS; Rostamzadeh N; Muanda FT; McArthur E; Weir MA; Sontrop JM; Kim RB; Kamran S; Garg AX

Journal

Canadian Journal of Kidney Health and Disease, Vol. 11, ,

Publisher

SAGE Publications

Publication Date

1 2024

DOI

10.1177/20543581231221891

ISSN

2054-3581

Labels

Sustainable Development Goals (SDG)