Evidence map›Paper›PMID 35755032›Full record

ArticleFrontiers in medicine2022

A Novel Clinical Score for Differential Diagnosis Between Acute Myocarditis and Acute Coronary Syndrome - The SAlzburg MYocarditis (SAMY) Score.

Moritz Mirna, Lukas Schmutzler, Albert Topf, Brigitte Sipos, Lukas Hehenwarter, Uta C Hoppe, Michael Lichtenauer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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 1 institution in 1 country.

Moritz MirnaDivision of Cardiology, Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria.
Lukas SchmutzlerDivision of Cardiology, Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria.
Albert TopfDivision of Cardiology, Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria.
Brigitte SiposDivision of Cardiology, Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria.
Lukas HehenwarterDepartment of Nuclear Medicine and Endocrinology, Paracelsus Medical University, Salzburg, Austria.
Uta C HoppeDivision of Cardiology, Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria.
Michael LichtenauerDivision of Cardiology, Department of Internal Medicine II, Paracelsus Medical University, Salzburg, Austria.
Paracelsus Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myocarditis and acute coronary syndrome (ACS) are important differential diagnoses in patients with new-onset chest pain. To date, no clinical score exists to support the differentiation between these two diseases. The aim of this study was to develop such a score to aid the physician in scenarios where discrimination between myocarditis and ACS appears difficult. Materials and Methods: Patients with ACS ( Results: A score for prediction of acute myocarditis was calculated using six parameters [age, previous infection, hyperlipidemia, hypertension, C-reactive protein (CRP), and leukocyte count]. Logistic regression analysis showed a significant association between total score points and the presence of myocarditis ( Conclusion: Our clinical score showed good discrimination and calibration for differentiating patients with acute myocarditis and ACS. Thus, it could support the differential diagnosis between these two disease entities and could facilitate clinical decisions in affected patients.

Indexed as

ACSacute coronary syndromecardiologyclinical scoreinflammatory heart diseasemyocarditisscore

Identifiers

PMID35755032
PMCPMC9218572
OpenAlexW4282023805

What OpenQuestion holds

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LicenceCC BY
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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.