Evidence map›Paper›PMID 33680657›Full record

ArticlePlastic and reconstructive surgery. Global open2021

A Standardized Hand Fracture Fixation Training Framework using Novel 3D Printed Ex Vivo Hand Models: Our Experience as a Unit.

Theodora Papavasiliou, Stelios Chatzimichail, Jeffrey C Y Chan, Charles J Bain, Lauren Uppal

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A mixed reality hand fracture simulator for virtual K-wire fixation.International journal of computer assisted radiology and surgery · 2026
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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

5 authors.

Theodora PapavasiliouDepartment of Plastic Surgery, Guys' and St. Thomas' Hospitals, Lambeth, London, UK.
Stelios ChatzimichailDepartment of Surgery and Cancer, Imperial College London, White City Campus, London, UK.
Jeffrey C Y ChanDepartment of Plastic Surgery, Guys' and St. Thomas' Hospitals, Lambeth, London, UK.
Charles J BainDepartment of Plastic Surgery, Guys' and St. Thomas' Hospitals, Lambeth, London, UK.
Lauren UppalDepartment of Plastic Surgery, Guys' and St. Thomas' Hospitals, Lambeth, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgery for hand trauma accounts for a significant proportion of the plastic surgery training curriculum. The aim of this study was to create a standardized simulation training module for hand fracture fixation with Kirschner wire (K-wire) techniques for residents to create a standardized hand training framework that universally hones their skill and prepares them for their first encounter in a clinical setting.

methodsA step-ladder approach training with 6 levels of difficulty on 3-dimensional (3D) printed ex vivo hand biomimetics was employed on a cohort of 20 plastic surgery residents (n = 20). Assessment of skills using a score system (global rating scale) was performed in the beginning and at the end of the module by hand experts of our unit.

resultsThe overall average scores of the cohort before and after assessment were 23.75/40 (59.4%) and 34.7/40 (86.8%), respectively. Significant (

conclusionsWe demonstrate a standardized simulation training framework that employs 3D printed ex vivo hand biomimetics proved to improve the skills of residents and that paves the way to more universal, standardized and validated training across hand surgery. This is, to our knowledge, the first standardized method of simulated training on such hand surgical cases.

Identifiers

PMID33680657
PMCPMC7929524

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LicenceCC BY-NC-ND
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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.