Evidence map›Paper›PMID 36420287›Full record

ArticleJournal of medicine and life2022

Predicting factors and outcomes of acute myocarditis in children - a 5-year experience in a teaching hospital from the Eastern province of Saudi Arabia.

Waleed Albuali

Open access · diamondAbstract read
In one paragraph

Article in Journal of medicine and life, 2022. 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
0.7field-weighted citation impact, top 29% 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. Article
  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

1 author at 1 institution in 1 country.

Waleed AlbualiDepartment of Pediatrics, College of Medicine, King Fahad Hospital, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia.
King Fahd Hospital of the University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocarditis in children is not very common, but the state of the disease is similar to viral influenza, making it challenging for a clinician to make an early diagnosis and treatment plan. Elevated levels of inflammatory biomarkers like C-reactive protein, serum lactate, troponin, and abnormal ECG may be helpful for high-index suspicion of myocarditis. This study aimed to determine the predicting factors and outcomes of acute myocarditis in children admitted to a teaching hospital in the Eastern province of Saudi Arabia. Complete medical records of 80 pediatric patients with acute myocarditis over 5 years (from 2015 to 2019) were retrieved, including demographic characteristics, laboratory investigations including cardiac enzymes (serum lactate, CPR, and troponin), and ECG findings for the diagnosis of myocarditis based on tachycardia and bradycardia. There were 22 (27.5%) mortalities that took place during the hospital stay. Low WBC (mmol/dl) levels were associated with in-hospital mortality (p 0.001), whereas high serum lactate levels (>2 mmol) were not. Association of troponin level (0.15ng/mL) was not significantly associated with mortality (p=0.496). The area under the ROC=0.947 (95% C.I: 0.88-1.0) revealed highly significant predictive validity at the 2.3 best cutoff point, having 90.9% and 87.9% sensitivity and specificity, respectively. Clinical factors and elevated biomarkers were associated with poor prognosis and in-hospital mortality in pediatric myocarditis. Serum lactate and troponin levels demonstrated high predictive validity for early diagnosis.

Indexed as

MyocarditisBiomarkersChildHospitals, TeachingHumansLactatesSaudi ArabiaTroponinBiomarkersLactatesTroponinbiomarkermyocarditisoutcomepediatricpredictor

Identifiers

PMID36420287
PMCPMC9675313
OpenAlexW4309419188

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.