Literature DB >> 17610698

Cumulative sum techniques for surgeons: a brief review.

Cheng-Hon Yap1, Mark E Colson, David A Watters.   

Abstract

There has been increasing awareness of the need for monitoring the quality of health care, particularly in the area of surgery. The Cumulative Summation (Cusum) techniques have emerged as a popular tool for performance monitoring in surgery. They allow one to judge whether a given variation in performance is probably due to chance or greater than could be expected from random variation and thus a cause for concern. The Cusum techniques are simple to carry out and can be applied to any surgical process with a binary outcome. Four parameters need to be set in advance: acceptable outcome rate, unacceptable outcome rate, Type I and Type II error rates. In this article, we review the history, statistical methods and potential applications for the Cusum techniques in the field of surgery and illustrate the two common forms of charting (cumulative failure and Cusum charting) by using unadjusted outcome data from the Geelong Hospital and St Vincent's Hospital cardiac surgery databases.

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Year:  2007        PMID: 17610698     DOI: 10.1111/j.1445-2197.2007.04155.x

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  33 in total

1.  How should single-access or natural orifice cholecystectomy be introduced?

Authors:  Saxon J Connor
Journal:  HPB (Oxford)       Date:  2010-09       Impact factor: 3.647

2.  Cumulative sum (Cusum) analysis provides an objective measure of competency during training in endoscopic retrograde cholangio-pancreatography (ERCP).

Authors:  Hayley M Waller; Saxon J Connor
Journal:  HPB (Oxford)       Date:  2009-11       Impact factor: 3.647

Review 3.  Assessment and maintenance of competence in urology.

Authors:  Kamran Ahmed; Muhammed Jawad; Prokar Dasgupta; Ara Darzi; Thanos Athanasiou; Mohammad Shamim Khan
Journal:  Nat Rev Urol       Date:  2010-06-22       Impact factor: 14.432

4.  Learning Curve in Robot-Assisted Laparoscopic Liver Resection.

Authors:  Peng Zhu; Wei Liao; Ze-Yang Ding; Lin Chen; Wan-Guang Zhang; Bi-Xiang Zhang; Xiao-Ping Chen
Journal:  J Gastrointest Surg       Date:  2018-11-07       Impact factor: 3.452

5.  The learning curve in pure laparoscopic donor right hepatectomy: a cumulative sum analysis.

Authors:  Suk Kyun Hong; Kyung-Suk Suh; Kyung Chul Yoon; Jeong-Moo Lee; Jae-Hyung Cho; Nam-Joon Yi; Kwang-Woong Lee
Journal:  Surg Endosc       Date:  2019-02-15       Impact factor: 4.584

6.  Ultrasound liver map technique for laparoscopic liver resections: perioperative outcomes are not impaired by technical complexity.

Authors:  Alessandro Ferrero; Nadia Russolillo; Serena Langella; Fabio Forchino; Matteo Stasi; Federico Fazio; Roberto Lo Tesoriere
Journal:  Updates Surg       Date:  2019-03-27

7.  Accelerated learning curve for colorectal resection, open versus laparoscopic approach, can be attained with expert supervision.

Authors:  T Maeda; K Y Tan; Fumio Konishi; S Tsujinaka; K Mizokami; J Sasaki; Y J Kawamura
Journal:  Surg Endosc       Date:  2010-05-05       Impact factor: 4.584

8.  The learning curve of laparoscopic liver resection after the Louisville statement 2008: Will it be more effective and smooth?

Authors:  Chung-Wei Lin; Tzu-Jung Tsai; Tsung-Yen Cheng; Hung-Kuang Wei; Chen-Fang Hung; Yin-Yin Chen; Chii-Ming Chen
Journal:  Surg Endosc       Date:  2015-10-20       Impact factor: 4.584

9.  Characterizing the learning curve of a virtual intracorporeal suturing simulator VBLaST-SS©.

Authors:  Yaoyu Fu; Lora Cavuoto; Di Qi; Karthikeyan Panneerselvam; Venkata Sreekanth Arikatla; Andinet Enquobahrie; Suvranu De; Steven D Schwaitzberg
Journal:  Surg Endosc       Date:  2019-09-03       Impact factor: 4.584

Review 10.  Learning curve for transanal endoscopic microsurgery: a single-center experience.

Authors:  Antonio Maya; Andrew Vorenberg; Myrian Oviedo; Giovanna da Silva; Steven D Wexner; Dana Sands
Journal:  Surg Endosc       Date:  2013-12-24       Impact factor: 4.584

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