Evidence map›Paper›PMID 33426609›Full record

ArticleJournal of medical systems2021

Computer-Generated Three-Dimensional Airway Models as a Decision-Support Tool for Preoperative Evaluation and Procedure-Planning in Pediatric Anesthesiology.

Benjamin Kloesel, Bethany Juhnke, Laura Irvine, James V Donadio, Arthur Erdman, Kumar Belani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical systems, 2021. 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. Review
  2. Article
  3. Article
  4. Observational
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.

Benjamin KloeselDepartment of Anesthesiology, Division of Pediatric Anesthesiology, University of Minnesota, B515 Mayo Building, 420 Delaware Street SE, Minneapolis, MN, 55455, USA. bkloesel@umn.edu.ORCID http://orcid.org/0000-0002-6485-5951
Bethany JuhnkeEarl E. Bakken Medical Devices Center, University of Minnesota, Minneapolis, MN, USA.
Laura IrvineDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.
James V DonadioDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.
Arthur ErdmanEarl E. Bakken Medical Devices Center, University of Minnesota, Minneapolis, MN, USA.
Kumar BelaniDepartment of Anesthesiology, Division of Pediatric Anesthesiology, University of Minnesota, B515 Mayo Building, 420 Delaware Street SE, Minneapolis, MN, 55455, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technology improvements have rapidly advanced medicine over the last few decades. New approaches are constantly being developed and utilized. Anesthesiology strongly relies on technology for resuscitation, life-support, monitoring, safety, clinical care, and education. This manuscript describes a reverse engineering process to confirm the fit of a medical device in a pediatric patient. The method uses virtual reality and three-dimensional printing technologies to evaluate the feasibility of a complex procedure requiring one-lung isolation and one-lung ventilation. Based on the results of the device fit analysis, the anesthesiology team confidently proceeded with the operation. The approach used and described serves as an example of the advantages available when coupling new technologies to visualize patient anatomy during the procedural planning process.

Indexed as

AnesthesiologyChildComputersHumansImaging, Three-DimensionalPreoperative CarePrinting, Three-DimensionalAirway managementDevice fit analysisMedical devicePediatric anesthesiologyThree-dimensional airway model

Identifiers

PMID33426609
PMCPMC7797200

What OpenQuestion holds

Textmetadata
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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.