Evidence map›Paper›PMID 39073692›Full record

SynthesisBiomechanics and modeling in mechanobiology2024

Are aortic biomechanical properties early markers of dilatation in patients with Marfan syndrome? A systematic review and meta-analysis.

Claire Rosnel, Raphael Sivera, Elena Cervi, Mark Danton, Silvia Schievano, Claudio Capelli, Ankush Aggarwal

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors.

Claire RosnelGlasgow Computational Engineering Centre, James Watt School of Engineering, University of Glasgow, Glasgow, Scotland, UK.ORCID http://orcid.org/0009-0000-0038-4321
Raphael SiveraInstitute of Cardiovascular Science, University College London, London, England, UK.ORCID http://orcid.org/0000-0003-1157-1514
Elena CerviCentre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, England, UK.ORCID http://orcid.org/0000-0003-2612-1014
Mark DantonDepartment of Paediatric Cardiac Services, Royal Hospital for Children, Glasgow, Scotland, UK.ORCID http://orcid.org/0000-0003-0866-2394
Silvia SchievanoInstitute of Cardiovascular Science, University College London, London, England, UK.ORCID http://orcid.org/0000-0003-2037-5339
Claudio CapelliInstitute of Cardiovascular Science, University College London, London, England, UK.ORCID http://orcid.org/0000-0002-2071-2596
Ankush AggarwalGlasgow Computational Engineering Centre, James Watt School of Engineering, University of Glasgow, Glasgow, Scotland, UK. ankush.aggarwal@glasgow.ac.uk.ORCID http://orcid.org/0000-0002-1755-8807

Funding

Engineering and Physical Sciences Research Council of the UK EP/N02124X/1
6 · The paper itself

Abstract

Although tissue stiffness is known to play an important role in aortic dilatation, the current guidelines for offering preventative surgery in patients with Marfan syndrome rely solely on the aortic diameter. In this systematic review and meta-analysis, we analyze and compare literature on in vivo aortic stiffness measures in Marfan patients. Our aim is to assess the potential of these measurements as early indicators of aortic dilatation. Following the PRISMA guidelines, we collected literature on diameter and three in vivo stiffness measures: Pulse wave velocity (PWV),

Indexed as

AortaMarfan SyndromeBiomarkersBiomechanical PhenomenaDilatation, PathologicHumansPulse Wave AnalysisVascular StiffnessBiomarkersAortaDistensibilityIn vivo stiffnessMarfan syndromePulse wave velocity (PWV)

Identifiers

PMID39073692
PMCPMC11554766

What OpenQuestion holds

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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.