↓ Skip to main content

High tie versus low tie of the inferior mesenteric artery: a protocol for a systematic review

Overview of attention for article published in World Journal of Surgical Oncology, November 2011
Altmetric Badge

Citations

dimensions_citation
15 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
High tie versus low tie of the inferior mesenteric artery: a protocol for a systematic review
Published in
World Journal of Surgical Oncology, November 2011
DOI 10.1186/1477-7819-9-147
Pubmed ID
Authors

Roberto Cirocchi, Eriberto Farinella, Stefano Trastulli, Jacopo Desiderio, Giorgio Di Rocco, Piero Covarelli, Alberto Santoro, Giammario Giustozzi, Adriano Redler, Nicola Avenia, Antonio Rulli, Giuseppe Noya, Carlo Boselli

Abstract

In anterior resection of rectum, the section level of inferior mesenteric artery is still subject of controversy between the advocates of high and low tie. The low tie is the division and ligation to the branching of the left colic artery and the high tie is the division and ligation at its origin at the aorta. We intend to assess current scientific evidence in literature and to establish the differences comparing technique, anatomy and physiology. The aim of this protocol is to achieve a meta-analysis that tests safety and feasibility of the two procedures with several types of outcome measures.

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 %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Professor > Associate Professor 5 16%
Student > Postgraduate 4 13%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Other 5 16%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 23 72%
Computer Science 1 3%
Environmental Science 1 3%
Chemistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 5 16%