Evidence map›Paper›PMID 39263242›Full record

ArticlePublic health in practice (Oxford, England)2024

An opportunity missed: Strengthening health system data on multisystem inflammatory syndrome in children from low- and middle-income countries in Asia.

D S Ong, P V Licciardi, K Mulholland, L A H Do

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

D S OngInfection, Immunity & Global Health, Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia.
P V LicciardiInfection, Immunity & Global Health, Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia.
K MulhollandInfection, Immunity & Global Health, Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia.
L A H DoInfection, Immunity & Global Health, Murdoch Children's Research Institute, The Royal Children's Hospital, 50 Flemington Road, Parkville, Victoria, 3052, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multisystem inflammatory syndrome in children (MIS-C) is a severe complication associated with SARS-CoV-2 infection. The clinical epidemiology of MIS-C is not completely understood in low- and middle-income countries (LMICs) due to limited reporting, including in Asia where there was a substantial burden of COVID-19. We aimed to discuss the challenges of diagnosing MIS-C and factors which may cause children from Asian LMICs to have an increased risk of MIS-C. Methods: Not applicable. Results: The burden of MIS-C in Asian LMICs may be disproportionately high due to underlying risk factors, resource-limited health systems, and the increased infectivity and transmissibility of recent SARS-CoV-2 variants. Complex clinical features of MIS-C contributed to missed or delayed diagnosis and treatment, while underlying risk factors including ethnicity, chronic health conditions, and socioeconomic factors may have predisposed children in Asian LMICs to MIS-C. Conclusions: There was a lack of data on the clinical epidemiology of MIS-C in Asian LMICs during the COVID-19 pandemic, despite reports of higher paediatric mortality rates compared to high-income countries. This highlights the need for LMICs to have strong surveillance systems to collect high-quality and timely data on newly emerging complications associated with a pandemic, such as MIS-C. This will lead to rapid understanding of these emerging complications, and inform clinical management, disease prevention and health system planning.

Indexed as

Child healthCOVID-19Global healthMIS-CPublic health

Identifiers

PMID39263242
PMCPMC11387219

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LicenceCC BY-NC-ND
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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.