Literature DB >> 17545347

Quality control of surgical and interventional procedures: a review of the CUSUM.

David J Biau1, Mathieu Resche-Rigon, Gaëlle Godiris-Petit, Rémy S Nizard, Raphaël Porcher.   

Abstract

BACKGROUND: The report of the CUSUM across surgical and interventional procedures has spawned a fair confusion in the literature. AIM: To assess the use of the CUSUM and to clarify its utilisation in the perspective of future studies. Nature of the study: Retrospective review.
METHODS: A systematic literature search of Medline was carried out. From each article, data regarding the design of the study, the specialty, the performance criterion, the unit under control, the methodology and the model of the CUSUM used, the use of a graph, the use of a test and the type of test applied were retrieved.
RESULTS: 31 studies were found relevant. The design was mainly retrospective for the analysis of the learning curve. The main performance criteria under control were morbidity, mortality and success of the procedure. A graph was plotted in all studies as a CUSUM plot or as cumulative sums of non-negative values. A test was used in 17 studies. Mislabelling of the plot and the test, and misuse of control limits were the most commonly reported mistakes.
CONCLUSION: The CUSUM tool is not yet properly reported in the surgical literature. Therefore, reporting of the CUSUM should be clarified and standardised before its use widens.

Mesh:

Year:  2007        PMID: 17545347      PMCID: PMC2464981          DOI: 10.1136/qshc.2006.020776

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  42 in total

1.  Good practice in head and neck fine needle aspiration cytology as assessed by CUSUM.

Authors:  I A Robinson; R B Blackham; N J Cozens; J Sharp
Journal:  Cytopathology       Date:  2002-12       Impact factor: 2.073

Review 2.  Randomised trials in surgery: problems and possible solutions.

Authors:  Peter McCulloch; Irving Taylor; Mitsuru Sasako; Bryony Lovett; Damian Griffin
Journal:  BMJ       Date:  2002-06-15

3.  Assessment of surgical competence in parotid surgery using a CUSUM assessment tool.

Authors:  J F Sharp; N Cozens; I Robinson
Journal:  Clin Otolaryngol Allied Sci       Date:  2003-06

4.  The construction of learning curves for basic skills in anesthetic procedures: an application for the cumulative sum method.

Authors:  Getúlio Rodrigues de Oliveira Filho
Journal:  Anesth Analg       Date:  2002-08       Impact factor: 5.108

5.  Cumulative sum failure analysis of a policy change from on-pump to off-pump coronary artery bypass grafting.

Authors:  R J Novick; S A Fox; L W Stitt; S A Swinamer; K R Lehnhardt; R Rayman; W D Boyd
Journal:  Ann Thorac Surg       Date:  2001-09       Impact factor: 4.330

6.  Use of risk-adjusted CUSUM and RSPRT charts for monitoring in medical contexts.

Authors:  O A Grigg; V T Farewell; D J Spiegelhalter
Journal:  Stat Methods Med Res       Date:  2003-03       Impact factor: 3.021

7.  Effect of off-pump coronary artery bypass grafting on risk-adjusted and cumulative sum failure outcomes after coronary artery surgery.

Authors:  Richard J Novick; Stephanie A Fox; Larry W Stitt; Bob B Kiaii; Walid Abu-Khudair; Alex Lee; Anas Benmusa; Stuart A Swinamer; Reiza Rayman; Alan H Menkis; F Neil McKenzie; Mackenzie A Quantz; W Douglas Boyd
Journal:  J Card Surg       Date:  2002 Nov-Dec       Impact factor: 1.620

8.  A CUSUM analysis of ruptured abdominal aortic aneurysm repair.

Authors:  Thomas L Forbes; Guy De Rose; Kenneth A Harris
Journal:  Ann Vasc Surg       Date:  2002-09-04       Impact factor: 1.466

9.  Risk-adjusted sequential probability ratio tests: applications to Bristol, Shipman and adult cardiac surgery.

Authors:  David Spiegelhalter; Olivia Grigg; Robin Kinsman; Tom Treasure
Journal:  Int J Qual Health Care       Date:  2003-02       Impact factor: 2.038

10.  Learning curve of coronary surgery by a cardiac surgeon in Japan with the use of cumulative sum analysis.

Authors:  Min-Ho Song; Kazuyoshi Tajima; Takashi Watanabe; Toshiaki Ito
Journal:  Jpn J Thorac Cardiovasc Surg       Date:  2005-10
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  26 in total

1.  Prior experience in laparoscopic rectal surgery can minimise the learning curve for robotic rectal resections: a cumulative sum analysis.

