Evidence map›Paper›PMID 37528917›Full record

ReviewSurgery open science2023

Using the language of surgery to enhance ophthalmology surgical education.

Nathan Pan-Doh, Shameema Sikder, Fasika A Woreta, James T Handa

Abstract readReview
In one paragraph

Review in Surgery open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Nathan Pan-DohWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shameema SikderWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Fasika A WoretaWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
James T HandaWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

Artificial Intelligence Driven Tools for Objective Surgical Performance ImprovementR01EY033065 · NEI · JOHNS HOPKINS UNIVERSITY · PI SIKDER, SHAMEEMA, VEDULA, SATYANARAYANA SWAROOP · 2021 to 2024
$1.8M
NEI NIH HHS R01 EY033065
6 · The paper itself

Abstract

Background: Currently, surgical education utilizes a combination of the apprentice model, wet-lab training, and simulation, but due to reliance on subjective data, the quality of teaching and assessment can be variable. The "language of surgery," an established concept in engineering literature whose incorporation into surgical education has been limited, is defined as the description of each surgical maneuver using quantifiable metrics. This concept is different from the traditional notion of surgical language, generally thought of as the qualitative definitions and terminology used by surgeons. Methods: A literature search was conducted through April 2023 using MEDLINE/PubMed using search terms to investigate wet-lab, virtual simulators, and robotics in ophthalmology, along with the language of surgery and surgical education. Articles published before 2005 were mostly excluded, although a few were included on a case-by-case basis. Results: Surgical maneuvers can be quantified by leveraging technological advances in virtual simulators, video recordings, and surgical robots to create a language of surgery. By measuring and describing maneuver metrics, the learning surgeon can adjust surgical movements in an appropriately graded fashion that is based on objective and standardized data. The main contribution is outlining a structured education framework that details how surgical education could be improved by incorporating the language of surgery, using ophthalmology surgical education as an example. Conclusion: By describing each surgical maneuver in quantifiable, objective, and standardized terminology, a language of surgery can be created that can be used to learn, teach, and assess surgical technical skill with an approach that minimizes bias. Key message: The "language of surgery," defined as the quantification of each surgical movement's characteristics, is an established concept in the engineering literature. Using ophthalmology surgical education as an example, we describe a structured education framework based on the language of surgery to improve surgical education. Classifications: Surgical education, robotic surgery, ophthalmology, education standardization, computerized assessment, simulations in teaching. Competencies: Practice-Based Learning and Improvement.

Indexed as

Education standardizationLanguage of surgeryOphthalmologyRobotic surgerySurgical educationSurgical instruments

Identifiers

PMID37528917
PMCPMC10387608

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.