Evidence map›Paper›PMID 39587745›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2024

[Clinical characteristics and risk factors of carbapenem-resistant

Yi-Lu Peng, Hong-Mei Wang, Chi Li, Jiao-Sheng Zhang, Li-Feng Qi

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary 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

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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

1 citing paper in PubMed.

  1. Risk prediction of carbapenem-resistantFrontiers in cellular and infection microbiology · 2026
    Article
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

5 authors.

Yi-Lu PengDepartment of Infectious Medicine, Shenzhen Children's Hospital, China Medical University, Shenzhen, Guangdong 518036, China.
Hong-Mei WangDepartment of Infectious Medicine, Shenzhen Children's Hospital, China Medical University, Shenzhen, Guangdong 518036, China.
Chi LiDepartment of Infectious Medicine, Shenzhen Children's Hospital, China Medical University, Shenzhen, Guangdong 518036, China.
Jiao-Sheng ZhangDepartment of Infectious Medicine, Shenzhen Children's Hospital, China Medical University, Shenzhen, Guangdong 518036, China.
Li-Feng QiDepartment of Infectious Medicine, Shenzhen Children's Hospital, China Medical University, Shenzhen, Guangdong 518036, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the clinical characteristics of carbapenem-resistant

methodsA retrospective analysis was conducted among 60 children with CRPA infection (CRPA group) who were hospitalized in Shenzhen Children's Hospital, China Medical University, from January 2018 to September 2023, and 82 children with carbapenem-sensitive

resultsAmong the 60 children with CRPA infection, 31 (52%) were admitted to the intensive care unit (ICU), and the lower respiratory tract was the main detection site in 32 children (53%). The univariate analysis showed that sex, history of invasive treatment within 1 year, antibiotic use before admission, presence of underlying condition, ICU admission, invasive procedure after admission, antibiotic use for >14 days, and the type of antibiotics used of ≥3 were associated with CRPA infection (

conclusionsCRPA infection in children may be associated with a history of invasive treatment within the past year, antibiotic use before admission, duration of antibiotic use after admission, and the diversity of antibiotic types used.

Indexed as

Anti-Bacterial AgentsCarbapenemsPseudomonas aeruginosaPseudomonas InfectionsAdolescentChildChild, PreschoolDrug Resistance, BacterialFemaleHumansInfantLogistic ModelsMaleRetrospective StudiesRisk FactorsAnti-Bacterial AgentsCarbapenemsCarbapenem-resistant Pseudomonas aeruginosaChildClinical characteristicRisk factor

Identifiers

PMID39587745
PMCPMC11601102

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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.