Journal Basic Info
- Impact Factor: 1.995**
- H-Index: 8
- ISSN: 2474-1647
- DOI: 10.25107/2474-1647
Major Scope
- Transplant Surgery
- Cardiovascular Surgery
- Oral and Maxillofacial Surgery
- Gynecological Surgery
- Robotic Surgery
- General Surgery
- Surgical Oncology
- Obstetrics Surgery
Abstract
Citation: Clin Surg. 2019;4(1):2497.Short Communication | Open Access
An Effective Treatment Pathways Study for Type-2 Diabetes
Xin Zhang, Shan Lu, Li Wang, Shumei Miao, Yuechuchu Yin, Shengqi Jing, Tao Shan, Xiaoliang Zhang, Zuolei Dai, Zhongmin Wang and Yun Liu
Department of Information, Nanjing Medical University, China
School of Biomedical Engineering and Informatics, Nanjing Medical University, China
Department of Health Education, Nanjing Medical University, China
Department of Medical Informatics, Nantong University, China
PDF Full Text DOI: 10.25107/2474-1647.2497
Abstract
This paper cleaned, transformed and imported EMR data into OMOP CDM using distributed network and Observational Health Data Sciences and Informatics (OHDSI) tools. The treatment pathways were analyzed retrospectively, and the effects of the four medications most commonly used in the second-line therapy after the first-line of metformin recommended by the guidelines were compared emphatically. The conclusion would be one of the bases for the selection of clinical treatment in the future.
Keywords
Cite the article
Zhang X, Lu S, Wang L, Miao S, Yin Y, Jing S, et al. An Effective Treatment Pathways Study for Type-2 Diabetes. Clin Surg. 2019; 4: 2497.
