Evidence map›Paper›PMID 31786619›Full record

ArticlePediatric cardiology2020

Pediatric Myocarditis Protocol: An Algorithm for Early Identification and Management with Retrospective Analysis for Validation.

Ashley Howard, Ali Hasan, John Brownlee, Noormah Mehmood, Mir Ali, Shivani Mehta, Jamie Fergie

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Pediatric cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Brazilian Society of Cardiology Guideline on Myocarditis - 2022.Arquivos brasileiros de cardiologia · 2022
    Guideline
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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 1 country.

Ashley HowardYale School of Medicine, PO Box 208064, New Haven, CT, 60520, USA.
Ali HasanDriscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA. Hasanali2908@gmail.com.
John BrownleeDriscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA.
Noormah MehmoodDriscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA.
Mir AliTexas A&M College of Medicine, Fort Worth, TX, USA.
Shivani MehtaTexas A&M College of Medicine, Fort Worth, TX, USA.
Jamie FergieDriscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA.
Driscoll Children's Hospital · USTexas A&M University School of Law · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocarditis is an inflammatory disease of the myocardium with numerous different etiologies, the vast majority of which are infectious in origin. Patients afflicted with myocarditis can have variable presentations from flu-like symptoms to cardiogenic shock and sudden death, thus making the diagnosis difficult. The purpose of this study is the development of an algorithm for early identification and management of myocarditis based on a review of the published data and available literature. To validate the efficacy of this algorithm, a retrospective chart review of all the patient's presenting symptoms and diagnostic workup, treatment, and clinical progression was performed and applied to the algorithm to investigate whether they could be diagnosed at the time of presentation. Retrospective chart review was performed and all the patient's diagnosed with myocarditis between the years 2009 and 2017 were included in the study. 12 patients were identified on chart review and the algorithm was found to be 100% accurate at identifying all myocarditis patients at presentation by using the symptom identification.

Indexed as

AlgorithmsAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMyocarditisPredictive Value of TestsRetrospective StudiesCardiac magnetic resonance imagingFulminant myocarditisMyocarditisMyocarditis virology

Identifiers

PMID31786619
OpenAlexW2991151968

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.