Evidence map›Paper›PMID 40357749›Full record

ArticleJournal of the American Heart Association2025

Clinical Outcome Prediction Model in Tetralogy of Fallot Without Pulmonary Valve Replacement Using Contraction Fraction From the SCOUT-TOF Registry.

Mark A Fogel, Jennifer A Faerber, Abdullah Mahmood, Keerthi Reddy, Xuemei Zhang, Elizabeth Goldmuntz, Matthew A Harris, David Biko, Sara Partington, Stephen Paridon and 4 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolution of Surgical Management in Tetralogy of Fallot: A Historical and Contemporary Review.Heart views : the official journal of the Gulf Heart Association
    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

14 authors.

Mark A FogelDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.ORCID 0000-0001-7490-3702
Jennifer A FaerberDepartment of Biomedical and Health Informatics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine Philadelphia PA USA.ORCID 0000-0002-8019-0646
Abdullah MahmoodDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.
Keerthi ReddyDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.ORCID 0009-0008-6588-8641
Xuemei ZhangDepartment of Biomedical and Health Informatics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine Philadelphia PA USA.
Elizabeth GoldmuntzDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.ORCID 0000-0003-2936-4396
Matthew A HarrisDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.
David BikoDepartment of Radiology The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine Philadelphia PA USA.
Sara PartingtonDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.
Stephen ParidonDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.
Michael McbrideDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.
Victor FerrariDivision of Cardiology, Department of Medicine The Hospital of the University of Pennsylvania Philadelphia PA USA.ORCID 0000-0001-8696-3243
Kevin K WhiteheadDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.ORCID 0000-0001-7343-7949
Laura Mercer-RosaDivision of Cardiology, Department of Pediatrics The Children's Hospital of Philadelphia/The Perelman School of Medicine at The University of Pennsylvania School of Medicine 3401 Civic Center Blvd Philadelphia 19104 PA USA.ORCID 0000-0003-2170-5942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew large scale prediction models of clinical outcomes in repaired tetralogy of Fallot (rTOF) exist. Further, contraction fraction, a novel parameter indexing stroke volume by mass reflecting myocardial efficiency, has not been studied. The goals of this study were to develop and validate an rTOF prediction model of clinical outcome from a single center, the SCOUT-TOF (Single Center Outcomes Using Cardiac Magnetic Resonance in Tetralogy of Fallot) registry, using readily available cardiac magnetic resonance parameters and explore novel metrics. METHODS AND

resultsWe retrospectively reviewed cardiac magnetic resonance parameters of patients with rTOF undergoing cardiac magnetic resonance from 2005 to 2021. Composite outcome 1 (CO1) included death, transplantation, ventricular tachycardia, and pacemaker placement, and composite outcome 2 (CO2) added cardiovascular hospitalizations. An elastic net was used to identify significant variables to enter a best subsets logistic regression. A group of 761 patients with rTOF were studied with a median follow-up of 4.15 years; 31 and 44 CO1 and CO2 events occurred respectively. Right ventricular (RV) contraction fraction was the most significant predictor for CO1 (area under the curve, 0.72; odds ratio [OR], 0.54;

conclusionsIn rTOF, RV contraction fraction, a novel biomarker of ventricular efficiency, may be used to possibly improve risk stratification. In addition, not only RV but left ventricular measures of remodeling should be considered in the follow-up of these patients.

Indexed as

Cardiac Surgical ProceduresMyocardial ContractionStroke VolumeTetralogy of FallotVentricular Function, RightAdolescentAdultChildChild, PreschoolFemaleHumansMagnetic Resonance Imaging, CineMalePredictive Value of TestsRegistriesRetrospective Studiescardiac magnetic resonanceclinical outcomecontraction fractiontetralogy of Fallot

Identifiers

PMID40357749
PMCPMC12184570

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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.