A machine learning-based algorithm to identify U-500R insulin candidates among adults with type 2 diabetes mellitus in US retrospective databases-Reference-Cited by-同舟云学术

A machine learning-based algorithm to identify U-500R insulin candidates among adults with type 2 diabetes mellitus in US retrospective databases

Published:2024-01-23 Issue:3 Volume:40 Page:367-375
ISSN:0300-7995
Container-title:Current Medical Research and Opinion
language:en
Short-container-title:Current Medical Research and Opinion

Author:

Patel Raja H.¹^ORCID,Fan Ludi²,Kelly Neal R.¹,Gelsey Felicia²,Hertzberg Jeffrey K.¹,Brnabic Alan James Michael²

Affiliation:

1. Optum, Eden Prairie, MN, USA

2. Eli Lilly and Company, Indianapolis, IN, USA

Funder

Eli Lilly and Company

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03007995.2023.2293116

Reference32 articles.

1. Centers for Disease Control and Prevention. National diabetes statistics report: Estimates of Diabetes and Its Burden in the United States. Washington (DC): CDC. 2023 [cited 2023 Nov 2]. https://www.cdc.gov/diabetes/data/statistics-report/index.html.

2. 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Medical Care in Diabetes—2022

3. Management of Hyperglycemia in Type 2 Diabetes, 2015: A Patient-Centered Approach: Update to a Position Statement of the American Diabetes Association and the European Association for the Study of Diabetes

4. Two Treatment Approaches for Human Regular U-500 Insulin in Patients With Type 2 Diabetes not Achieving Adequate Glycemic Control on High-Dose U-100 Insulin Therapy With or Without Oral Agents: A Randomized, Titration-To-Target Clinical Trial

5. Insulin Degludec 200 Units/mL Is Associated With Lower Injection Frequency and Improved Patient-Reported Outcomes Compared With Insulin Glargine 100 Units/mL in Patients With Type 2 Diabetes Requiring High-Dose Insulin