Evidence map›Paper›PMID 35509098›Full record

ArticleBMC medical education2022

Determining the learning curve for a novel microsurgical procedure using histopathology.

Amir Taher, Joanne Chow, Min Sung Kwon, Damien Hunter, Ania Lucewicz, Chameen Samarawickrama

Abstract read
In one paragraph

Article in BMC medical education, 2022. 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. Intelligent Stain-Free Histology on Structural Colorimetric Nanocavities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

6 authors.

Amir TaherRoyal Prince Alfred Hospital, 50 Missenden Rd, Camperdown, NSW, 2050, Australia.
Joanne ChowCentre for Vision Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, NSW, 2145, Australia.
Min Sung KwonCentre for Vision Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, NSW, 2145, Australia.
Damien HunterCentre for Vision Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, NSW, 2145, Australia.
Ania LucewiczUniversity of Sydney, Darcy Rd, Westmead, NSW, 2145, Australia.
Chameen SamarawickramaCentre for Vision Research, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, NSW, 2145, Australia. chameen.sams@sydney.edu.au.

Funding

National Health and Medical Research Council NHMRC Investigator Grant (APP 1175949)University of Sydney Summer Research Scholarship
6 · The paper itself

Abstract

purposeWet laboratories are becoming an increasingly important training tool as part of a push to a proficiency-based training model. We created a microsurgical wet laboratory to investigate the utility of histopathology use in assessing surgical outcomes and determine the learning curve of a novel microsurgical procedure.

methodsA microsurgical wet laboratory was established using pig eyes to simulate the human cornea. Three novice surgeons and an experienced surgeon performed an anterior cornea lamellar dissection and the duration of the procedure was recorded. With the aid of histological analysis, the thickness and characteristics of the dissected graft was recorded. The number of attempts to complete the experiment, defined as three successful dissections with mean thickness below 100 μm, was documented.

resultsThe use of histopathology was highly successful allowing in-depth analysis of the dissected graft for each attempt. Trainees reached the endpoint of the study in 21, 26 and 36 attempts (mean: 28 attempts) whilst the corneal surgeon completed the experiment in 12 attempts (p = 0.07). Mean dissection thickness decreased over time for all participants. The mean dissection time for trainees was 10.6 ± 4.2 min compared to the corneal surgeon with a mean of 8.2 ± 3.1 min (p = 0.03).

conclusionWe propose a corneal wet laboratory model that allows for simple, efficient, and flexible microsurgical training. The use of histopathological analysis allows for careful graft analysis, providing objective feedback throughout the training exercise. Trainees demonstrated improvements in the three key aspects of the procedure: accuracy as evidenced by decreasing histological thickness, confidence by self-report and fluidity by decreasing duration of the procedure.

Indexed as

Learning CurveSurgeonsAnimalsCorneaHumansSwineCorneal surgeryLamellar dissectionsWet laboratory training

Identifiers

PMID35509098
PMCPMC9066982

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.