- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04900558
Robotic Radical Cystectomy Outcomes
May 19, 2021 updated by: Simone Morselli, University of Florence
Impact of Robotic Surgery on Post-operative Outcomes of Patients Who Underwent Radical Cystectomy
Currently, in the treatment of bladder cancer the use of robotics has entered in clinical practice, therefor robotic radical cystectomy with or without reconstruction is offered to patients during counseling procedures, if deemed appropriate and possible.
The aim of the study is therefore the long-term evaluation of the peri-post-operative, oncological and functional results of patients undergoing radical cystectomy, both with an open and robotic approach.
This study will thus help to clarify the actual impact of robotic surgery
Study Overview
Status
Recruiting
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
500
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Simone Morselli, MD
- Phone Number: 3473050852
- Email: simone.morselli.89@gmail.com
Study Contact Backup
- Name: Silvia Benemei, PhD
- Email: silvia.benemei@unifi.it
Study Locations
-
-
Tuscany
-
Florence, Tuscany, Italy, 50134
- Recruiting
- Careggi University Hospital
-
Sub-Investigator:
- Mauro Gacci, MD
-
Sub-Investigator:
- Riccardo Campi, MD
-
Contact:
- Arcangelo Sebastianelli, MD
- Email: arcangelo.sebastianelli@gmail.com
-
Principal Investigator:
- Simone Morselli, MD
-
Sub-Investigator:
- Maria Rosaria Raspollini, MD
-
Principal Investigator:
- Arcangelo Sebastianelli, MD
-
Sub-Investigator:
- Donata Villari, MD
-
Sub-Investigator:
- Graziano Vignolini, MD
-
Sub-Investigator:
- Saverio Giancane, MD
-
Sub-Investigator:
- Pietro Spatafora, MD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
The study population is made up of patients who underwent radical cystectomy at AOU Careggi, SOD Robotic Urological Surgery, Minimally Invasive and Renal Transplantation.
Description
Inclusion Criteria:
- Age major or equal 18 years
- Patients who will undergo radical cystectomy
- Consent to participate
Exclusion Criteria:
- Absence of willingness to participate
- Further refusal to participate to the study
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Radical Cystectomy
Patients who underwent radical cystectomy for bladder cancer in our centre
|
All the patients enrolled have undergone or will undergo radical cystectomy, with or without lymphadenectomy or urethrectomy All possibles urinary diversion are included, like ileal conduit, neobladder etc...
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of participants who will die from bladder cancer
Time Frame: From enrollment to late follow-up, up to 7 years
|
Bladder Cancer Specific Mortality after surgery
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will experience bladder cancer recurrence
Time Frame: From enrollment to late follow-up, up to 7 years
|
Bladder Cancer Recurrence
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will die from all causes
Time Frame: From enrollment to late follow-up, up to 7 years
|
All cause mortality after surgery
|
From enrollment to late follow-up, up to 7 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of participants who will die from bladder cancer after Robotic Surgery
Time Frame: From enrollment to late follow-up, up to 7 years
|
Robotic surgery specific impact on survival
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will experience bladder cancer recurrence after Robotic Surgery
Time Frame: From enrollment to late follow-up, up to 7 years
|
Robotic surgery specific impact on recurrence
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will experience surgical complications after Robotic Surgery
Time Frame: From enrollment to late follow-up, up to 7 years
|
Robotic surgery specific impact on surgical complications
|
From enrollment to late follow-up, up to 7 years
|
Variation in Quality of Life questionnaire after Robotic Surgery
Time Frame: From enrollment to late follow-up, up to 7 years
|
Robotic surgery specific impact on quality of life according to European Organisation for Research and Treatment of Cancer (EORTC) core quality of life questionnaire (QLQ-C30)
|
From enrollment to late follow-up, up to 7 years
|
Variation in Quality of Life questionnaire according to Urinary diversions
Time Frame: From enrollment to late follow-up, up to 7 years
|
Urinary diversion specific impact on quality of life according to European Organisation for Research and Treatment of Cancer (EORTC) core quality of life questionnaire (QLQ-C30)
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will experience surgical complications according to Urinary diversions
Time Frame: From enrollment to late follow-up, up to 7 years
|
Urinary diversion specific impact on surgical complications
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will experience bladder cancer recurrence according to Urinary diversions
Time Frame: From enrollment to late follow-up, up to 7 years
|
Urinary diversion specific impact on bladder cancer recurrence
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will die from bladder cancer according to Urinary diversions
Time Frame: From enrollment to late follow-up, up to 7 years
|
Urinary diversion specific impact on bladder cancer rmortality
|
From enrollment to late follow-up, up to 7 years
|
Number of participants who will die from all causes according to Urinary diversions
Time Frame: From enrollment to late follow-up, up to 7 years
|
Urinary diversion specific impact on all cause mortality after surgery
|
From enrollment to late follow-up, up to 7 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Arcangelo Sebastianelli, MD, Careggi Hospital, University of Florence
- Principal Investigator: Simone Morselli, MD, University of Florence
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
April 29, 2021
Primary Completion (Anticipated)
February 1, 2031
Study Completion (Anticipated)
February 1, 2038
Study Registration Dates
First Submitted
May 3, 2021
First Submitted That Met QC Criteria
May 19, 2021
First Posted (Actual)
May 25, 2021
Study Record Updates
Last Update Posted (Actual)
May 25, 2021
Last Update Submitted That Met QC Criteria
May 19, 2021
Last Verified
May 1, 2021
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 19303_oss
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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