Evidence map›Paper›PMID 34691293›Full record

ArticleJournal of computational science2021

Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies.

Nickolas Forsch, Sachin Govil, James C Perry, Sanjeet Hegde, Alistair A Young, Jeffrey H Omens, Andrew D McCulloch

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

Article in Journal of computational science, 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
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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 at 3 institutions in 3 countries.

Nickolas ForschDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Sachin GovilDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
James C PerryDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Sanjeet HegdeDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Alistair A YoungDepartment of Biomedical Engineering, King's College London, London, UK.
Jeffrey H OmensDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Andrew D McCullochDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
University of California, San Diego · USKing's College London · GBLa Jolla Bioengineering Institute · US

Funding

The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
NHLBI NIH HHS R01 HL121754
6 · The paper itself

Abstract

Increased availability and access to medical image data has enabled more quantitative approaches to clinical diagnosis, prognosis, and treatment planning for congenital heart disease. Here we present an overview of long-term clinical management of tetralogy of Fallot (TOF) and its intersection with novel computational and data science approaches to discovering biomarkers of functional and prognostic importance. Efforts in translational medicine that seek to address the clinical challenges associated with cardiovascular diseases using personalized and precision-based approaches are then discussed. The considerations and challenges of translational cardiovascular medicine are reviewed, and examples of digital platforms with collaborative, cloud-based, and scalable design are provided.

Indexed as

cardiac magnetic resonancecardiovascular medicinecongenital heart diseasestatistical shape atlasestranslational medicine

Identifiers

PMID34691293
PMCPMC8528218
OpenAlexW3087342826

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.