Evidence map›Paper›PMID 38978839›Full record

ArticleFrontiers in pediatrics2024

Clinical and hematological characteristics of children infected with the omicron variant of SARS-CoV-2: role of the combination of the neutrophil: lymphocyte ratio and eosinophil count in distinguishing severe COVID-19.

Qiaoyan Jin, Wenxian Ma, Wei Zhang, Huiyuan Wang, Yiongxiang Geng, Yan Geng, Yang Zhang, Dan Gao, Jing Zhou, Lin Li and 5 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

15 authors.

Qiaoyan Jin *Department of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenxian Ma *Department of Biochemistry and Molecular Biology, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Wei Zhang *Xijing 986 Hospital Department, Air Force Medical University, Xi'an, China.
Huiyuan WangDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yiongxiang GengDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yan GengDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yang ZhangDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Dan GaoDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jing ZhouDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lin LiXijing 986 Hospital Department, Air Force Medical University, Xi'an, China.
Yaping GouDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xi'an, China.
Bo ZhongDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jing LiDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wei HouDepartment of Pediatrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shemin LuDepartment of Biochemistry and Molecular Biology, Xi'an Jiaotong University Health Science Center, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Investigate the clinical/hematological characteristics of children infected with the Omicron variant of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) and identify an effective indicator to distinguish coronavirus disease 2019 (COVID-19) severity in children. Methods: A retrospective study was conducted through electronic medical records from pediatric patients. The demographic, clinical, and routine blood test (RBT) features of children diagnosed by real-time PCR for SARS-CoV-2 were collected. Results: Data of 261 patients were analyzed. The most common abnormality shown by RBTs was increased monocyte count (68%). Children had "mild-moderate" or "severe" forms of COVID-19. Prevalence of abnormal neutrophil count ( Conclusions: Combination of the NLR and eosinophil count might be a promising indicator for identifying severe COVID-19 in children at infection onset.

Indexed as

childrenCOVID-19eosinophil countneutrophil: lymphocyte ratiosevere infection

Identifiers

PMID38978839
PMCPMC11228319

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