Evidence map›Paper›PMID 39220151›Full record

ArticleFrontiers in pediatrics2024

Clinical characteristics, treatment and prognosis of children with SARS-CoV-2 infection complicated with severe neurological dysfunctions in Foshan, China.

Xiaoqian Chen, Yongqi Liang, Suhua Jiang

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

3 authors.

Xiaoqian ChenDepartment of Pediatrics, First People's Hospital of Foshan, Guangdong, China.
Yongqi LiangDepartment of Pediatrics, First People's Hospital of Foshan, Guangdong, China.
Suhua JiangDepartment of Pediatrics, First People's Hospital of Foshan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the clinical characteristics, treatment, and prognosis of children infected with SARS-CoV-2 following the adjustment of COVID-19 prevention and control policies in China in December 2022. Methods: A retrospective study was conducted on 9 cases of severe neurological dysfunction caused by SARS-CoV-2 infection in children admitted to Foshan First People's Hospital from December 17 to 31, 2022. Results: Among the 9 cases, 7 (71.43%) were under 3 years old, and 2 (22.2%) were over 3 years old with underlying diseases. All patients presented with fever and neurological symptoms such as consciousness disturbance and/or convulsions, and their conditions deteriorated rapidly within 24 h after the onset of fever, without respiratory symptoms. Levels of IL-6, LDH, and d-dimer were significantly elevated. Five cases died within 48 h of admission, one case died after 7 days of treatment due to secondary bacterial infection, and three cases survived for more than 48 h after the initial rescue. All patients developed rapid shock, and five cases experienced multi-organ failure within a short period. In terms of treatment, glucocorticoids were used in 5 cases, intravenous immunoglobulin (IVIG) in 3 cases, and blood purification and tocilizumab in 2 cases. Conclusion: SARS-CoV-2 infection in children can lead to severe neurological damage. High fever, convulsions, and inflammatory factors serve as early warning indicators. Glucocorticoids, immunoglobulins, blood purification, and tocilizumab may have some therapeutic effects, but further research is needed to confirm the efficacy.

Indexed as

neurological damagepediatric patientsSARS-CoV-2severe neurological impairmentwarning indicators

Identifiers

PMID39220151
PMCPMC11362037

What Socratic 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 Socratic graph.