Evidence map›Paper›PMID 32248348›Full record

ReviewJournal of cardiovascular translational research2021

Predictive Models for Pulmonary Artery Size in Fontan Patients.

Akash Gupta, Chris Gillett, Patrick Gerard, Michael M H Cheung, Jonathan P Mynard, Ethan Kung

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Image-based scaling laws for somatic growth and pulmonary artery morphometry from infancy to adulthood.American journal of physiology. Heart and circulatory physiology · 2020
    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

6 authors.

Akash GuptaDepartment of Mechanical Engineering, Clemson University, Clemson, SC, 29634-0921, USA.
Chris GillettDepartment of Cardiology, Royal Children's Hospital, Parkville, Victoria, Australia.
Patrick GerardSchool of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USA.
Michael M H CheungDepartment of Cardiology, Royal Children's Hospital, Parkville, Victoria, Australia.
Jonathan P MynardDepartment of Cardiology, Royal Children's Hospital, Parkville, Victoria, Australia.
Ethan KungDepartment of Mechanical Engineering, Clemson University, Clemson, SC, 29634-0921, USA. ekung@clemson.edu.

Funding

American Heart Association-American Stroke Association 16SDG29850012
6 · The paper itself

Abstract

We developed models of pulmonary artery (PA) size in Fontan patients as a function of age and body surface area (BSA) using linear regression and breakpoint analyses based on data from 43 Fontan patients divided into two groups: the extracardiac conduit (ECC) group (n = 24) and the non-ECC group (n = 19). Model predictions were compared against those of a non-Fontan control group (n = 18) and published literature. We observed strong positive correlations of the mean PA diameter with BSA (r = 0.9, p < 0.05) and age (r = 0.88, p < 0.05) in the ECC group. The absolute percentage differences between our BSA and age model predictions against published literature were less than 16% and 20%, respectively. Predicted PA size for Fontan patients was consistently smaller than the control group. These models may serve as useful references for clinicians and be utilized to construct 3D anatomic models that correspond to patient body size or age.

Indexed as

Fontan ProcedureMagnetic Resonance AngiographyPatient-Specific ModelingAdolescentAdultAge FactorsBody Surface AreaChildChild, PreschoolFemaleHemodynamicsHumansMaleModels, AnatomicModels, CardiovascularPredictive Value of TestsFontan geometryPredictive modelsPulmonary artery indexRegression analysisUniventricular physiology

Identifiers

What OpenQuestion holds

Textmetadata
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.