ReviewAdvances in medical education and practice2020
Simulation Training in Urology: State of the Art and Future Directions.
Review in Advances in medical education and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
- Quality over quantity: early performance predicts suturing proficiency in robotic surgery simulation.Journal of robotic surgery · 2026Observational
- Robotic simulation in urology training: implementation, curricula, and barriers across U.S. residency programs.Journal of robotic surgery · 2025Article
- Urology Training in sub-Saharan Africa: A Survey of Training Directors.Ethiopian journal of health sciences · 2024Article
- The role of 3D technology in the practical education of congenital coarctation and its treatment-a feasibility pilot study.BMC medical education · 2024Article
- Development and validation of a simulation training platform for the ligation of deep dorsal vein complex in radical prostatectomy.Frontiers in oncology · 2024Article
- Gaze behavior is related to objective technical skills assessment during virtual reality simulator-based surgical training: a proof of concept.International journal of computer assisted radiology and surgery · 2023Article
- Urology boot camp for medical students: Using virtual technology to enhance undergraduate education.BJUI compass · 2023Article
- Advancing Urology Resident Surgical Autonomy.Current urology reports · 2023Review
- Remote surgical education using synthetic models combined with an augmented reality headset.Surgery open science · 2022Article
- Simulation-based education in urology - an update.Therapeutic advances in urologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been a major shift from the old paradigm of 'see one, do one, teach one' in medical training due in large part to resident work-hour restrictions and required oversight in the operating room. In response to this, advancements in technology have allowed for the introduction of more objective measures to assess the skill competency and proficiency of surgical trainees. Patient safety and trainee well-being are important drivers for this new model, and so surgical training programs are adopting simulation into their curriculum. Urology is uniquely positioned at the forefront of new emerging technologies in surgery, because of the field's commitment to safe and efficient minimally invasive surgery and endourological procedures. Due to these technically challenging procedures, urological training must incorporate these educational technologies to allow for objective skills assessment, skills transfer, and ultimately providing optimal patient care with the production of proficient and competent urological trainees.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.