Clinical Database of Colorectal Robotic Surgery
ROBOT CR
French Prospective Clinical Database of Colorectal Robotic Surgery
1 other identifier
observational
1,800
1 country
4
Brief Summary
Evaluation of robot Da Vinci Xi by determining its learning curve.The operating time will be defined by patient then the operating average will be calculated.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2018
Longer than P75 for all trials
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 13, 2018
CompletedFirst Submitted
Initial submission to the registry
July 4, 2019
CompletedFirst Posted
Study publicly available on registry
July 9, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 9, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
June 9, 2027
ExpectedFebruary 12, 2025
February 1, 2025
4 years
July 4, 2019
February 11, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Collection of clinical data following surgery with robotic assistance in colorectal pathologies
3 years
Secondary Outcomes (14)
Time of learning for each surgical technique by determining a learning curve for each of them
3 years
The conversion rate of surgical technique
3 years
Operating time
3 years
Intraoperative complications rate
3 years
Duration of hospital stay
1 month
- +9 more secondary outcomes
Study Arms (1)
clinical database
Interventions
Constitution of a prospective, multicenter clinical database of surgery with robotic assistance in colorectal pathologies
Eligibility Criteria
Colorectal tumor, Crohn's disease, Polyposis, Ulcerative colitis, Diverticulitis, Rectal prolapse, Benign colorectal tumor
You may qualify if:
- Male or female ≥ 18 years
- Colorectal pathologies (Crohn's disease, Polyposis, Ulcerative colitis, Diverticulitis, Colorectal tumor, Rectal prolapse, Benign and colorectal tumor) eligible for robotic surgery.
- Major techniques: right and left colectomy, rectal excision (low anterior resection, intersphincteric resection, abdominoperineal resection), Hartman reversal
- Or, Minor techniques: rectopexy, shaving for rectal endometriosis,
- Or, Complex techniques: extended rectal excision for T4 cancer, pelvectomy, redo surgery.
- Patient affiliated to a social security regimen
- Patient information for study
You may not qualify if:
- Legal incapacity or physical, psychological social or geographical status interfering with the patient's ability to agree to participate in the study
- Patient under tutelage, curatorship or safeguard of justice
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (4)
CHU de Bordeaux
Bordeaux, Gironde, 33600, France
Institut régional du cancer de Montpellier
Montpellier, Hérault, 34298, France
CHU de Clermont-Ferrand
Clermont-Ferrand, Puy De Dôme, 63103, France
CHU de Lyon
Lyon, Rhône, 69310, France
Related Publications (11)
Colombo PE, Bertrand MM, Alline M, Boulay E, Mourregot A, Carrere S, Quenet F, Jarlier M, Rouanet P. Robotic Versus Laparoscopic Total Mesorectal Excision (TME) for Sphincter-Saving Surgery: Is There Any Difference in the Transanal TME Rectal Approach? : A Single-Center Series of 120 Consecutive Patients. Ann Surg Oncol. 2016 May;23(5):1594-600. doi: 10.1245/s10434-015-5048-4. Epub 2015 Dec 29.
PMID: 26714950BACKGROUNDBertrand MM, Colombo PE, Mourregot A, Traore D, Carrere S, Quenet F, Rouanet P. Standardized single docking, four arms and fully robotic proctectomy for rectal cancer: the key points are the ports and arms placement. J Robot Surg. 2016 Jun;10(2):171-4. doi: 10.1007/s11701-015-0551-y. Epub 2015 Dec 8.
PMID: 26645073BACKGROUNDNagtegaal ID, van de Velde CJ, van der Worp E, Kapiteijn E, Quirke P, van Krieken JH; Cooperative Clinical Investigators of the Dutch Colorectal Cancer Group. Macroscopic evaluation of rectal cancer resection specimen: clinical significance of the pathologist in quality control. J Clin Oncol. 2002 Apr 1;20(7):1729-34. doi: 10.1200/JCO.2002.07.010.
PMID: 11919228BACKGROUNDChen SL, Steele SR, Eberhardt J, Zhu K, Bilchik A, Stojadinovic A. Lymph node ratio as a quality and prognostic indicator in stage III colon cancer. Ann Surg. 2011 Jan;253(1):82-7. doi: 10.1097/SLA.0b013e3181ffa780.
PMID: 21135690BACKGROUNDZhang X, Wei Z, Bie M, Peng X, Chen C. Robot-assisted versus laparoscopic-assisted surgery for colorectal cancer: a meta-analysis. Surg Endosc. 2016 Dec;30(12):5601-5614. doi: 10.1007/s00464-016-4892-z. Epub 2016 Jul 11.
PMID: 27402096BACKGROUNDParc Y, Reboul-Marty J, Lefevre JH, Shields C, Chafai N, Tiret E. Factors influencing mortality and morbidity following colorectal resection in France. Analysis of a national database (2009-2011). Colorectal Dis. 2016 Feb;18(2):205-13. doi: 10.1111/codi.13099.
PMID: 26299627BACKGROUNDBege T, Lelong B, Esterni B, Turrini O, Guiramand J, Francon D, Mokart D, Houvenaeghel G, Giovannini M, Delpero JR. The learning curve for the laparoscopic approach to conservative mesorectal excision for rectal cancer: lessons drawn from a single institution's experience. Ann Surg. 2010 Feb;251(2):249-53. doi: 10.1097/SLA.0b013e3181b7fdb0.
PMID: 20040854BACKGROUNDPoloniecki J, Valencia O, Littlejohns P. Cumulative risk adjusted mortality chart for detecting changes in death rate: observational study of heart surgery. BMJ. 1998 Jun 6;316(7146):1697-700. doi: 10.1136/bmj.316.7146.1697.
PMID: 9614015BACKGROUNDGuend H, Widmar M, Patel S, Nash GM, Paty PB, Guillem JG, Temple LK, Garcia-Aguilar J, Weiser MR. Developing a robotic colorectal cancer surgery program: understanding institutional and individual learning curves. Surg Endosc. 2017 Jul;31(7):2820-2828. doi: 10.1007/s00464-016-5292-0. Epub 2016 Nov 4.
PMID: 27815742BACKGROUNDBokhari MB, Patel CB, Ramos-Valadez DI, Ragupathi M, Haas EM. Learning curve for robotic-assisted laparoscopic colorectal surgery. Surg Endosc. 2011 Mar;25(3):855-60. doi: 10.1007/s00464-010-1281-x. Epub 2010 Aug 24.
PMID: 20734081BACKGROUNDBolsin S, Colson M. The use of the Cusum technique in the assessment of trainee competence in new procedures. Int J Qual Health Care. 2000 Oct;12(5):433-8. doi: 10.1093/intqhc/12.5.433.
PMID: 11079224BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Philippe Rouanet, MD
Institut régional du cancer de Montpellier
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- PROSPECTIVE
- Target Duration
- 5 Years
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 4, 2019
First Posted
July 9, 2019
Study Start
June 13, 2018
Primary Completion
June 9, 2022
Study Completion (Estimated)
June 9, 2027
Last Updated
February 12, 2025
Record last verified: 2025-02
Data Sharing
- IPD Sharing
- Will not share