Evidence map›Paper›PMID 32566808›Full record

ArticleJournal of vascular surgery cases and innovative techniques2020

Multiscale, patient-specific computational fluid dynamics models predict formation of neointimal hyperplasia in saphenous vein grafts.

Francesca Donadoni, Cesar Pichardo-Almarza, Shervanthi Homer-Vanniasinkam, Alan Dardik, Vanessa Díaz-Zuccarini

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of vascular surgery cases and innovative techniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Hemodynamics and Wall Mechanics of Vascular Graft Failure.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Review
  3. Article
  4. Article
  5. Review
  6. Review
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 at 2 institutions in 2 countries.

Francesca DonadoniDepartment of Mechanical Engineering, Multiscale Cardiovascular Engineering Group, University College London, London, United Kingdom.
Cesar Pichardo-AlmarzaDepartment of Mechanical Engineering, Multiscale Cardiovascular Engineering Group, University College London, London, United Kingdom.
Shervanthi Homer-VanniasinkamDepartment of Mechanical Engineering, Multiscale Cardiovascular Engineering Group, University College London, London, United Kingdom.
Alan DardikYale University School of Medicine, Vascular Biology and Therapeutics, New Haven, Conn.
Vanessa Díaz-ZuccariniDepartment of Mechanical Engineering, Multiscale Cardiovascular Engineering Group, University College London, London, United Kingdom.
University College London · GBYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stenosis due to neointimal hyperplasia (NIH) is among the major causes of peripheral graft failure. Its link to abnormal hemodynamics in the graft is complex, and isolated use of hemodynamic markers is insufficient to fully capture its progression. Here, a computational model of NIH growth is presented, establishing a link between computational fluid dynamics simulations of flow in the lumen and a biochemical model representing NIH growth mechanisms inside the vessel wall. For all three patients analyzed, NIH at proximal and distal anastomoses was simulated by the model, with values of stenosis comparable to the computed tomography scans.

Indexed as

Computational fluid dynamicsMultiscale modelingNeointimal hyperplasiaShear stressVein grafts

Identifiers

PMID32566808
PMCPMC7296340
OpenAlexW3015875369

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.