Evidence map›Paper›PMID 38341399›Full record

ArticleAnnals of biomedical engineering2024

Non-invasive Estimation of Pressure Drop Across Aortic Coarctations: Validation of 0D and 3D Computational Models with In Vivo Measurements.

Priya J Nair, Martin R Pfaller, Seraina A Dual, Doff B McElhinney, Daniel B Ennis, Alison L Marsden

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

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  9. Uncertainty quantification of the pressure waveform using a Windkessel model.International journal for numerical methods in biomedical engineering · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Priya J NairDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-6326-9777
Martin R PfallerStanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Seraina A DualDepartment of Biomedical Signaling and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden.
Doff B McElhinneyStanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Daniel B EnnisStanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Alison L MarsdenDepartment of Bioengineering, Stanford University, Stanford, CA, USA. amarsden@stanford.edu.
Cardiovascular Institute of the South · USKTH Royal Institute of Technology · SEVA Palo Alto Health Care System · US

Funding

Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionR00HL161313 · NHLBI · YALE UNIVERSITY · PI Martin R Pfaller · 2024 to 2026
$747k
Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionK99HL161313 · NHLBI · STANFORD UNIVERSITY · PI PFALLER, MARTIN R · 2022 to 2023
$324k
NHLBI NIH HHS K99 HL161313NHLBI NIH HHS K99HL161313NHLBI NIH HHS R00 HL161313
6 · The paper itself

Abstract

Blood pressure gradient (

Indexed as

Aortic CoarctationBlood Flow VelocityBlood PressureComputer SimulationHumansMagnetic Resonance AngiographyAortic coarctationComputational fluid dynamicsHemodynamics

Identifiers

PMID38341399
PMCPMC13271072
OpenAlexW4391720071

What OpenQuestion holds

Textmetadata
LicenceTDM
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.