Evidence map›Paper›PMID 35956234›Full record

ArticleJournal of clinical medicine2022

Evaluation of Baseline Characteristics and Prognostic Factors in Multisystemic Inflammatory Syndrome in Children: Is It Possible to Foresee the Prognosis in the First Step?

Benhur Sirvan Cetin, Ayşenur Paç Kısaarslan, Sedanur Tekin, Merve Basol Goksuluk, Ali Baykan, Başak Nur Akyıldız, Yılmaz Seçilmiş, Hakan Poyrazoglu, On Behalf Of The Erciyes Mis-C Study Group

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 1 institution in 1 country.

Benhur Sirvan CetinDivision of Pediatric Infectious Diseases, Department of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.ORCID 0000-0002-8470-4907
Ayşenur Paç KısaarslanDivision of Pediatric Rheumatology, Department of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.
Sedanur TekinDepartment of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.
Merve Basol GoksulukDepartment of Biostatistics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.
Ali BaykanDivision of Pediatric Cardiology, Department of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.
Başak Nur AkyıldızDivision of Pediatric Intensive Care Unit, Department of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.
Yılmaz SeçilmişDivision of Pediatric Emergency, Department of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.ORCID 0000-0002-2195-3551
Hakan PoyrazogluDivision of Pediatric Rheumatology, Department of Pediatrics, Faculty of Medicine, Erciyes University, 38039 Kayseri, Turkey.ORCID 0000-0002-5142-8432
On Behalf Of The Erciyes Mis-C Study Group
Erciyes University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Two years after the first cases, critical gaps remain in identifying prognostic factors in multisystem inflammatory syndrome in children (MIS-C). Methods: This retrospective study included 99 patients with MIS-C hospitalized between August 2020 and March 2022 in a pediatric tertiary center. The patients were divided into two groups according to clinical severity (low- and high-risk). Prognostic values of baseline clinical and laboratory characteristics were evaluated with advanced statistical analysis, including machine learning. Results: Sixty-three patients were male, and the median age was 83 (3−205) months. Fifty-nine patients (59.6%) were low-risk cases. Patients aged six years and over tended to be at higher risk. Involvement of aortic or tricuspid valve or >1 valve was more frequent in the high-risk group. Mortality in previously healthy children was 3.2%. Intensive care unit admission and mortality rate in the high-risk group were 37.5% and 7.5%, respectively. At admission, high-risk patients were more likely to have reduced lymphocyte count and total protein level and increased brain natriuretic peptide (BNP), ferritin, D-dimer, and troponin concentrations. The multiple logistic regression model showed that BNP, total protein, and troponin were associated with higher risk. When the laboratory parameters were used together, BNP, total protein, ferritin, and D-dimer provided the highest contribution to the discrimination of the risk groups (100%, 89.6%, 85.6%, and 55.8%, respectively). Conclusions: Our study widely evaluates and points to some clinical and laboratory parameters that, at admission, may indicate a more severe course. Modeling studies with larger sample groups are strongly needed.

Indexed as

COVID-19multisystem inflammatory syndrome in children (MIS-C)prognosisrisk classification

Identifiers

PMID35956234
PMCPMC9369528
OpenAlexW4298279910

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.