Evidence map›Paper›PMID 37597046›Full record

ArticleEuropean journal of pediatrics2023

Kawasaki disease, multisystem inflammatory syndrome in children, and adenoviral infection: a scoring system to guide differential diagnosis.

Marianna Fabi, Arianna Dondi, Laura Andreozzi, Leonardo Frazzoni, Giovanni Battista Biserni, Francesco Ghiazza, Elton Dajti, Rocco Maurizio Zagari, Marcello Lanari

Open access · hybridAbstract read
In one paragraph

Article in European journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 12 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

9 authors at 2 institutions in 1 country.

Marianna FabiPediatric Emergency Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, via Massarenti 9, 40138, Bologna, Italy.
Arianna DondiPediatric Emergency Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, via Massarenti 9, 40138, Bologna, Italy. arianna.dondi2@unibo.it.
Laura AndreozziPediatric Emergency Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, via Massarenti 9, 40138, Bologna, Italy.
Leonardo FrazzoniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Giovanni Battista BiserniSpecialty School of Pediatrics, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Francesco GhiazzaAlma Mater Studiorum, University of Bologna, 40126, Bologna, Italy.
Elton DajtiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Rocco Maurizio ZagariIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marcello LanariPediatric Emergency Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, via Massarenti 9, 40138, Bologna, Italy.
Azienda USL di Bologna · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children with Kawasaki disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), and Adenovirus infections (AI) of the upper respiratory tract show overlapping features. This study aims to develop a scoring system based on clinical or laboratory parameters to differentiate KD or MIS-C from AI patients. Ninety pediatric patients diagnosed with KD (n = 30), MIS-C (n = 26), and AI (n = 34) admitted to the Pediatric Emergency Unit of S.Orsola University Hospital in Bologna, Italy, from April 2018 to December 2021 were enrolled. Demographic, clinical, and laboratory data were recorded. A multivariable logistic regression analysis was performed, and a scoring system was subsequently developed. A simple model (clinical score), including five clinical parameters, and a complex model (clinic-lab score), resulting from the addition of one laboratory parameter, were developed and yielded 100% sensitivity and 80% specificity with a score ≥2 and 98.3% sensitivity and 83.3% specificity with a score ≥3, respectively, for MIS-C and KD diagnosis, as compared to AI.

conclusionThis scoring system, intended for both outpatients and inpatients, might limit overtesting, contribute to a more effective use of resources, and help the clinician not underestimate the true risk of KD or MIS-C among patients with an incidental Adenovirus detection. WHAT IS KNOWN: • Kawasaki Disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C) and adenoviral infections share overlapping clinical presentation in persistently febrile children, making differential diagnosis challenging. • Scoring systems have been developed to identify high-risk KD patients and discriminate KD from MIS-C patients. WHAT IS NEW: • This is the first scoring model based on clinical criteria to distinguish adenoviral infection from KD and MIS-C. • The score might be used by general pediatricians before referring febrile children to the emergency department.

Indexed as

Adenoviridae InfectionsMucocutaneous Lymph Node SyndromeChildCOVID-19Diagnosis, DifferentialFeverHumansSystemic Inflammatory Response SyndromeAdenovirusDiagnostic scoreFeverKawasaki diseaseMIS-CViral infections

Identifiers

PMID37597046
PMCPMC10640425
OpenAlexW4386000994

What OpenQuestion holds

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LicenceCC BY
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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.