Evidence map›Paper›PMID 41751157›Full record

ArticleBiomedicines2026

Differentiating Multisystem Inflammatory Syndrome in Children (MIS-C) from Acute COVID-19 Using Biomarkers: Toward a Practical Clinical Scoring Model.

Carmen Loredana Petrea Cliveți, Diana-Andreea Ciortea, Gabriela Gurău, Mădălina Nicoleta Matei, Alina Plesea Condratovici, Andreea Eliza Zaharia, Codrina Barbu Ivașcu, Gabriela Isabela Verga Răuță, Sorin Ion Berbece

Abstract read
In one paragraph

Article in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Carmen Loredana Petrea ClivețiFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.ORCID 0009-0001-8838-8817
Diana-Andreea CiorteaFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.ORCID 0000-0001-7420-256X
Gabriela GurăuFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.ORCID 0000-0001-8327-1364
Mădălina Nicoleta MateiFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.
Alina Plesea CondratoviciFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.ORCID 0000-0002-2710-7284
Andreea Eliza ZahariaFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.
Codrina Barbu IvașcuFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.
Gabriela Isabela Verga RăuțăFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.ORCID 0009-0009-5438-666X
Sorin Ion BerbeceFaculty of Medicine and Pharmacy, Research Center in the Medico-Pharmaceutical Field, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19 pediatricelectrolyte imbalanceinflammatory biomarkersmachine learningMIS-CNLRPLR

Identifiers

PMID41751157
PMCPMC12937947

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.