Evidence map›Paper›PMID 40005787›Full record

ArticleMicroorganisms2025

Cross-Sectional Assessment on Carbapenem-Resistant Gram-Negative Bacteria Isolated from Patients in Moldova.

Vadim Nirca, Frieder Fuchs, Tessa Burgwinkel, Rocío Arazo Del Pino, Ecaterina Zaharcenco, Ralf Matthias Hagen, Sven Poppert, Hagen Frickmann, Paul G Higgins

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Vadim NircaMolecular Biology Department, Imunotehnomed Ltd., MD-2001 Chisinau, Moldova.
Frieder FuchsDepartment of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.ORCID 0000-0001-7075-5378
Tessa BurgwinkelInstitute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine, University Hospital Cologne, University of Cologne, 50931 Cologne, Germany.
Rocío Arazo Del PinoInstitute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine, University Hospital Cologne, University of Cologne, 50931 Cologne, Germany.
Ecaterina ZaharcencoMolecular Biology Department, Imunotehnomed Ltd., MD-2001 Chisinau, Moldova.
Ralf Matthias HagenDepartment of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.ORCID 0000-0003-4875-1519
Sven PoppertBernhard Nocht Institute for Tropical Medicine Hamburg, 20359 Hamburg, Germany.ORCID 0000-0003-4873-249X
Hagen FrickmannDepartment of Microbiology and Hospital Hygiene, Bundeswehr Hospital Hamburg, 20359 Hamburg, Germany.ORCID 0000-0002-8967-9528
Paul G HigginsInstitute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine, University Hospital Cologne, University of Cologne, 50931 Cologne, Germany.ORCID 0000-0001-8677-9454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on the molecular epidemiology and carbapenem resistance mechanisms in Gram-negative bacterial isolates in Moldova is scarce. To close this knowledge gap, carbapenem-resistant Gram-negative bacteria were collected over an 11-month period in a routine diagnostic laboratory in Moldova. Antimicrobial susceptibility was phenotypically and genotypically assessed. Phylogenetic relationships were investigated and multi-locus sequence types were provided. The assessment indicated several clusters of phylogenetically closely related carbapenem-resistant

Indexed as

carbapenem-resistanceepidemiologyGram-negative bacteriasurveillance

Identifiers

PMID40005787
PMCPMC11857927

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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.