Evidence map›Paper›PMID 42544351›Full record

ArticleInfectious diseases & clinical microbiology2026

Epidemiological and Laboratory Evaluation of Central Nervous System Infections Using the BioFire FilmArray Meningitis/Encephalitis Panel in a Tertiary Care Hospital in İstanbul.

Serpil S Çuğlan, Arzu İrvem, Mahmure Aslan, Derya Çakır-Erdoğan, Gülşah E Özmerdiven

Abstract read
In one paragraph

Article in Infectious diseases & clinical microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 authors.

Serpil S ÇuğlanDepartment of Medical Microbiology, Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0009-0009-9074-1163
Arzu İrvemDepartment of Medical Microbiology, Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0000-0003-1307-4538
Mahmure AslanDepartment of Medical Biochemistry, Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0009-0003-2418-4975
Derya Çakır-ErdoğanDepartment of Medical Microbiology, Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0000-0003-4894-3844
Gülşah E ÖzmerdivenDepartment of Medical Mycology, Kanuni Sultan Süleyman Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0000-0001-6456-5236

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Rapid and accurate identification of central nervous system (CNS) pathogens is essential for appropriate antimicrobial management. This study aimed to evaluate the performance of the BioFire FilmArray Meningitis/Encephalitis (ME) Panel compared with conventional cerebrospinal fluid (CSF) analysis. Materials and Methods: This retrospective study was conducted at a tertiary care hospital over a three-year period. Cerebrospinal fluid samples were analyzed using routine microbiological methods (culture and Gram staining), cytological examination, biochemical testing, and multiplex PCR with the BioFire FilmArray ME Panel. Results: A total of 1470 CSF samples were analyzed, and pathogens were detected in 104 samples (7.1%), including 57 viral pathogens, 39 bacterial pathogens, one fungal pathogen, and six co-infections. Culture positivity was observed in one case each of Conclusion: The BioFire FilmArray ME Panel, when interpreted in conjunction with routine CSF biochemical and cytological parameters, provides a rapid and reliable diagnostic approach for differentiating bacterial from viral CNS infections. Graphical Abstract: Graphical Abstract.

Indexed as

biochemical parametersCerebrospinal fluidFilmArray multiplex PCRmeningitis/encephalitis

Identifiers

PMID42544351
PMCPMC13429218

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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.