Evidence map›Paper›PMID 39109035›Full record

ArticleWorld journal of clinical cases2024

Serum inflammatory markers in children with

Li-Ping Wang, Zhong-Hua Hu, Jun-Sheng Jiang, Jie Jin

Abstract read
In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Machine learning-based prediction models for severeFrontiers in public health · 2026
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  19. Characteristics ofMicroorganisms · 2025
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  20. World journal of clinical cases · 2025
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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

4 authors.

Li-Ping WangDepartment of Pediatrics, The First People's Hospital of Linping District, Hangzhou 310000, Zhejiang Province, China.
Zhong-Hua HuDepartment of Pediatrics, The First People's Hospital of Linping District, Hangzhou 310000, Zhejiang Province, China.
Jun-Sheng JiangDepartment of Pediatrics, The First People's Hospital of Linping District, Hangzhou 310000, Zhejiang Province, China.
Jie JinDepartment of Pediatrics, Changzhou Children Hospital, Changzhou 213100, Jiangsu Province, China. 3355144716@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

aimTo investigate the correlation between serum inflammatory marker and the severity of MPP in children.

methodsA prospective study was carried out from January 2023 to November 2023. A total of 160 children with MPP who underwent treatment were selected: 80 had severe MPP and 80 had mild MPP. Clinical and laboratory data were collected at the time of hospital admission and during hospitalization. Receiver operating characteristic curves were utilized to assess the diagnostic and prognostic for severe MPP.

resultsFever duration and length of hospitalization in pediatric patients with severe MPP exceeded those with mild MPP. The incidence of pleural effusion, lung consolidation, and bronchopneumonia on imaging was markedly elevated in the severe MPP cohort compared to the mild MPP cohort. In contrast to the mild cohort, there was a notable increase in C-reactive protein (CRP), procalcitonin (PCT), erythrocyte sedimentation rate, lactic dehydrogenase, D-dimer, and inflammatory cytokines [interleukin (IL)-6, IL-8, IL-10 and tumor necrosis factor (TNF)-α] in the severe MPP group were significantly higher.

conclusionSerum inflammatory markers (CRP, PCT, IL-6, D-dimer, IL-10 and TNF-α) were considered as predictors in children with severe MPP.

Indexed as

Children, Community-acquired pneumonia levelsCytokineD-dimerInterleukin-6Mycoplasma pneumoniae pneumonia

Identifiers

PMID39109035
PMCPMC11238786

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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.