Evidence map›Paper›PMID 28942268›Full record

ReviewTrends in biotechnology2017

Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease.

Amanda Randles, David H Frakes, Jane A Leopold

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

3 authors.

Amanda RandlesDuke University, Durham, NC, USA. Electronic address: amanda.randles@duke.edu.
David H FrakesArizona State University, Tempe, AZ, USA.
Jane A LeopoldBrigham and Women's Hospital, Boston, MA, USA.

Funding

Toward coupled multiphysics models of hemodynamics on leadership systemsDP5OD019876 · OD · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI RANDLES, AMANDA E · 2014 to 2018
$2.0M
Intergrated Endothelial Phenotyping to Redefine Pulmonary HypertensionU01HL125215 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LEOPOLD, JANE A, WAXMAN, AARON B · 2014 to 2018
$1.7M
NHLBI NIH HHS U01 HL125215NIH HHS DP5 OD019876
6 · The paper itself

Abstract

Noninvasive engineering models are now being used for diagnosing and planning the treatment of cardiovascular disease. Techniques in computational modeling and additive manufacturing have matured concurrently, and results from simulations can inform and enable the design and optimization of therapeutic devices and treatment strategies. The emerging synergy between large-scale simulations and 3D printing is having a two-fold benefit: first, 3D printing can be used to validate the complex simulations, and second, the flow models can be used to improve treatment planning for cardiovascular disease. In this review, we summarize and discuss recent methods and findings for leveraging advances in both additive manufacturing and patient-specific computational modeling, with an emphasis on new directions in these fields and remaining open questions.

Indexed as

Cardiovascular DiseasesComputer SimulationHemodynamicsModels, CardiovascularAnimalsHumans3D printingadditive manufacturingcardiovascular diseasecomputational fluid dynamicshigh-performance computing

Identifiers

PMID28942268
PMCPMC5651201

What OpenQuestion holds

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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.