Trial reportLangenbeck's archives of surgery2016
Sequential learning of psychomotor and visuospatial skills for laparoscopic suturing and knot tying-a randomized controlled trial "The Shoebox Study" DRKS00008668.
Trial report in Langenbeck's archives of surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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
21 citing papers in PubMed.
- Cognitive learning versus practical "hands-on" training for acquisition of laparoscopic surgical skills: an optimal combination study.Surgical endoscopy · 2025Trial
- Structured feedback and operative video debriefing with critical view of safety annotation in training of laparoscopic cholecystectomy: a randomized controlled study.Surgical endoscopy · 2024Trial
- Video-based training of situation awareness enhances minimally invasive surgical performance: a randomized controlled trial.Surgical endoscopy · 2023Trial
- Video-based learning of coping strategies for common errors improves laparoscopy training-a randomized study.Surgical endoscopy · 2023Trial
- One or two trainees per workplace for laparoscopic surgery training courses: results from a randomized controlled trial.Surgical endoscopy · 2019Trial
- Evaluation of App-Based Serious Gaming as a Training Method in Teaching Chest Tube Insertion to Medical Students: Randomized Controlled Trial.Journal of medical Internet research · 2018Trial
- 2D vs. 3D imaging in laparoscopic surgery-results of a prospective randomized trial.Langenbeck's archives of surgery · 2017Trial
- Trial
- Telestration with augmented reality in minimally invasive and robotic-assisted surgery: a scoping review.Surgical endoscopy · 2025Article
- Suturing under tension in minimally invasive surgery: A comparison of three intracorporeal knot types : Philipp RomeroLangenbeck's archives of surgery · 2025Article
- [Robot-assisted surgery as an elective-fascinating lesson(s)?]Der Urologe. Ausg. A · 2022Article
- Ten years of IRCAD, Barretos, SP, Brazil.Acta cirurgica brasileira · 2022Article
- An overview on 3D printing for abdominal surgery.Surgical endoscopy · 2020Review
- Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.Surgical endoscopy · 2019Article
- A prospective study of the effect of video games on robotic surgery skills using the high-fidelity virtual reality RobotiX simulator.Advances in medical education and practice · 2019Article
- Impact of visual-spatial ability on laparoscopic camera navigation training.Surgical endoscopy · 2018Article
- Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon.Surgical endoscopy · 2017Article
- Learning from the surgeon's real perspective - First-person view versus laparoscopic view in e-learning for training of surgical skills? Study protocol for a randomized controlled trial.International journal of surgery protocols · 2017Article
- Study protocol for a randomized controlled trial on a multimodal training curriculum for laparoscopic cholecystectomy - LapTrain.International journal of surgery protocols · 2017Article
- Mastering minimally invasive esophagectomy requires a mentor; experience of a personal mentorship.Annals of medicine and surgery (2012) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLearning curves for minimally invasive surgery are prolonged since psychomotor skills and visuospatial orientation differ from open surgery and must be learned. This study explored potential advantages of sequential learning of psychomotor and visuospatial skills for laparoscopic suturing and knot tying compared to simultaneous learning.
methodsLaparoscopy-naïve medical students were randomized into a sequential learning group (SEQ) or a simultaneous learning group (SIM). SEQ (n = 28) trained on a shoebox with direct 3D view before proceeding on a box trainer with 2D laparoscopic view. SIM (n = 25) trained solely on a box trainer with 2D laparoscopic view. Training time and number of attempts needed were recorded until a clearly defined proficiency level was reached.
resultsGroups were not different in total training time (SEQ 5868.7 ± 2857.2 s; SIM 5647.1 ± 2244.8 s; p = 0.754) and number of attempts to achieve proficiency in their training (SEQ 44.0 ± 17.7; SIM 36.8 ± 15.6; p = 0.123). SEQ needed less training time on the box trainer with 2D laparoscopic view than did SIM (SEQ 4170.9 ± 2350.8 s; SIM 5647.1 ± 2244.8 s; p = 0.024), while the number of attempts here was not different (SEQ 29.9 ± 14.1; SIM 36.8 ± 15.6; p = 0.097). SEQ was faster in the first attempts on the shoebox (281.9 ± 113.1 s) and box trainer (270.4 ± 133.1 s) compared to the first attempt of SIM on the box trainer (579.4 ± 323.8 s) (p < 0.001).
conclusionIn the present study, SEQ was faster than SIM at the beginning of the learning curve. SEQ did not reduce the total training time needed to reach an ambitious proficiency level. However, SEQ needed less training on the box trainer; thus, laparoscopic experience can be gained to a certain extent with a simple shoebox.
Indexed as
Identifiers
27055853What 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.