Evidence map›Paper›PMID 40142509›Full record

ArticleMicroorganisms2025

Evaluation of the Microbiological Performance and Potential Clinical Impact of New Rapid Molecular Assays for the Diagnosis of Bloodstream Infections.

Mateo Tićac, Tanja Grubić Kezele, Maja Abram, Marina Bubonja-Šonje

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Challenges and opportunities in the management of severe pneumonia. Key concepts from the Seventh Annual Meeting of Spanish Experts 2025.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
  2. Epidemiological and Clinical Characteristics ofTropical medicine and infectious disease · 2025
    Article
  3. 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

4 authors.

Mateo TićacDepartment of Anestesiology and Intensive Care, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia.ORCID 0009-0002-8631-3472
Tanja Grubić KezeleDepartment of Clinical Microbiology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0001-6769-5263
Maja AbramDepartment of Clinical Microbiology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia.
Marina Bubonja-ŠonjeDepartment of Clinical Microbiology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0001-6565-3377

Funding

University of Rijeka uniri-iskusni-biomed-23-26University of Rijeka uniri-iskusni-biomed-23-6
6 · The paper itself

Abstract

Bloodstream infection (BSI) is a critical medical emergency associated with a high mortality rate. Rapid and accurate identification of the causative pathogen and the results of antimicrobial susceptibility testing are crucial for initiating appropriate antimicrobial therapy. The aim of this study was to evaluate the performance of a new rapid PCR Molecular Mouse System (MMS) for the identification of Gram-negative bacteria (GNB) and GNB resistance genes directly from a positive blood culture (BC). The validation of these rapid multiplex assays was carried out in a real hospital setting. A total of 80 BSI episodes were included in our study and the results were compared with culture-based methods. BC samples in which GNB had previously been detected microscopically and which originated from different hospital wards were analysed. The MMS GNB identification assay achieved a sensitivity of 98.7% and a specificity of 100% for the covered pathogens. In one BC sample,

Indexed as

antimicrobial resistanceblood culturebloodstream infectionMolecular Mouse

Identifiers

PMID40142509
PMCPMC11945193

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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.