Evidence map›Paper›PMID 35625226›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Implementation of a New Protocol for Direct Identification from Urine in the Routine Microbiological Diagnosis.

Yuliya Zboromyrska, Verónica Rico, Cristina Pitart, Mariana José Fernández-Pittol, Álex Soriano, Jordi Bosch

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Antibiotic Resistance in Bacterial Pathogens.Antibiotics (Basel, Switzerland) · 2023
    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

6 authors at 1 institution in 1 country.

Yuliya ZboromyrskaMicrobiology Department, Hospital Clinic, 08036 Barcelona, Spain.
Verónica RicoInfectious Diseases Department, Hospital Clinic, 08036 Barcelona, Spain.
Cristina PitartMicrobiology Department, Hospital Clinic, 08036 Barcelona, Spain.
Mariana José Fernández-PittolMicrobiology Department, Hospital Clinic, 08036 Barcelona, Spain.
Álex SorianoInfectious Diseases Department, Hospital Clinic, 08036 Barcelona, Spain.ORCID 0000-0002-9374-0811
Jordi BoschMicrobiology Department, Hospital Clinic, 08036 Barcelona, Spain.
Hospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The direct identification of uropathogens from urine samples, in combination with the rapid detection of resistance, would allow early adjustment of empirical antimicrobial treatment. Methods: Two hundred and ninety-eight urine samples processed between 1 June and 31 December 2020, selected with flow cytometry, with direct identification by MALDI-TOF mass spectrometry, and rapid detection of extended-spectrum beta-lactamase (ESBL) and carbapenemases-producing strains by lateral flow were analyzed. Results: The positive predictive value of the direct identification of the 86 samples that met the flow cytometry criterion (>5000 bacteria/µL) was 96.4%. Reliable direct identification was obtained in 14 of the 27 (51.8%) urinary source bacteraemias. There was 100% agreement between the lateral flow and antibiogram in the detection of ESBL and carbapenemases. Conclusion: the protocol for the direct identification and rapid detection of ESBL and carbapenemases-producing strains from urine samples is a reliable and useful tool.

Indexed as

carbapenemasesESBLflow cytometryMALDI-TOFurinary tract infectionurine

Identifiers

PMID35625226
PMCPMC9137483
OpenAlexW4224921370

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.