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Spots Global Cancer Trial Database for National Robotics-Assisted Radical Prostatectomy Database

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Trial Identification

Brief Title: National Robotics-Assisted Radical Prostatectomy Database

Official Title: National Robotics Radical Prostatectomy Database: Exploring Learning Curves and Long Term Surgical, Oncological and Patient Reported Outcomes

Study ID: NCT06279260

Interventions

Study Description

Brief Summary: Surgical notes are detailed reports written by surgeons during and after surgeries. These notes cover everything from the techniques, instruments used, any issues with the surgical procedure and post-surgical care for the patient. This information is a treasure trove for researchers because they can study it to understand how surgeries go, what works best, and how certain treatments affect patients. By looking closely at these notes, researchers can find patterns and trends, helping them in understanding what makes surgeries successful and identify the best ways to perform them. This information is crucial for creating guidelines based on solid evidence. Also, these surgical notes are a goldmine for looking back at past surgeries to see how they have affected patients in the long run. The real power for research comes when we combine these surgical notes within the Electronic Medical Records (EMR) and research databases. This makes it easy to collect information systematically, making it simpler for researchers to study a large number of cases. Unfortunately, not many people have paid attention to this idea for a long time, leading to big gaps in the data collection. To address this issue, we aim to create a database that collects information from surgical notes effortlessly. This includes details about how surgeons are trained and how they progress. It's important to make sure that doctors work aligns with research - which is the best way to address data collection issues. This data can also help record different technical aspects of surgery and different surgeons' learning curve, making it easier to compare and improve training. Thus, we aim to standardise notes that are the same across different hospitals conducting robotic-assisted surgeries for prostatectomy.

Detailed Description: The present study aims to model integration of clinical workflow data from Electronic Medical Records (EMR) to a research database using REDCap platform to enhance Prostate Cancer (PCa) research. The objectives of the Victorian Robotic-assisted Radical Prostatectomy database are: 1. Collect functional outcomes from the PROMs, using the Expanded Prostate Cancer Index Composite (EPIC)-26 questionnaire at baseline (pre-surgery), 4 weeks, 6 months, 12 months, 24 months and 36 months post-surgery. 2. Gather detailed insights into surgical measures in terms of demographics, operative and post-operative characteristics. 1. Operative characteristics will include: Protein-Specific Antigen (PSA) at surgery, surgery Gleason score, International Society of Urological Pathologists (ISUP) grade group, pathological T score, scans at surgery, amount of blood loss, operation duration, type of anesthesia, survival status, mortality, surgical margins and pain score. 2. Post-operative characteristics will include: length of hospital stay, duration of catheter use, complications (if any) and reasons of readmission (if any). 3. Collect the oncological measures in terms of biochemical recurrence and margin status. 4. Track the progress of surgeons learning curve by comparing the surgeons' training data with Patient Reported Outcome Measures (PROM).

Keywords

Eligibility

Minimum Age: 16 Years

Eligible Ages: CHILD, ADULT, OLDER_ADULT

Sex: MALE

Healthy Volunteers: No

Locations

Austin Healthcare, Melbourne, Victoria, Australia

E.J Whitten Prostate Cancer Centre, Epworth Healthcare, Melbourne, Victoria, Australia

St. Vincent's Private Hospital, Melbourne, Victoria, Australia

Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia

Royal Melbourne Hospital, Melbourne, Victoria, Australia

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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