Evidence map›Paper›PMID 31908145›Full record

ArticleMicrobiologyOpen2020

UF-5000 flow cytometer: A new technology to support microbiologists' interpretation of suspected urinary tract infections.

Roberto Ippoliti, Isabella Allievi, Andrea Rocchetti

Open access · goldAbstract read
In one paragraph

Article in MicrobiologyOpen, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Deep Learning-Based Rapid Identification ofRisk management and healthcare policy · 2026
    Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors at 2 institutions in 2 countries.

Roberto IppolitiFaculty of Business Administration and Economics, University of Bielefeld, Germany.ORCID 0000-0001-9199-452X
Isabella AllieviMicrobiologia, Azienda Ospedaliera SS. Antonio e Biagio e C. Arrigo, Alessandria, Italy.
Andrea RocchettiMicrobiologia, Azienda Ospedaliera SS. Antonio e Biagio e C. Arrigo, Alessandria, Italy.
Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo · ITBielefeld University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case study aims to describe the adoption of an innovative flow cytometer (i.e., UF-5000), which can support the microbiologists' process of diagnosing suspected urinary tract infections (UTIs). The new clinical information provided can be used to improve the identification of both contamination and colonization, thus reducing inappropriate antibiotic prescriptions. In July and August 2017, the Microbiology Laboratory of Alessandria (Italy) conducted a retrospective monocentric study analyzing data about 1,295 urine specimens from inpatients and outpatients with symptoms of UTIs. The results of this study show that the innovative technology can successfully support the diagnostic process in microbiology laboratories and, consequently, the supply of sustainable treatments by hospitals.

Indexed as

Flow CytometryMicrobiological TechniquesHumansReproducibility of ResultsSensitivity and SpecificityUrinary Tract Infectionsflow cytometerscreeningsustainability of health treatmentsurinary tract infectionurine culture

Identifiers

PMID31908145
PMCPMC7066453
OpenAlexW2999791228

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.