Authors:  Manfred Odermatt; Jamil Ahmed; Sofoklis Panteleimonitis; Jim Khan; Amjad Parvaiz
Journal:  Surg Endosc       Date:  2017-03-07       Impact factor: 4.584

2.  Using the CUSUM test to control the proportion of inadequate open biopsies of musculoskeletal tumors.

Authors:  David J Biau; Kurt R Weiss; Rej S Bhumbra; Darin Davidson; Chris Brown; Jay S Wunder; Peter C Ferguson
Journal:  Clin Orthop Relat Res       Date:  2013-03       Impact factor: 4.176

3.  CRS and HIPEC for PMP-Use of the LC-CUSUM to Determine the Number of Procedures Required to Attain a Minimal Level of Proficiency in Delivering the Combined Modality Treatment.

Authors:  Aditi Bhatt; Antony George; Sanket Mehta
Journal:  Indian J Surg Oncol       Date:  2017-08-12

4.  Convergent validation and transfer of learning studies of a virtual reality-based pattern cutting simulator.

Authors:  Arun Nemani; Woojin Ahn; Clairice Cooper; Steven Schwaitzberg; Suvranu De
Journal:  Surg Endosc       Date:  2017-08-15       Impact factor: 4.584

5.  Prognostic value of MRI in assessing extramural venous invasion in rectal cancer: multi-readers' diagnostic performance.

Authors:  Jae Seok Bae; Se Hyung Kim; Bo Yun Hur; Won Chang; Juil Park; Hye Eun Park; Jung Ho Kim; Hyo-Jin Kang; Mi Hye Yu; Joon Koo Han
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

6.  Looking for a Learning Curve in EVAR Based on the Zenith Stent Graft.

Authors:  Manfred Kalteis; Peter Benedikt; Florian Huber; Florian Haller; Manfred Kastner; Herbert Lugmayr
Journal:  Int J Angiol       Date:  2012-12

7.  Validation of the VBLaST pattern cutting task: a learning curve study.

Authors:  Ali M Linsk; Kimberley R Monden; Ganesh Sankaranarayanan; Woojin Ahn; Daniel B Jones; Suvranu De; Steven D Schwaitzberg; Caroline G L Cao
Journal:  Surg Endosc       Date:  2017-10-19       Impact factor: 4.584

8.  A machine learning approach to predict surgical learning curves.

Authors:  Yuanyuan Gao; Uwe Kruger; Xavier Intes; Steven Schwaitzberg; Suvranu De
Journal:  Surgery       Date:  2019-11-18       Impact factor: 3.982

9.  Characterizing the learning curve of the VBLaST-PT(©) (Virtual Basic Laparoscopic Skill Trainer).

Authors:  Likun Zhang; Ganesh Sankaranarayanan; Venkata Sreekanth Arikatla; Woojin Ahn; Cristol Grosdemouge; Jesse M Rideout; Scott K Epstein; Suvranu De; Steven D Schwaitzberg; Daniel B Jones; Caroline G L Cao
Journal:  Surg Endosc       Date:  2013-04-10       Impact factor: 4.584

10.  Monitoring Personalized Learning Curves for Emergency Ultrasound With Risk-adjusted Learning-curve Cumulative Summation Method.

Authors:  Olivier Peyrony; Léa Legay; Ivonne Morra; Anne Verrat; Hélène Milacic; Jessica Franchitti; Jihed Amami; Ariane Gillet; Kouchiar Azarnoush; Arben Elezi; Adélia Bragança; Pierre Taboulet; Pierre Bourrier; Jean-Paul Fontaine; Matthieu Resche-Rigon
Journal:  AEM Educ Train       Date:  2017-11-22
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