Evidence map›Paper›PMID 30995803›Full record

ReviewJournal of clinical medicine2019

Personalized Three-Dimensional Printed Models in Congenital Heart Disease.

Zhonghua Sun, Ivan Lau, Yin How Wong, Chai Hong Yeong

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 81 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Zhonghua SunDiscipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth 6102, Australia. z.sun@curtin.edu.au.
Ivan LauDiscipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth 6102, Australia. ivan.w.lau@curtin.edu.au.
Yin How WongSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Java 47500, Malaysia. YinHow.Wong@taylors.edu.my.
Chai Hong YeongSchool of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Java 47500, Malaysia. chaihong.yeong@taylors.edu.my.
Curtin University · AUTaylor's University · MY

Funding

National Heart Foundation, Australia 101843
6 · The paper itself

Abstract

Patient-specific three-dimensional (3D) printed models have been increasingly used in cardiology and cardiac surgery, in particular, showing great value in the domain of congenital heart disease (CHD). CHD is characterized by complex cardiac anomalies with disease variations between individuals; thus, it is difficult to obtain comprehensive spatial conceptualization of the cardiac structures based on the current imaging visualizations. 3D printed models derived from patient's cardiac imaging data overcome this limitation by creating personalized 3D heart models, which not only improve spatial visualization, but also assist preoperative planning and simulation of cardiac procedures, serve as a useful tool in medical education and training, and improve doctor-patient communication. This review article provides an overall view of the clinical applications and usefulness of 3D printed models in CHD. Current limitations and future research directions of 3D printed heart models are highlighted.

Indexed as

congenital heart diseaseheart modelsmedical educationpre-operative planningsimulationthree-dimensional printing

Identifiers

PMID30995803
PMCPMC6517984
OpenAlexW2937026208

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.