Evidence map›Paper›PMID 39734335›Full record

ArticleTurkish journal of medical sciences2024

A new scoring in differential diagnosis: multisystem inflammatory syndrome or adenovirus infection?

Mustafa Gençeli, Talha Üstüntaş, Özge Metin Akcan, Sinan Saylik, Fatih Ercan, Sevgi Pekcan, Sipil Gençeli, Sevgi Yaşar Durmuş, Mustafa Argun

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2024. 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
–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

2 citing papers in PubMed.

  1. Observational
  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

9 authors.

Mustafa GençeliDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkiye.ORCID https://orcid.org/0000-0001-9455-2735
Talha ÜstüntaşDepartment of Pediatrics, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkiye.ORCID https://orcid.org/0009-0004-2385-0953
Özge Metin AkcanDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkiye.ORCID https://orcid.org/0000-0002-3465-6994
Sinan SaylikDepartment of Pediatrics, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkiye.ORCID https://orcid.org/0009-0007-7683-668X
Fatih ErcanDepartment of Pediatric Chest Diseases, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkiye.ORCID https://orcid.org/0000-0001-5252-7806
Sevgi PekcanDepartment of Pediatric Chest Diseases, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkiye.ORCID https://orcid.org/0000-0002-8059-902X
Sipil GençeliDepartment of Pediatrics, Konya City Hospital, Konya, Turkiye.ORCID https://orcid.org/0000-0002-2923-9571
Sevgi Yaşar DurmuşDepartment of Pediatrics Infectious Diseases, Kayseri City Hospital, Kayseri, Turkiye.ORCID https://orcid.org/0000-0003-4226-7312
Mustafa ArgunDepartment of Pediatrics Cardiology, Kayseri City Hospital, Kayseri, Turkiye.ORCID https://orcid.org/0000-0003-2357-7980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Differentiating multisystem inflammatory syndrome in children (MIS-C) from adenovirus infection (AI) can be challenging due to similar clinical and laboratory findings. This study aimed to identify distinguishing characteristics and develop a scoring system to facilitate accurate diagnosis. Materials and methods: A comprehensive review of medical records was undertaken for 108 MIS-C patients and 259 patients with confirmed AI. A comparison of laboratory data and clinical findings was conducted across the patient groups using appropriate statistical tests. Results: The MIS-C patients were significantly older than the AI patients (p < 0.001). Diarrhea, rash, abdominal pain, vomiting, nonexudative conjunctivitis, lymphadenopathy tachycardia, bradycardia, hypotension, hypoxia seizures, agitation, headache, and altered consciousness symptoms were more frequently associated with MIS-C (p < 0.001), while cough and runny nose were significantly more common in AI (p < 0.001). Lymphopenia and thrombocytopenia were more prevalent in the MIS-C patients (p < 0.001). AI and MIS-C were scored by giving one point each to the parameters that created the difference. For AI, being ≤60 months of age, the presence of cough, runny nose and absence of diarrhea, rash, abdominal pain, vomiting, nonexudative conjunctivitis, lymphadenopathy, tachycardia, bradycardia, hypotension, hypoxia seizures, agitation, headache, and altered consciousness, lymphopenia, thrombocytopenia, and C-reactive protein value <124.5 mg/L were determined as each parameter plus one point. A total score above 14 could predict AI with a high degree of accuracy, with sensitivity at around 97.5% and specificity at 92.6%. Conclusion: The proposed inpatient scoring system, when used in conjunction with polymerase chain reaction testing, may improve the early differentiation of AI and MIS-C. This approach could help reduce unnecessary testing and optimize resource allocation. Further research with larger samples should investigate this novel scoring system to establish its reliability and generalizability.

Indexed as

Systemic Inflammatory Response SyndromeAdenoviridae InfectionsAdolescentChildChild, PreschoolCOVID-19Diagnosis, DifferentialFemaleHumansInfantMaleRetrospective StudiesAdenovirus infectionmultisystem inflammatory syndrome in childrenscoring

Identifiers

PMID39734335
PMCPMC11673662

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.