Evidence map›Paper›PMID 33602802›Full record

ArticlePediatrics2021

Socioeconomic and Racial and/or Ethnic Disparities in Multisystem Inflammatory Syndrome.

Karina Javalkar, Victoria K Robson, Lukas Gaffney, Amy M Bohling, Puneeta Arya, Sarah Servattalab, Jordan E Roberts, Jeffrey I Campbell, Sepehr Sekhavat, Jane W Newburger and 11 more

Abstract readMulticenter Study
In one paragraph

Article in Pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
–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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. MIS-C: Diagnosis, Management, and Outcomes.Open forum infectious diseases · 2026
    Review
  6. Article
  7. Article
  8. New avenues in childhood vasculitis.Pediatric rheumatology online journal · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Karina JavalkarDepartments of Medicine and.
Victoria K RobsonDepartments of Medicine and.
Lukas GaffneyDepartments of Medicine and.
Amy M BohlingDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Puneeta AryaDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Sarah ServattalabDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Jordan E RobertsDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Jeffrey I CampbellDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Sepehr SekhavatDepartment of Pediatrics, Boston University, Boston, Massachusetts.
Jane W NewburgerDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Sarah D de FerrantiDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Annette L BakerDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Pui Y LeeDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Megan Day-LewisDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Emily BucholzDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Ryan KobayashiDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Mary Beth SonDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Lauren A HendersonDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
John N KheirDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Kevin G FriedmanDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts.
Audrey DionneDepartment of Pediatrics, Harvard Medical School, Harvard University, Boston, Massachusetts; audrey.dionne@cardio.chboston.org.

Funding

MOLECULAR BASIS OF ALLERGIC AND IMMUNOLOGIC DISEASET32AI007512 · NIAID · CHILDREN'S HOSPITAL BOSTON · PI Janet Chou, Peter A Nigrovic · 1996 to 2026
$13.1M
Training in Child Health Services Research and Implementation ScienceT32HS000063 · AHRQ · CHILDREN'S HOSPITAL BOSTON · PI GARABEDIAN, LAURA FADEN, WALSH, KATHLEEN ELIZABETH · 1994 to 2024
$7.6M
The Reprogramming of Regulatory T cells to a Th17 Phenotype in Systemic Juvenile Idiopathic ArthritisK08AR073339 · NIAMS · BOSTON CHILDREN'S HOSPITAL · PI HENDERSON, LAUREN A · 2018 to 2022
$840k
AHRQ HHS T32 HS000063NIAID NIH HHS T32 AI007512NIAMS NIH HHS K08 AR073339NIH HHS 5T32AI007512
6 · The paper itself

Abstract

objectivesTo characterize the socioeconomic and racial and/or ethnic disparities impacting the diagnosis and outcomes of multisystem inflammatory syndrome in children (MIS-C).

methodsThis multicenter retrospective case-control study was conducted at 3 academic centers from January 1 to September 1, 2020. Children with MIS-C were compared with 5 control groups: children with coronavirus disease 2019, children evaluated for MIS-C who did not meet case patient criteria, children hospitalized with febrile illness, children with Kawasaki disease, and children in Massachusetts based on US census data. Neighborhood socioeconomic status (SES) and social vulnerability index (SVI) were measured via a census-based scoring system. Multivariable logistic regression was used to examine associations between SES, SVI, race and ethnicity, and MIS-C diagnosis and clinical severity as outcomes.

resultsAmong 43 patients with MIS-C, 19 (44%) were Hispanic, 11 (26%) were Black, and 12 (28%) were white; 22 (51%) were in the lowest quartile SES, and 23 (53%) were in the highest quartile SVI. SES and SVI were similar between patients with MIS-C and coronavirus disease 2019. In multivariable analysis, lowest SES quartile (odds ratio 2.2 [95% confidence interval 1.1-4.4]), highest SVI quartile (odds ratio 2.8 [95% confidence interval 1.5-5.1]), and racial and/or ethnic minority background were associated with MIS-C diagnosis. Neither SES, SVI, race, nor ethnicity were associated with disease severity.

conclusionsLower SES or higher SVI, Hispanic ethnicity, and Black race independently increased risk for MIS-C. Additional studies are required to target interventions to improve health equity for children.

Indexed as

Socioeconomic FactorsBlack or African AmericanCase-Control StudiesCOVID-19FemaleHispanic or LatinoHumansMaleMassachusettsRetrospective StudiesRisk FactorsSocial Determinants of HealthSystemic Inflammatory Response SyndromeWhite People

Identifiers

PMID33602802
PMCPMC8086000

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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.