Evidence map›Paper›PMID 34965529›Full record

ArticleUrologia internationalis2022

Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients.

Moritz Fritzenwanker, Marcel Oliver Grabitz, Borros Arneth, Harald Renz, Can Imirzalioglu, Trinad Chakraborty, Florian Wagenlehner

Open access · hybridAbstract read
In one paragraph

Article in Urologia internationalis, 2022. 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
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Genome-based development and clinical evaluation of a customized LAMP panel to rapidly detect, quantify, and determine antibiotic sensitivity of Escherichia coli in native urine samples from urological patients.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 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

7 authors at 2 institutions in 1 country.

Moritz FritzenwankerInstitute of Medical Microbiology, Justus Liebig University Giessen, Giessen, Germany.
Marcel Oliver GrabitzInstitute of Medical Microbiology, Justus Liebig University Giessen, Giessen, Germany.
Borros ArnethInstitute of Laboratory Medicine and Pathobiochemistry, Phillips University Marburg, Marburg, Germany.
Harald RenzInstitute of Laboratory Medicine and Pathobiochemistry, Phillips University Marburg, Marburg, Germany.
Can ImirzaliogluInstitute of Medical Microbiology, Justus Liebig University Giessen, Giessen, Germany.
Trinad ChakrabortyInstitute of Medical Microbiology, Justus Liebig University Giessen, Giessen, Germany.
Florian WagenlehnerClinic of Urology, Pediatric Urology and Andrology, Justus Liebig University Giessen, Giessen, Germany.
Justus-Liebig-Universität Gießen · DEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aims of this study were to evaluate urine flow cytometry (UFC) as a tool to screen urine samples of urological patients for bacteriuria and to compare UFC and dipstick analysis with urine culture in a patient cohort at a urological department of a university hospital. METHODS AND MATERIAL: We screened 662 urine samples from urological patients (75.2% male; 80.7% inpatients; mean age 58 years). UFC results were compared to microbiological urine culture.

resultsThe accuracy in using the UFC-based parameters for detecting cultural bacteriuria was 91.99% and 88.97% for ≥105 colony-forming units (CFU)/mL and ≥104 CFU/mL, respectively. UFC and leukocyte dipstick analysis measured leukocyturia similarly (Pearson correlation coefficient 0.87, p value <0.01%), but dipstick analysis scored less accurately on bacteriuria (accuracy 59.37% and 62.69%). UFC remained effective in subgroup analysis of patients of both sexes and with different urological conditions with its overall use only slightly impaired when assessing gross hematuria (NPV 84.62% for ≥104 CFU/mL). UFC also reliably removed those urine samples below cutoffs with negative predictive values of 99.28% for ≥105 CFU/mL and 95.86% for ≥104 CFU/mL.

conclusionCounting bacteria with UFC is an accurate and rapid method to determine significant bacteriuria in urological patients and is superior to dipstick analysis or indirect surrogate parameters such as leukocyturia. When UFC is available, we recommend it to be used for the diagnosis of bacteriuria over findings obtained by dipstick analysis.

Indexed as

BacteriuriaUrinary Tract InfectionsFemaleFlow CytometryHumansLeukocyte CountMaleMiddle AgedSensitivity and SpecificityUrinalysisUrineBacteriuriaFast urine diagnosticInfection controlPresurgical screeningUrinary tract infectionsUrine flow cytometry

Identifiers

PMID34965529
PMCPMC9533459
OpenAlexW4200542496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.