Evidence map›Paper›PMID 25977733›Full record

ArticleJournal of computational science2015

A Multiscale Computational Framework to Understand Vascular Adaptation.

Marc Garbey, Mahbubur Rahman, Scott A Berceli

Abstract read
In one paragraph

Article in Journal of computational science, 2015. 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. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Multiscale computing for science and engineering in the era of exascale performance.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  7. Review
  8. Article
  9. Article
  10. Mechanobiological model of arterial growth and remodeling.Biomechanics and modeling in mechanobiology · 2018
    Article
  11. Article
  12. Article
  13. Article
  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

3 authors.

Marc GarbeyDept. of Biology, University of Houston, USA ; MITIE, The Houston Methodist Hospital, Houston USA.
Mahbubur RahmanDept. of Biology, University of Houston, USA.
Scott A BerceliDept. of Surgery, University of Florida, Malcom Randall VAMC, USA.

Funding

Constitutive and Agent-Based Multiscale Models to Improve Vein Graft SurvivalU01HL119178 · NHLBI · UNIVERSITY OF FLORIDA · PI BERCELI, SCOTT A, GARBEY, MARC · 2013 to 2018
$2.7M
Multiscale Network Modeling of Hemodynamically-Driven Vascular AdaptationR01HL095508 · NHLBI · UNIVERSITY OF FLORIDA · PI BERCELI, SCOTT A · 2009 to 2012
$1.5M
NHLBI NIH HHS R01 HL095508NHLBI NIH HHS U01 HL119178
6 · The paper itself

Abstract

The failure rate for vascular interventions (vein bypass grafting, arterial angioplasty/stenting) remains unacceptably high. Over the past two decades, researchers have applied a wide variety of approaches to investigate the primary failure mechanisms, neointimal hyperplasia and aberrant remodeling of the wall, in an effort to identify novel therapeutic strategies. Despite incremental progress, specific cause/effect linkages among the primary drivers of the pathology, (hemodynamic factors, inflammatory biochemical mediators, cellular effectors) and vascular occlusive phenotype remain lacking. We propose a multiscale computational framework of vascular adaptation to develop a bridge between theory and experimental observation and to provide a method for the systematic testing of relevant clinical hypotheses. Cornerstone to our model is a feedback mechanism between environmental conditions and dynamic tissue plasticity described at the cellular level with an agent based model. Our implementation (i) is modular, (ii) starts from basic mechano-biology principle at the cell level and (iii) facilitates the agile development of the model.

Identifiers

PMID25977733
PMCPMC4426998

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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.