Evidence map›Paper›PMID 42756995›Full record

ReviewCureus2026

Bacterial Pathogens Causing Ventilator-Associated Pneumonia in Mechanically Ventilated Children: A Systematic Review and Meta-Analysis.

Mohamed M Elabd, Ahmed M Omran

Abstract readReview
In one paragraph

Review in Cureus, 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

2 authors.

Mohamed M ElabdPediatric Critical Care Unit, King Fahad Medical City, Riyadh, SAU.
Ahmed M OmranPediatric Intensive Care Unit, King Fahad Medical City, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVentilator-associated pneumonia (VAP) remains a major healthcare-associated infection in pediatric and neonatal intensive care units (PICUs and NICUs). The microbiological etiology of pediatric VAP varies considerably across geographic regions, and a comprehensive global quantitative synthesis spanning both PICU and NICU settings using modern quality appraisal frameworks is lacking.

objectivesTo estimate the global pooled prevalence of individual bacterial pathogens causing VAP in mechanically ventilated children and to characterize the burden of multidrug-resistant (MDR) organisms.

methodsFollowing PRISMA 2020 guidelines and a prospective International Prospective Register of Systematic Reviews (PROSPERO)-registered protocol, we searched MEDLINE/PubMed, Scopus, Cochrane CENTRAL, and Web of Science for studies published between January 2015 and December 2025. Studies reporting bacterial pathogens isolated from children (0-18 years) on invasive mechanical ventilation for >= 48 hours were eligible. Pooled prevalence proportions and 95% confidence intervals (CIs) were estimated using the DerSimonian-Laird random-effects model after logit transformation. Subgroup analyses were performed by data reporting type (patient-based versus isolate-based). The certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.

resultsEighteen studies encompassing 1,524 VAP episodes across 13 countries were included. Gram-negative bacteria predominated, with a pooled prevalence of 76.30% (95% CI: 65.55-84.49%; I² = 93.0%). Gram-positive bacteria accounted for 13.73% (95% CI: 8.85-20.69%; I² = 88.2%). The most frequent individual pathogens were

conclusionsGram-negative bacilli, particularly

Indexed as

bacteriaklebsiellameta-analysismultidrug resistancenicupediatricpicupseudomonas aeruginosaventilator-associated pneumonia

Identifiers

PMID42756995
PMCPMC13584980

What OpenQuestion holds

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Registered trials

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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.