Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add more filters










Database
Language
Publication year range
1.
Int J Surg ; 109(7): 2037-2057, 2023 Jul 01.
Article in English | MEDLINE | ID: mdl-37132184

ABSTRACT

BACKGROUND: Urology has been at the forefront of adopting laparoscopic and robot-assisted techniques to improve patient outcomes. This systematic review aimed to examine the literature relating to the learning curves of major urological robotic and laparoscopic procedures. METHODS: In accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a systematic literature search strategy was employed across PubMed, EMBASE, and the Cochrane Library from inception to December 2021, alongside a search of the grey literature. Two independent reviewers completed the article screening and data extraction stages using the Newcastle-Ottawa Scale as a quality assessment tool. The review was reported in accordance with AMSTAR (A MeaSurement Tool to Assess systematic Reviews) guidelines. RESULTS: Of 3702 records identified, 97 eligible studies were included for narrative synthesis. Learning curves are mapped using an array of measurements including operative time (OT), estimated blood loss, complication rates as well as procedure-specific outcomes, with OT being the most commonly used metric by eligible studies. The learning curve for OT was identified as 10-250 cases for robot-assisted laparoscopic prostatectomy and 40-250 for laparoscopic radical prostatectomy. The robot-assisted partial nephrectomy learning curve for warm ischaemia time is 4-150 cases. No high-quality studies evaluating the learning curve for laparoscopic radical cystectomy and for robotic and laparoscopic retroperitoneal lymph node dissection were identified. CONCLUSION: There was considerable variation in the definitions of outcome measures and performance thresholds, with poor reporting of potential confounders. Future studies should use multiple surgeons and large sample sizes of cases to identify the currently undefined learning curves for robotic and laparoscopic urological procedures.


Subject(s)
Laparoscopy , Robotic Surgical Procedures , Robotics , Urology , Male , Humans , Robotics/methods , Urology/methods , Learning Curve , Laparoscopy/methods , Treatment Outcome
3.
Surg Endosc ; 35(8): 4183-4191, 2021 08.
Article in English | MEDLINE | ID: mdl-32851466

ABSTRACT

BACKGROUND: Unsteady camera movement and poor visualization contribute to a difficult learning curve for laparoscopic surgery. Remote-controlled camera holders (RCHs) aim to mitigate these factors and may be used to overcome barriers to learning. Our aim was to evaluate performance benefits to laparoscopic skill acquisition in novices using a RCH. METHODS: Novices were randomized into groups using a human camera assistant (HCA) or the FreeHand v1.0 RCH and trained in the (E-BLUS) curriculum. After completing training, a surgical workload questionnaire (SURG-TLX) was issued to participants. RESULTS: Forty volunteers naïve in laparoscopic skill were randomized into control and intervention groups (n = 20) with intention-to-treat analysis. Each participant received up to 10 training sessions using the E-BLUS curriculum. Competency was reached in the peg transfer task in 5.5 and 7.6 sessions for the ACH and HCA groups, respectively (P = 0.015), and 3.6 and 6.8 sessions for the laparoscopic suturing task (P = 0.0004). No significance differences were achieved in the circle cutting (P = 0.18) or needle guidance tasks (P = 0.32). The RCH group experienced significantly lower workload (P = 0.014) due to lower levels of distraction (P = 0.047). CONCLUSIONS: Remote-controlled camera holders have demonstrated the potential to significantly benefit intra-operative performance and surgical experience where camera movement is minimal. Future high-quality studies are needed to evaluate RCHs in clinical practice. TRIAL REGISTRATION: ISRCTN 83733979.


Subject(s)
Clinical Competence , Laparoscopy , Curriculum , Humans , Learning Curve , Workload
4.
Med Teach ; 43(6): 637-641, 2021 06.
Article in English | MEDLINE | ID: mdl-33073656

ABSTRACT

Surgery is a highly competitive specialty that offers a wide range of subspecialties. The presence of surgical education and rotations in the medical school curriculum is often lacking, and for this reason many medical students have little experience of surgery during their time in medical school. This paper presents twelve tips for medical students who are interested in pursuing a career in surgery, offering different ways of exposure into activities related to surgical care. Understanding the practice of surgery and self-reflecting on one's personality and suitability for a career in surgery are key. Moreover, surgical care is not only limited to the surgeon's table-other opportunities to learn more about surgery exist outside of the operating room. Extra-curricular activities in research and leadership are also vital in developing an interest in surgery and competitive edge in medical students.


Subject(s)
Education, Medical, Undergraduate , Students, Medical , Career Choice , Curriculum , Humans , Learning
SELECTION OF CITATIONS
SEARCH DETAIL
...