Evidence map›Paper›PMID 38595831›Full record

ArticleSurgery open science2024

Is the robotic revolution stunting surgical skills?

Damien J Lazar, George S Ferzli

Abstract read
In one paragraph

Article in Surgery open science, 2024. 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. Article
  4. 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

2 authors.

Damien J LazarNew York University Langone Health, Department of General Surgery, New York, NY, United States of America.
George S FerzliNew York University Langone Health, Department of General Surgery, New York, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This perspective piece aims to examine the impact of the growing utilization of robotic platforms in general and minimally invasive surgery on surgical trainee experience, skill level, and comfort in performing general surgical and minimally invasive procedures following completion of training. We review current literature and explore the application of robotic surgery to surgical training, where minimum case thresholds and breadth distribution are well defined, and where development of surgical technique is historically gained through delicate tissue handling with haptic feedback rather than relying on visual feedback alone. We call for careful consideration as to how best to incorporate robotics in surgical training in order to embrace technological advances without endangering the surgical proficiency of the surgeons of tomorrow. Key message: The large-scale incorporation of robotics into general and minimally invasive surgical training is something that most, if not all, trainees must grapple with in today's world, and the proportion of robotics is increasing. This shift may significantly negatively affect trainees in terms of surgical skill upon completion of training and must be approached with an appropriate degree of concern and thoughtfulness so as to protect the surgeons of tomorrow.

Indexed as

Minimally invasive surgeryRoboticsRobotic surgerySurgical education

Identifiers

PMID38595831
PMCPMC11002294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.