Evidence map›Paper›PMID 38545339›Full record

ArticleFrontiers in cardiovascular medicine2024

The

Samar A Tarraf, Rodrigo Barbosa de Souza, Ashley Herrick, Lygia V Pereira, Chiara Bellini

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

Samar A TarrafDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Rodrigo Barbosa de SouzaDepartment of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil.
Ashley HerrickDepartment of Bioengineering, Northeastern University, Boston, MA, United States.
Lygia V PereiraDepartment of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil.
Chiara BelliniDepartment of Bioengineering, Northeastern University, Boston, MA, United States.

Funding

Neural Operator Learning to Predict Aneurysmal Growth and OutcomesR01HL168473 · NHLBI · YALE UNIVERSITY · PI Roland Assi, Chiara Bellini · 2023 to 2026
$2.7M
NHLBI NIH HHS R01 HL168473
6 · The paper itself

Abstract

Introduction: Ascending thoracic aortic aneurysms arise from pathological tissue remodeling that leads to abnormal wall dilation and increases the risk of fatal dissection/rupture. Large variability in disease manifestations across family members who carry a causative genetic variant for thoracic aortic aneurysms suggests that genetic modifiers may exacerbate clinical outcomes. Decreased perlecan expression in the aorta of mgΔ Methods: To determine the effect of concurrent Results: Elastic fiber fragmentation and medial disarray progress from the internal elastic lamina outward as the ascending thoracic aorta dilates in mgΔ Discussion: Overall, our findings show that dMut mice are more vulnerable than mgΔ

Indexed as

ascending aneurysmbiomechanicsfibrillin-1Marfan syndromeperlecan

Identifiers

PMID38545339
PMCPMC10965555

What OpenQuestion holds

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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.