Evidence map›Paper›PMID 41369836›Full record

ArticleFolia microbiologica2025

Bacterıal pathogens ın ventılator-assocıated pneumonıa; molecular assessment of resıstance profıles.

Besim Çam, Lokman Hi̇zmali̇, Elif Sevi̇m, Rukiye Akyol

Abstract read
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In one paragraph

Article in Folia microbiologica, 2025. 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

4 authors.

Besim ÇamGraduate School of Health Sciences, Hospıtal Infectıon Control, Kırşehir Ahi Evran University, Kırşehir, Turkey.ORCID http://orcid.org/0000-0003-1582-4494
Lokman Hi̇zmali̇Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, Kırşehir Ahi Evran University, Kırşehir, Turkey. lokmanhzml@ahievran.edu.tr.ORCID http://orcid.org/0000-0001-9548-3030
Elif Sevi̇mFaculty of Medicine, Department of Medical Biology, Kırşehir Ahi Evran University, Kırşehir, Turkey. esevim@ahievran.edu.tr.ORCID http://orcid.org/0000-0002-6455-1333
Rukiye AkyolDepartment of Microbiology, Teaching and Research Hospital, Kırşehir, Turkey.ORCID http://orcid.org/0000-0002-6825-5638

Funding

Ahi Evran Üniversitesi TIP.A4.23.008. TIP.A2.24.008.
6 · The paper itself

Abstract

Ventilator-associated pneumonia (VAP) is the most common infection encountered in intensive care units and is closely linked with elevated mortality, morbidity, and healthcare expenditure. The predominant pathogens responsible for VAP are multidrug-resistant (MDR) Gram-negative bacteria, including Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Escherichia coli. This study aimed to investigate the molecular antibiotic resistance profiles of bacterial isolates from hospital-acquired VAP cases. Conducted between 30 November 2022 and 30 November 2023 at Kırşehir Training and Research Hospital, resistance genes were identified using Polymerase Chain Reaction (PCR), while clonal relatedness and genotyping were assessed through Repetitive Extragenic Palindromic-PCR (rep-PCR) and Multi-Locus Sequence Typing (MLST). The most frequently isolated organisms were A. baumannii (46.2%), K. pneumoniae (42.3%), and P. aeruginosa (7.7%). A. baumannii strains exhibited 100% resistance to ciprofloxacin and carbapenems, and 70.83% to colistin. K. pneumoniae strains demonstrated 94.73% resistance to carbapenems and 100% to piperacillin-tazobactam and colistin. Molecular analyses identified bla

Indexed as

Acinetobacter baumanniiAntimicrobial resistanceKlebsiella pneumoniaeMolecular genotypingVentilator-associated pneumonia

Identifiers

What OpenQuestion holds

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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.