Evidence map›Paper›PMID 36545670›Full record

ArticleFrontiers in pediatrics2022

Risk of paediatric multisystem inflammatory syndrome (PIMS-TS) during the SARS-CoV-2 alpha and delta variant waves: National observational and modelling study, 2020-21, England.

Joseph Shingleton, Lucy Burton, Hannah E Williams, Thomas J R Finnie, Emma Bennett, Paul Birrell, Simon Kenny, Tiffany Watson-Koszel, Russell Viner, Moshe Arditi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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  8. Vitamin D may influence disease course in PIMS-TS/MIS-C: An observational cohort study.Pediatrics international : official journal of the Japan Pediatric Society
    Observational
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

13 authors at 7 institutions in 2 countries.

Joseph ShingletonEmergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Lucy BurtonEmergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Hannah E WilliamsEmergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Thomas J R FinnieEmergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Emma BennettEmergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Paul BirrellJoint Modelling Team, UK Health Security Agency, London, United Kingdom.
Simon KennyCYP Transformation Programme Team, Nursing Directorate, NHS England and NHS Improvement, Leeds, England.
Tiffany Watson-KoszelCYP Transformation Programme Team, Nursing Directorate, NHS England and NHS Improvement, Leeds, England.
Russell VinerPopulation, Policy and Practice, UCL Great Ormond St. Institute of Child Health, London, United Kingdom.
Moshe ArditiDepartment of Pediatrics, Division of Infectious Diseases and Immunology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Daniela DeAngelisStatistical Modelling and Economics, UK Health Security Agency, Colindale, United Kingdom.
Nick GentEmergency Preparedness Response and Resilience Directorate, UK Health Security Agency, Porton Down, London, United Kingdom.
Shamez N LadhaniImmunisation and Countermeasures Division, UK Health Security Agency, London, United Kingdom.
UK Health Security AgencyCedars-Sinai Medical Center · USGreat Ormond Street Hospital · GBMRC Biostatistics Unit · GBNHS EnglandSt George's, University of London · GBUniversity of Liverpool · GB

Funding

Medical Research Council MC_UU_00002/11
6 · The paper itself

Abstract

Objectives: Paediatric Multisystem Inflammatory Syndrome (PIMS-TS) is a rare life-threatening complication that typically occurs several weeks after SARS-CoV-2 infection in children and young people (CYP). We used national and regional-level data from the COVID-19 pandemic waves in England to develop a model to predict PIMS-TS cases. Methods: SARS-CoV-2 infections in CYP aged 0-15 years in England were estimated using the PHE-Cambridge real-time model. PIMS-TS cases were identified through the British Paediatric Surveillance Unit during (March-June 2020) and through Secondary Uses Services (SUS) from November 2020. A predictive model was developed to estimate PIMS-TS risk and lag times after SARS-CoV-2 infections. Results: During the Alpha wave, the model accurately predicted PIMS-TS cases (506 vs. 502 observed cases), with a median estimated risk of 0.038% (IQR, 0.037-0.041%) of paediatric SARS-CoV-2 infections. For the Delta wave, the median risk of PIMS-TS was significantly lower at 0.026% (IQR, 0.025-0.029%), with 212 observed PIMS-TS cases compared to 450 predicted by the model. Conclusions: The model accurately predicted national and regional PIMS-TS cases in CYP during the Alpha wave. PIMS-TS cases were 53% lower than predicted during the Delta wave. Further studies are needed to understand the mechanisms of the observed lower risk with the Delta variant.

Indexed as

COVID-19PIMS-TSSARS-CoV-2SARS-CoV-2 alpha variantSARS-COV-2 delta variant

Identifiers

PMID36545670
PMCPMC9762156
OpenAlexW4311626487

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.