A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data-Reference-Cited by-同舟云学术

A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data

Published:2023-12-31 Issue: Volume: Page:
ISSN:1720-8386
Container-title:Journal of Endocrinological Investigation
language:en
Short-container-title:J Endocrinol Invest

Author:

McDaniel C. C.^ORCID,Lo-Ciganic W.-H.,Huang J.,Chou C.

Funder

Pharmaceutical Research and Manufacturers of America Foun

American Foundation for Pharmaceutical Education

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://link.springer.com/content/pdf/10.1007/s40618-023-02259-1.pdf

Reference40 articles.

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2. Khunti K. Defining therapeutic inertia. American Diabetes Association, Arlington County, VA. https://professional.diabetes.org/meetings/defining-therapeutic-inertia. Accessed 31 Jan 2023

3. Khunti K, Gomes MB, Pocock S, Shestakova MV, Pintat S, Fenici P, Hammar N, Medina J (2018) Therapeutic inertia in the treatment of hyperglycaemia in patients with type 2 diabetes: a systematic review. Diabetes Obes Metab 20:427–437. https://doi.org/10.1111/dom.13088

4. Mahabaleshwarkar R, Gohs F, Mulder H, Wilkins N, DeSantis A, Anderson WE, Ejzykowicz F, Rajpathak S, Norton HJ (2017) Patient and provider factors affecting clinical inertia in patients with type 2 diabetes on metformin monotherapy. Clin Ther 39:1658–70.e6. https://doi.org/10.1016/j.clinthera.2017.06.011

5. Pantalone KM, Misra-Hebert AD, Hobbs TM, Ji X, Kong SX, Milinovich A, Weng W, Bauman JM, Ganguly R, Burguera B, Kattan MW, Zimmerman RS (2020) Intensification patterns and the probability of HbA(1c) goal attainment in type 2 diabetes mellitus: real-world evidence for the concept of ‘intensification inertia.’ Diabet Med 37:1114–1124. https://doi.org/10.1111/dme.13900

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