Literature DB >> 23503936

Learning curve for laparoscopic staging of early and locally advanced cervical and endometrial cancer.

Morva Tahmasbi Rad1, Markus Wallwiener, Joachim Rom, Christof Sohn, Michael Eichbaum.   

Abstract

BACKGROUND: Laparoscopic staging is rapidly evolving as an important surgical approach in the field of gynecology oncology. However, the specific learning curve associated with this approach remains poorly investigated. This study aimed to evaluate the learning curve for laparoscopic staging of uterine cancers.
METHODS: A series of 28 consecutive laparoscopic hysterectomies with or without pelvic and/or para-aortic lymph node sampling for the treatment of early and locally advanced endometrial or cervical cancer were performed between July 2008 and January 2011. The analyses of the learning curves of the institution were performed for 20 patients who had undergone pelvic lymphadenectomy and/or para-aortal lymph node sampling. The learning curve period has also been compared with the last 26 patients who received laparotomy staging ("open" group) due to the same diagnosis and by the same surgical team. To assess the short- and long-term outcomes, we used validated questionnaires to record the clinical and follow-up results, any complaints or subjective reports from the patients, and details of their quality of life. All data were collected prospectively in a database and reviewed retrospectively. The learning was evaluated using the cumulative sum (CUSUM) method.
RESULTS: The CUSUM learning curve consisted of two distinct phases: phase 1 (the initial 9 cases) and phase 2 (the subsequent cases) which presented the mastery phase, with the operative time of 397.7 ± 63.5 versus 300.6 ± 19.4 min (p < 0.0001). The significance of the difference between the two phases and "open" group changed in terms of number of lymph nodes retrieved, intra-operative blood loss and hospital stay. The conversion rate of phase 1 was higher than phase 2 [2 (22.2 %) respectively 1 (9 %)].
CONCLUSIONS: This series confirms previous study findings concerning the feasibility and the safety of laparoscopic staging and provides information for surgeons in single centers considering adopting an endoscopic strategy to monitor the different aspects of outcomes during the implementation process for internal benchmarking. The operative outcome of laparoscopic staging intervention improves with experience. The data reported in this article suggest that after a learning curve of 9 patients, a relevant improvement at least regarding the duration of the operation can be achieved for experienced surgeons who start performing laparoscopic staging of uterine cancers. However, due to the limited number of patients as well as number of para-aortic lymph node sampling procedures, further studies are required for firm conclusions to be drawn.

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Mesh:

Year:  2013        PMID: 23503936      PMCID: PMC3742954          DOI: 10.1007/s00404-013-2787-y

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.344


  23 in total

Review 1.  Assessment of the learning curve in health technologies. A systematic review.

Authors:  C R Ramsay; A M Grant; S A Wallace; P H Garthwaite; A F Monk; I T Russell
Journal:  Int J Technol Assess Health Care       Date:  2000       Impact factor: 2.188

2.  Problems with technical equipment during laparoscopic surgery. An observational study.

Authors:  E G G Verdaasdonk; L P S Stassen; M van der Elst; T M Karsten; J Dankelman
Journal:  Surg Endosc       Date:  2006-11-21       Impact factor: 4.584

3.  Laparoscopically assisted vaginal hysterectomy in a patient with micro-invasive cervical cancer after two liver transplantations.

Authors:  Morva Tahmasbi Rad; Markus Wallwiener; Peter Schemmer; Sarah Schott; Christof Sohn; Joachim Rom; Michael Eichbaum
Journal:  J Obstet Gynaecol Can       Date:  2012-04

4.  The cusum plot: its utility in the analysis of clinical data.

Authors:  H Wohl
Journal:  N Engl J Med       Date:  1977-05-05       Impact factor: 91.245

5.  Learning curve for robot-assisted Roux-en-Y gastric bypass.

Authors:  Nicolas C Buchs; François Pugin; Pascal Bucher; Monika E Hagen; Gilles Chassot; Pascale Koutny-Fong; Philippe Morel
Journal:  Surg Endosc       Date:  2011-11-02       Impact factor: 4.584

6.  Defining the learning curve in laparoscopic paraesophageal hernia repair: a CUSUM analysis.

Authors:  Allan Okrainec; Lorenzo E Ferri; Liane S Feldman; Gerald M Fried
Journal:  Surg Endosc       Date:  2010-09-11       Impact factor: 4.584

Review 7.  Cervical cancer.

Authors:  Pierre Leonard Martin-Hirsch; Nicholas James Wood
Journal:  BMJ Clin Evid       Date:  2011-07-27

8.  Cancer statistics, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012-01-04       Impact factor: 508.702

9.  Laparoscopic surgery in women with endometrial cancer: the learning curve.

Authors:  Zdenek Holub; Antonín Jabor; Pavel Bartos; Jan Hendl; Stepán Urbánek
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2003-04-25       Impact factor: 2.435

10.  Learning curve for robotic-assisted laparoscopic colorectal surgery.

Authors:  Malak B Bokhari; Chirag B Patel; Diego I Ramos-Valadez; Madhu Ragupathi; Eric M Haas
Journal:  Surg Endosc       Date:  2010-08-24       Impact factor: 4.584

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  2 in total

1.  Laparoscopic vs. Open Abdominal Radical Hysterectomy for Cervical Cancer: A Single-Institution, Propensity Score Matching Study in China.

Authors:  Zhen Yuan; Dongyan Cao; Jie Yang; Mei Yu; Keng Shen; Jiaxin Yang; Ying Zhang; Huimei Zhou
Journal:  Front Oncol       Date:  2019-10-30       Impact factor: 6.244

2.  Could Adjuvant Chemotherapy Improve Prognosis for Cervical Cancer Patients with Elevated Pretreatment Serum Squamous-Cell Carcinoma Antigen?

Authors:  Zhen Yuan; Dongyan Cao; Ying Zhang; Keng Shen; Jiaxin Yang; Mei Yu; Huimei Zhou
Journal:  Risk Manag Healthc Policy       Date:  2021-01-11
  2 in total

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