Evidence map›Paper›PMID 32989709›Full record

ArticlePerspectives on medical education2021

Development of a 3D printed simulator for closed reduction of distal radius fractures.

William Dixon, Nathaniel Miller, Georgia G Toal, Stefanie S Sebok-Syer, Michael A Gisondi

Open access · diamondAbstract read
In one paragraph

Article in Perspectives on medical education, 2021. 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
0.5field-weighted citation impact, top 35% of its field
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, 5 citations in OpenAlex.

  1. Evaluation of a 3D-Printed Model for Simulating Closed Reduction and Percutaneous Pinning of Unstable Distal Radius Fractures.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Article
  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

5 authors at 2 institutions in 1 country.

William DixonDepartment of Emergency Medicine, Stanford University, Stanford, CA, USA. wdixon@stanford.edu.
Nathaniel MillerDepartment of Emergency Medicine, Vanderbilt University, Nashville, TN, USA.
Georgia G ToalStanford University, Stanford, CA, USA.
Stefanie S Sebok-SyerDepartment of Emergency Medicine, Stanford University, Stanford, CA, USA.
Michael A GisondiDepartment of Emergency Medicine, Stanford University, Stanford, CA, USA.
Stanford University · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of simulators in medical education is critical for developing procedural competence prior to treating patients. Current training of emergency physicians to perform distal radius fracture reduction is inconsistent and inadequate. APPROACH: We developed a 3D printed distal radius fracture simulation training model that is easy to assemble and relatively inexpensive. We present step-by-step instructions to reproduce the model. EVALUATION: The model was found to have high fidelity for training by both instructors and participants in a simulation-based mastery learning course. REFLECTION: We successfully designed a low cost, easy to reproduce, high fidelity model for use in a simulation-based mastery learning course to teach distal radius fracture reduction.

Indexed as

Radius FracturesSimulation TrainingComputer SimulationHumansPrinting, Three-DimensionalDistal radius fractureMedical educationSimulation based mastery learning

Identifiers

PMID32989709
PMCPMC8187689
OpenAlexW3089783777

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.