Albogami et al. conducted an observational study in the IBM MarketScan Commercial claims database, and found that among that patients with type 2 diabetes and chronic lower respiratory disease (CLRD, e.g. asthma or COPD), persons initiating Glucagon-Like Peptide 1 Receptor Agonists (GLP-1RA) had a lower risk of CLRD hospitalizations and exacerbations compared to new users of dipeptidyl peptidase 4 inhibitors (DPP-4I). The study applied a comparative cohort design, with a target cohort of new users of GLP-1RA and comparator cohort of new users of DPP-4I, propensity-score adjustment for baseline confounding, and separate outcome models and two endpoints: Cox proportional hazards model to estimate hazard ratio of CLRD hospitalization, and a Poisson regression to estimate incidence rate ratio of CLRD exacerbation. The publication, “Glucagon-Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Exacerbations Among Patients With Type 2 Diabetes”, is an excellent example of current best practice in pharmacoepidemiology, led by leaders in the field and published in a high-impact journal, Diabetes Care in April 2021 (https://care.diabetesjournals.org/content/44/6/1344). The results, if confirmed, could potentially impact clinical care for the large number of patients who have comorbid diabetes and CLRD.
In this tutorial, we will examine a foundational element to conducting a high-quality observational study such as Albogami et al: building conceptsets – expressions to identify the list of concepts (representing either source codes like ICD-9 and ICD-10 or standards from vocabularies like SNOMED and RxNorm). We will review the publication to determine what conceptsets are necessary to produce the study populations and analysis results. We will then walk through a series of interactive demonstrations and breakout exercises to develop conceptsets from different starting points that researchers find themselves. Finally, we will discuss strategies to evaluate conceptsets and highlight OHDSI tools that can help improve the quality of your research.
Students will learn:
- What is a conceptset
- How to build a conceptset from a list of source codes
- How to build a conceptset from a list of drug names
- How to build a conceptset from a description of a clinical idea
- How to evaluate conceptsets
Who should take this tutorial:
- Researchers involved in the design or implementation of new observational studies
- Researchers who wish to evaluate reproducibility and generalizability of existing studies
- Familiarity with OMOP common data model and OHDSI vocabularies (EHDEN Academy course on vocabularies would be useful refresher for those less comfortable)
- All tutorial participants are required to read Albogami et al, “Glucagon-Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Exacerbations Among Patients With Type 2 Diabetes”, Diabetes Care, 2021, and supplemental materials PRIOR to the tutorial. The entire tutorial depends on familiarity of the contents of the publication, all exercises will involve use of the publication materials, and there will NOT be time alotted for those who come unprepared to get up-to-speed.
Class size and Registration Deadline:
This tutorial is offered on a first-come, first-served basis. To make this tutorial as engaging and interactive as possible, registration is being limited .The deadline to sign up for this tutorial is by Wednesday, Sept. 1 or until the maximum attendance is reached. When this tutorial closes, we will offer a waitlist.
Tutorial Fees: There is no fee to take this tutorial
While we are excited to create this opportunity to participate in this tutorial for free, there are costs associated with coordinating all OHDSI community activities. To help offset these costs, we provide the additional optional opportunity for participants to support the OHDSI community through ‘ “tutorial optional registration fee’ tickets. You may cancel your free registration ticket at any time; however, contributions are not refundable (should you need a tax receipt for your contribution, please contact email@example.com BEFORE making your registration contribution through this website).
The tutorial will take place from 8 am – 5 pm (ET) (a detailed agenda will follow)
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