ReviewCurrent urology reports2023
Residency Surgical BPH Training Paradigms from MIST to HOLEP.
Review in Current urology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Simulation-based training in minimally invasive surgical therapies (MIST): current evidence and future directions for artificial intelligence integration-a systematic review by EAU endourology.World journal of urology · 2025Pooled it
- Hospital caseload thresholds for improved perioperative outcomes during transurethral resection or enucleation of the prostate: results from the GRAND study.World journal of urology · 2026Article
- Endoscopic simulators in benign prostatic hyperplasia surgical training: a scoping review.Prostate cancer and prostatic diseases · 2025Review
- Comparing outcomes of Aquablation versus holmium laser enucleation of prostate in the treatment of benign prostatic hyperplasia: A network meta-analysis.BJUI compass · 2024Review
- Transurethral resection and other minimally invasive treatment options for BPH: would we treat ourselves as we treat our patients? Results from EAU Section of Uro-Technology (ESUT) decision-making survey among urologists.Central European journal of urology · 2024Article
- Overview of Benchtop Models for Comparison of Surgical Treatments for Benign Prostatic Hyperplasia.Current urology reports · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewBenign prostatic hyperplasia (BPH) is a common medical condition of older men that often requires medical or surgical therapy. Surgical options for BPH have grown exponentially over the last two decades. The numerous options and/or lack of access to them can make it challenging for new trainees to gain proficiency. We examine the literature for available BPH surgical simulators, learning curves, and training pathways. RECENT
findingsEach BPH surgical therapy has a learning curve which must be overcome. There is an abundance of TURP simulators which have shown face, content, and construct validity in the literature. Similarly, laser therapies have validated simulators. Newer technologies do have available simulators, but they have not been validated. There are strategies to improve learning and outcomes, such as having a structured training program. Simulators are available for BPH surgical procedures and some have been implemented in urology residencies. It is likely that such simulation may make urologists more facile on their learning curves for newer technologies. Further studies are needed. Future directions may include integration of simulator technology into training pathways that include surgical observation and proctorship.
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.