↓ Skip to main content

Visceral fat changes after distal gastrectomy according to type of reconstruction procedure for gastric cancer

Overview of attention for article published in World Journal of Surgical Oncology, June 2013
Altmetric Badge

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
32 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Visceral fat changes after distal gastrectomy according to type of reconstruction procedure for gastric cancer
Published in
World Journal of Surgical Oncology, June 2013
DOI 10.1186/1477-7819-11-146
Pubmed ID
Authors

Koji Tanaka, Isao Miyashiro, Masahiko Yano, Kentaro Kishi, Masaaki Motoori, Tatsushi Shingai, Shingo Noura, Masayuki Ohue, Hiroaki Ohigashi, Osamu Ishikawa

Abstract

Noncancerous causes of death, such as cerebrovascular or cardiac disease, are not rare in patients with gastric cancer who had undergone curative gastrectomy. Metabolic syndrome, characterized by visceral fat accumulation, is a risk factor for cerebrovascular and cardiac diseases. However, there is limited information on the effects of reconstruction procedures on changes in visceral fat after distal gastrectomy. The aim of this study was to analyze the impact of the reconstruction procedure (Roux-en-Y reconstruction (RY) and Billroth I reconstruction (BI)) on changes in visceral fat, as determined using computed tomography.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 25%
Student > Master 7 22%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Professor 1 3%
Other 2 6%
Unknown 9 28%
Readers by discipline Count As %
Medicine and Dentistry 13 41%
Nursing and Health Professions 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 11 34%