Evidence map›Paper›PMID 37732242›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Non-invasive estimation of pressure drop across aortic coarctations: validation of 0D and 3D computational models with

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

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Priya J NairDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
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.
Cardiovascular Institute of the South · USKTH Royal Institute of Technology · SEStanford University · USVA Palo Alto Health Care System · US

Funding

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 HL161313
6 · The paper itself

Abstract

Purpose: Blood pressure gradient ( Methods: Medical imaging and routine clinical measurements were used to create patient-specific models of patients with CoA ( Results: The Conclusion: Overall, a combined approach, using

Indexed as

aortic coarctationcomputational fluid dynamicshemodynamics

Identifiers

PMID37732242
PMCPMC10508787
OpenAlexW4386518344

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.