Evidence map›Paper›PMID 40689920›Full record

ArticleBiomechanics and modeling in mechanobiology2025

Ascending aortic aneurysm growth in the Fbln4

Marisa S Bazzi, Hadi Wiputra, Weihua Guan, Victor H Barocas

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Article
  3. Mechanisms Driving Thoracic Aortic Aneurysm Stability.bioRxiv : the preprint server for biology · 2025
    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

4 authors.

Marisa S BazziDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN, 55455, USA.
Hadi WiputraDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
Weihua GuanDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA.
Victor H BarocasDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, 55455, USA. baroc001@umn.edu.

Funding

Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysmR01HL164800 · NHLBI · WASHINGTON UNIVERSITY · PI VICTOR H BAROCAS, Jessica Wagenseil · 2022 to 2026
$3.2M
Role of mechanical heterogeneity in cerebral aneurysm growth and ruptureR01NS126762 · NINDS · UNIVERSITY OF MINNESOTA · PI PATRICK W ALFORD · 2023 to 2026
$1.9M
American Heart Association Postdoctoral Fellowship Award #24POST1200330American Heart Association Predoctoral Fellowship Award #916587NHLBI NIH HHS R01 HL164800NIH HHS R01 NS126762NINDS NIH HHS R01 NS126762
6 · The paper itself

Abstract

Arterial growth and remodeling (G&R), in response to biomechanical stimuli, plays a pivotal role in vascular health. Disruptions in G&R, often seen in conditions such as aneurysms and atherosclerosis, can lead to pathological changes and pose significant health risks. Assessing risk should not only consider the current state of the aneurysm but also how it develops over the subsequent months. Herein, we make a controlled, subject-specific assessment of maladaptive aortic tissue growth using data previously obtained for the Fbln4

Indexed as

AortaAortic AneurysmAneurysm, Ascending AortaAnimalsBiomechanical PhenomenaComputer SimulationMaleMiceMice, KnockoutModels, CardiovascularTomography, X-Ray ComputedArteryCardiovascularComputationalGrowthRemodeling

Identifiers

PMID40689920
PMCPMC12454605

What OpenQuestion holds

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LicenceCC BY
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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.