Evidence map›Paper›PMID 37510714›Full record

ReviewJournal of clinical medicine2023

Echocardiographic Parameters for Risk Prediction in Borderline Right Ventricle: Review with Special Emphasis on Pulmonary Atresia with Intact Ventricular Septum and Critical Pulmonary Stenosis.

Massimiliano Cantinotti, Colin Joseph McMahon, Pietro Marchese, Martin Köstenberger, Marco Scalese, Eliana Franchi, Giuseppe Santoro, Nadia Assanta, Xander Jacquemyn, Shelby Kutty and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. 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
1.5field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

  1. Article
  2. Borderline Ventricles: From Evaluation to Treatment.Diagnostics (Basel, Switzerland) · 2024
    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

11 authors at 7 institutions in 4 countries.

Massimiliano CantinottiFondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy.
Colin Joseph McMahonDepartment of Pediatric Cardiology, Childrens Health Ireland, D12 N512 Dublin, Ireland.ORCID 0000-0003-0337-9338
Pietro MarcheseFondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy.
Martin KöstenbergerDepartment of Pediatrics, Division of Pediatric Cardiology, Medical University Graz, 8036 Graz, Austria.ORCID 0000-0003-1766-7859
Marco ScaleseIstituto di Scienze Della Vita (ISV), Scuola Superiore Sant'Anna, 56127 Pisa, Italy.ORCID 0000-0002-7470-2422
Eliana FranchiFondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy.
Giuseppe SantoroFondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy.ORCID 0000-0001-6342-7843
Nadia AssantaFondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy.
Xander JacquemynHelen B. Taussig Heart Center, Department of Pediatrics, Johns Hopkins Hospital, Baltimore, MD 21205, USA.
Shelby KuttyHelen B. Taussig Heart Center, Department of Pediatrics, Johns Hopkins Hospital, Baltimore, MD 21205, USA.
Raffaele GiordanoAdult and Pediatric Cardiac Surgery, Department Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.
Fondazione Toscana Gabriele Monasterio · ITJohns Hopkins Hospital · USScuola Superiore Sant'Anna · ITIstituto di Fisiologia Clinica · ITMedical University of Graz · ATUniversity College Dublin · IEUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present review is to highlight the strengths and limitations of echocardiographic parameters and scores employed to predict favorable outcome in complex congenital heart diseases (CHDs) with borderline right ventricle (RV), with a focus on pulmonary atresia with intact ventricular septum and critical pulmonary stenosis (PAIVS/CPS). A systematic search in the National Library of Medicine using Medical Subject Headings and free-text terms including echocardiography, CHD, and scores, was performed. The search was refined by adding keywords "PAIVS/CPS", Ebstein's anomaly, and unbalanced atrioventricular septal defect with left dominance. A total of 22 studies were selected for final analysis; 12 of them were focused on parameters to predict biventricular repair (BVR)/pulmonary blood flow augmentation in PAIVS/CPS. All of these studies presented numerical (the limited sample size) and methodological limitations (retrospective design, poor definition of inclusion/exclusion criteria, variability in the definition of outcomes, differences in adopted surgical and interventional strategies). There was heterogeneity in the echocardiographic parameters employed and cut-off values proposed, with difficultly in establishing which one should be recommended. Easy scores such as TV/MV (tricuspid/mitral valve) and RV/LV (right/left ventricle) ratios were proven to have a good prognostic accuracy; however, the data were very limited (only two studies with <40 subjects). In larger studies, RV end-diastolic area and a higher degree of tricuspid regurgitation were also proven as accurate predictors of successful BVR. These measures, however, may be either operator and/or load/pressure dependent. TV Z-scores have been proposed by several authors, but old and heterogenous nomograms sources have been employed, thus producing discordant results. In summary, we provide a review of the currently available echocardiographic parameters for risk prediction in CHDs with a diminutive RV that may serve as a guide for use in clinical practice.

Indexed as

borderline right ventriclesechocardiographypediatricsscores

Identifiers

PMID37510714
PMCPMC10380858
OpenAlexW4383909018

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.