Evidence map›Paper›PMID 38444955›Full record

ReviewSeminars in plastic surgery2023

Robotic Plastic Surgery Education: Developing a Robotic Surgery Training Program Specific to Plastic Surgery Trainees.

Nicholas H Yim, Heather R Burns, Matthew J Davis, Jesse C Selber

Abstract readReview
In one paragraph

Review in Seminars in plastic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Nicholas H YimMichael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas.
Heather R BurnsMichael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas.
Matthew J DavisMichael E. DeBakey Department of Surgery, Division of Plastic Surgery, Baylor College of Medicine, Houston, Texas.
Jesse C SelberDepartment of Plastic Surgery, Corewell Health, Grand Rapids, Michigan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, the surgical community has increasingly embraced robotic-assisted surgery (RAS) due to its potential to enhance accuracy and decrease surgical morbidity. Plastic surgery as a field has been historically slow to incorporate RAS, with lack of adequate training posing as one of the most commonly cited barriers. To date, robot technology has been utilized for various reconstructive procedures including flap elevation and inset, pedicle dissection, and microvascular anastomosis. As RAS continues to integrate within plastic surgery procedures, the need for a structured RAS curriculum designed for plastic surgery trainees is rising. This article delineates the essential components of a plastic surgery-specific RAS curriculum and outlines current training models and assessment tools utilized across surgical subspecialties to date.

Indexed as

educationplastic surgery trainingrobotic surgerysurgical education

Identifiers

PMID38444955
PMCPMC10911909

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.