Codelists for "Systemic Therapies for Psoriatic Disease and Major Adverse Cardiovascular Events in Older Adults: A Population-based Cohort Study"

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Authors: Rita Iskandar
Cited by: 0

Abstract

This repository provides diagnosis, procedure, and medication codelists (including Drug Identification Numbers, DINs) used in the study: “Systemic therapies for psoriatic disease and major adverse cardiovascular events in older adults: a population-based cohort study.” The codelists support transparent and reproducible definitions of: Study population with psoriatic disease (psoriasis and psoriatic arthritis) Exposure to systemic psoriatic therapies (DIN-based drug classes) Major adverse cardiovascular events (MACE) outcome and its individual components Exclusion criteria Covariables including comorbidities and medication-based covariables We developed those codelists for use with Ontario administrative health data held at ICES, drawing from datasets maintained by Canadian Institute for Health Information (CIHI), the Ontario Drug Benefit (ODB) program, the Ontario Health Insurance Plan (OHIP), and the Canadian Organ Replacement Register (CORR). This repository contains codelists and DIN lists only. It does not include individual-level data or analytic code. Data sharing agreements prohibit public release of the underlying administrative data. Access to ICES-held data may be requested through ICES Data & Analytic Services (https://www.ices.on.ca/DAS). More detailed file descriptions are available in README.md in the repository root (codelists/). We provide variable algorithms (including lookback windows and operational definitions) in the supplement of the corresponding manuscript. Please cite the corresponding article and this Zenodo record.

Fields of Study & Subjects

Psoriasis: Treatment and Pathogenesis Spondyloarthritis Studies and Treatments Medical Coding and Health Information

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Language
EN
Document type
Dataset