Evidence map›Paper›PMID 38017007›Full record

ArticleScientific reports2023

Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program.

Suchitra Rao, Naimin Jing, Xiaokang Liu, Vitaly Lorman, Mitchell Maltenfort, Julia Schuchard, Qiong Wu, Jiayi Tong, Hanieh Razzaghi, Asuncion Mejias and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Pediatric Long COVID Subphenotypes: An EHR-based study from the RECOVER program.medRxiv : the preprint server for health sciences · 2024
    Article
  10. Article
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Suchitra Rao *Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, 13123 E 16th Ave Box 090, Aurora, CO, 80045, USA. suchitra.rao@childrenscolorado.org.
Naimin Jing *Department of Biostatistics, Epidemiology and Informatics, The Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Blockley Hall 602, Philadelphia, PA, 19104, USA.
Xiaokang LiuDepartment of Biostatistics, Epidemiology and Informatics, The Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Blockley Hall 602, Philadelphia, PA, 19104, USA.
Vitaly LormanApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Mitchell MaltenfortApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Julia SchuchardApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Qiong WuDepartment of Biostatistics, Epidemiology and Informatics, The Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Blockley Hall 602, Philadelphia, PA, 19104, USA.
Jiayi TongDepartment of Biostatistics, Epidemiology and Informatics, The Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Blockley Hall 602, Philadelphia, PA, 19104, USA.
Hanieh RazzaghiApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Asuncion MejiasDivision of Infectious Diseases, Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University, Columbus, OH, USA.
Grace M LeeDepartment of Pediatrics (Infectious Diseases), Stanford University School of Medicine, Stanford, CA, USA.
Nathan M PajorDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Grant S SchulertDivision of Rheumatology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Deepika ThackerDivision of Cardiology, Nemours Children's Health, Wilmington, DE, USA.
Ravi JhaveriDivision of Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Dimitri A ChristakisCenter for Child Health, Behavior and Development, Seattle Children's Hospital, Seattle, WA, USA.
L Charles BaileyApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Christopher B ForrestApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Yong ChenDepartment of Biostatistics, Epidemiology and Informatics, The Perelman School of Medicine, University of Pennsylvania, 423 Guardian Dr, Blockley Hall 602, Philadelphia, PA, 19104, USA. ychen123@pennmedicine.upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-system inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection in children, and there is a critical need to unfold its highly heterogeneous disease patterns. Our objective was to characterize the illness spectrum of MIS-C for improved recognition and management. We conducted a retrospective cohort study using data from March 1, 2020-September 30, 2022, in 8 pediatric medical centers from PEDSnet. We included 1139 children hospitalized with MIS-C and used their demographics, symptoms, conditions, laboratory values, and medications for analyses. We applied heterogeneity-adaptive latent class analyses and identified three latent classes. We further characterized the sociodemographic and clinical characteristics of the latent classes and evaluated their temporal patterns. Class 1 (47.9%) represented children with the most severe presentation, with more admission to the ICU, higher inflammatory markers, hypotension/shock/dehydration, cardiac involvement, acute kidney injury and respiratory involvement. Class 2 (23.3%) represented a moderate presentation, with 4-6 organ systems involved, and some overlapping features with acute COVID-19. Class 3 (28.8%) represented a mild presentation. Our results indicated that MIS-C has a spectrum of clinical severity ranging from mild to severe and the proportion of severe or critical MIS-C decreased over time.

Indexed as

Connective Tissue DiseasesSystemic Inflammatory Response SyndromeChildCohort StudiesCOVID-19HumansRetrospective Studies

Identifiers

PMID38017007
PMCPMC10684592

What OpenQuestion holds

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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.