Evidence map›Paper›PMID 29850416›Full record

ReviewCardiovascular diagnosis and therapy2018

Three-dimensional (3D) printing and its applications for aortic diseases.

Patrick Hangge, Yash Pershad, Avery A Witting, Hassan Albadawi, Rahmi Oklu

Abstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Application of 3D Printing in Preoperative Planning.Journal of clinical medicine · 2021
    Review
  11. Review
  12. Article
  13. Review
  14. 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.

Patrick HanggeDivision of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA.
Yash PershadDivision of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA.
Avery A WittingDivision of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA.
Hassan AlbadawiDivision of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA.
Rahmi OkluDivision of Interventional Radiology, Mayo Clinic, Phoenix, AZ, USA.

Funding

Hemorrhage control in the irreversible anticoagulated patientR01HL137193 · NHLBI · MAYO CLINIC ARIZONA · PI OKLU, RAHMI · 2017 to 2021
$3.0M
Targeted chemotherapy delivery and captureR01EB024403 · NIBIB · MAYO CLINIC ARIZONA · PI KHADEMHOSSEINI, ALI, OKLU, RAHMI · 2017 to 2020
$2.2M
Catheter guided endovascular electric field ablation for thrombosis therapy.R21EB021148 · NIBIB · MAYO CLINIC ARIZONA · PI KHADEMHOSSEINI, ALI, OKLU, RAHMI · 2016 to 2017
$485k
Circulating tumor cells in hepatocellular carcinomaR03CA172738 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2013 to 2014
$171k
NCI NIH HHS R03 CA172738NHLBI NIH HHS R01 HL137193NIBIB NIH HHS R01 EB024403NIBIB NIH HHS R21 EB021148
6 · The paper itself

Abstract

Three-dimensional (3D) printing is a process which generates prototypes from virtual objects in computer-aided design (CAD) software. Since 3D printing enables the creation of customized objects, it is a rapidly expanding field in an age of personalized medicine. We discuss the use of 3D printing in surgical planning, training, and creation of devices for the treatment of aortic diseases. 3D printing can provide operators with a hands-on model to interact with complex anatomy, enable prototyping of devices for implantation based upon anatomy, or even provide pre-procedural simulation. Potential exists to expand upon current uses of 3D printing to create personalized implantable devices such as grafts. Future studies should aim to demonstrate the impact of 3D printing on outcomes to make this technology more accessible to patients with complex aortic diseases.

Indexed as

aortic diseasessegmentationThree-dimensional (3D) printing

Identifiers

PMID29850416
PMCPMC5949593

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.