Evidence map›Paper›PMID 39144426›Full record

ArticleTranslational pediatrics2024

Construction of a predictive model of respiratory endoscopic intervention in children with lobar pneumonia caused by

Yan Li, Jiahui Zhang, Xiaoqian Yang, Ting Wang, Yongdong Yan, Li Huang, Jufen Xu, Zhengrong Chen

Abstract read
In one paragraph

Article in Translational pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Biomarkers associated with the diagnosis and prognosis ofFrontiers in cellular and infection microbiology · 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

8 authors.

Yan Li *Department of Infectious Disease, Children's Hospital of Soochow University, Suzhou, China.
Jiahui Zhang *Department of Child Rehabilitation and Health, Shengli Oilfield Central Hospital, Dongying, China.
Xiaoqian Yang *Department of Pediatrics, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ting WangDepartment of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.
Yongdong YanDepartment of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.
Li HuangDepartment of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.
Jufen XuDepartment of Pediatrics, The Sixth People's Hospital of Kunshan, Kunshan, China.
Zhengrong ChenDepartment of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to analyze the clinical features of children with lobar pneumonia caused by Methods: We collected the clinical data of 533 children with lobar pneumonia caused by MP infection. The patients were divided into three groups according to the interventional indications for bronchoscopy and whether they were treated with bronchoscopic intervention, and the clinical features and prognosis of the three groups were compared. A binary logistic regression analysis was performed on the indicators with a significance value of P<0.05, which we retrieved from the comparative analysis between the first two groups to uncover the independent risk factors and regression equations concerning bronchoscopic intervention. The regression coefficient (β) of our regression model was then used to score related values in the model to construct a predictive scoring model of bronchoscopic intervention for the treatment of children with lobar pneumonia caused by MP infection. Results: Children with lobar pneumonia caused by MP infection who demonstrated absolute indications for bronchoscopy exhibited more severe clinical manifestations, and children without absolute indications for bronchoscopy had a better prognosis even without bronchoscopic intervention. To establish our early warning model of bronchoscopic intervention for children with lobar pneumonia caused by MP infection, we used the following indices: C-reactive protein ≥20.94 mg/L (β Conclusions: When the score for the children with lobar pneumonia caused by MP infection was ≥6, the possibility of bronchoscopic intervention for treatment was >80%. The higher the score, the greater the possibility of bronchoscopic intervention.

Indexed as

Lobar pneumoniaMycoplasma pneumoniae (MP)predictive modelprognosisrisk factors

Identifiers

PMID39144426
PMCPMC11320003

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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.