Evidence map›Paper›PMID 26679833›Full record

ArticleExpert review of medical devices2016

Lagrangian methods for blood damage estimation in cardiovascular devices--How numerical implementation affects the results.

Gil Marom, Danny Bluestein

Abstract read
In one paragraph

Article in Expert review of medical devices, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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  10. Article
  11. New Insights into Valve Hemodynamics.Rambam Maimonides medical journal · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
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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

2 authors.

Gil Maroma Department of Biomedical Engineering , Stony Brook University , Stony Brook , NY , USA.
Danny Bluesteina Department of Biomedical Engineering , Stony Brook University , Stony Brook , NY , USA.

Funding

Optimizing Cardiovascular Device Thromboresistance for Eliminating AnticoagulantsU01EB012487 · NIBIB · STATE UNIVERSITY NEW YORK STONY BROOK · PI BLUESTEIN, DANNY · 2010 to 2014
$6.9M
Multiscale Modeling of Blood Flow and Platelet Mediated ThrombosisU01HL131052 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BLUESTEIN, DANNY · 2016 to 2020
$3.6M
NHLBI NIH HHS U01 HL131052NIBIB NIH HHS U01 EB012487NIBIB NIH HHS U01 EB012487-0
6 · The paper itself

Abstract

This paper evaluated the influence of various numerical implementation assumptions on predicting blood damage in cardiovascular devices using Lagrangian methods with Eulerian computational fluid dynamics. The implementation assumptions that were tested included various seeding patterns, stochastic walk model, and simplified trajectory calculations with pathlines. Post processing implementation options that were evaluated included single passage and repeated passages stress accumulation and time averaging. This study demonstrated that the implementation assumptions can significantly affect the resulting stress accumulation, i.e., the blood damage model predictions. Careful considerations should be taken in the use of Lagrangian models. Ultimately, the appropriate assumptions should be considered based the physics of the specific case and sensitivity analysis, similar to the ones presented here, should be employed.

Indexed as

Cardiovascular Physiological PhenomenaComputer SimulationEquipment and SuppliesCardiovascular SystemHumansModels, CardiovascularTime FactorsBlood damage modelcardiovascular devicescomputational fluid dynamicsLagrangian methodsnumerical modeling

Identifiers

PMID26679833
PMCPMC4932905

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Registered trials

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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.