Evidence map›Paper›PMID 36147899›Full record

ArticleIISE transactions on healthcare systems engineering2022

Minimally Trained Analysts Can Perform Fast, Objective Assessment of Orthopedic Technical Skill from Fluoroscopic Images.

Dominik D Mattioli, Geb W Thomas, Steven A Long, Marcus Tatum, Donald D Anderson

Open access · greenAbstract read
In one paragraph

Article in IISE transactions on healthcare systems engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Dominik D MattioliDepartment of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
Geb W ThomasDepartment of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
Steven A LongDepartment of Orthopedics and Rehabilitation, University of Iowa, Iowa City, United States.
Marcus TatumDepartment of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
Donald D AndersonDepartment of Industrial & Systems Engineering, University of Iowa, Iowa City, United States.
University of Iowa · US

Funding

Simulation to Support Competency-Based Training in Orthopedic TraumaR18HS025353 · AHRQ · UNIVERSITY OF IOWA · PI ANDERSON, DONALD D, THOMAS, GEB · 2017 to 2021
$1.9M
AHRQ HHS R18 HS025353AHRQ HHS R18 HS028778
6 · The paper itself

Abstract

Skill assessment in orthopedics has traditionally relied on subjective impressions from a supervising surgeon. The feedback derived from these tools may be limited by bias and other practical issues. Objective analysis of intraoperative fluoroscopic images offers an inexpensive, repeatable, and precise assessment strategy without bias. Assessors generally refrain from using the scores of images obtained throughout the operation to evaluate skill for practical reasons. A new system was designed to facilitate rapid analysis of this fluoroscopy via minimally trained analysts. Four expert and four novice analysts independently measured one objective metric for skill using both a custom analysis software and a commercial alternative. Analysts were able to measure the objective metric three times faster when using the custom software, and without a practical difference in accuracy in comparison to the expert analysts using the commercial software. These results suggest that a well-designed fluoroscopy analysis system can facilitate inexpensive, reliable, and objective assessment of surgical skills.

Indexed as

fluoroscopic image analysisobjective skills assessmentorthopedicsprocess improvementsurgical data science

Identifiers

PMID36147899
PMCPMC9488091
OpenAlexW4284894320

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.