Evidence map›Paper›PMID 41868988›Full record

ArticleAdvanced biomedical research2026

Clinical and Epidemiological Characteristics of Ventilator-associated Pneumonia in Pediatric Intensive Care Units.

Shahareh Babai, Mojtaba Parastegari, Nazanin Zibanejad

Abstract read
In one paragraph

Article in Advanced biomedical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shahareh BabaiDepartment of Pediatric Intensive Care, Imam Hossein Children Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
Mojtaba ParastegariDepartment of Pediatric, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Nazanin ZibanejadDepartment of Pediatric Intensive Care, Imam Hossein Children Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ventilator-associated pneumonia (VAP) is the leading cause of antibiotic use in pediatric intensive care units (PICUs). Given its high prevalence and significant treatment costs, there is a pressing need for comprehensive epidemiological and clinical investigations into this condition. The aim of this study is to determine the frequency of VAP and its association with factors such as age, sex, and the initial diagnosis in patients undergoing mechanical ventilation in the intensive care units (ICU). Materials and Methods: In this study, VAP cases were initially diagnosed based on the clinical and radiological criteria established by the department of pediatric (CDC). Subsequently, the frequency of VAP-associated pathogens and their antimicrobial resistance profiles were assessed in samples obtained from bronchoalveolar lavage (BAL) fluids. Results: Among 119 children who received mechanical ventilation in the ICU of Imam Hossein Hospital, 49 (41.2%) were diagnosed with VAP. Gram-negative organisms were the most common pathogens, with Acinetobacter (30.6%), Klebsiella (18.4%), and Pseudomonas (10.2%) being the most prevalent. The mortality rate among VAP patients (38.8%) was comparable to that of non-VAP patients (38.7%). Conclusion: Patients with VAP had significantly longer durations of mechanical ventilation, ICU stay, and overall hospitalization.

Indexed as

Antimicrobial resistancebronchoalveolar lavageepidemiologypediatric intensive care unitventilator-associated pneumonia

Identifiers

PMID41868988
PMCPMC13004306

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.