Journal Basic Info

  • Impact Factor: 1.995**
  • H-Index: 8
  • ISSN: 2474-1647
  • DOI: 10.25107/2474-1647
**Impact Factor calculated based on Google Scholar Citations. Please contact us for any more details.

Major Scope

  •  Transplant Surgery
  •  Emergency Surgery
  •  Obstetrics Surgery
  •  Colon and Rectal Surgery
  •  Oral and Maxillofacial Surgery
  •  Orthopaedic Surgery
  •  Urology
  •  Neurological 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

*Correspondance to: Yun Liu 

 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.

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