Evidence map›Paper›PMID 40291479›Full record

SynthesisJSLS : Journal of the Society of Laparoendoscopic Surgeons

Enhancing Surgical Robotic Skills Through Performance-Guided Training: A Swimmer's Approach for Defining Key Metrics.

Jeanne Dahmen, Yike Xu, Jeffrey P Spalazzi, Edward Chekan

Abstract readSystematic Review
In one paragraph

Synthesis in JSLS : Journal of the Society of Laparoendoscopic Surgeons. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Author's Response to "Acronyms by Any Other Name".JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Article
  4. Acronyms by any other name.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jeanne DahmenSwimming and Diving, Texas Christian University, Fort Worth, TX, USA. (Jeanne Dahmen).
Yike XuMedical Affairs, Asensus Surgical, Durham, NC, USA. (Xu, Spalazzi, and Chekan).
Jeffrey P SpalazziMedical Affairs, Asensus Surgical, Durham, NC, USA. (Xu, Spalazzi, and Chekan).
Edward ChekanMedical Affairs, Asensus Surgical, Durham, NC, USA. (Xu, Spalazzi, and Chekan).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In swimming, a combination of strength, endurance, and targeted skill training significantly enhances performance, particularly by balancing aerobic and anaerobic conditioning. Similarly, in surgery, improving motor control and stamina during lengthy operations, particularly for precise movements like suturing or tissue manipulation, is essential. This literature review aims to explore the parallels between the training paradigms of elite swimming and robotic-assisted surgical practice, focusing on skill acquisition, training methodologies, and performance-guided feedback systems. The hypothesis suggests a significant link between these training principles, offering opportunities to optimize surgeon training, particularly in robotic-assisted surgery. Database: A systematic review was conducted following PRISMA guidelines. A thorough examination of existing literature in both elite swimming and robotic-assisted surgery training identified key elements of skill development, feedback mechanisms, and structured progression. Sources included peer-reviewed studies on swimming techniques, cognitive training in surgery, and simulation-based training programs that emphasize performance-driven improvements. Conclusion: The review identified significant parallels between swimming and robotic-assisted surgery training, with both fields emphasizing structured, feedback-driven approaches to enhance precision and skill. Techniques such as video analysis in swimming and real-time digital feedback in surgery were found to be effective in improving outcomes. Simulation-based training also plays a crucial role in refining skills and promoting adaptability in both disciplines. Applying elite swimming methodologies, particularly those centered on feedback, precision, and structured progression, could help develop key metrics to enhance surgical training programs, in robotic-assisted surgery. Future research could further optimize surgeon training, potentially leading to improved performance and better patient outcomes in robotic procedures.

Indexed as

Clinical CompetenceRobotic Surgical ProceduresSimulation TrainingSwimmingHumansFeedback mechanismsMotor controlPerformance-guided trainingPrecision trainingRobotic SurgerySimulation-based trainingSkill acquisitionSurgical educationSwimmingVideo analysis

Identifiers

PMID40291479
PMCPMC12021257

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.