Evidence map›Paper›PMID 33632129›Full record

ArticleBMC infectious diseases2021

Accuracy of urine flow cytometry and urine test strip in predicting relevant bacteriuria in different patient populations.

Christian Gehringer, Axel Regeniter, Katharina Rentsch, Sarah Tschudin-Sutter, Stefano Bassetti, Adrian Egli

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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 2 institutions in 1 country.

Christian GehringerUniversity Hospital Basel, Division of Internal Medicine, University of Basel, Basel, Switzerland.
Axel RegeniterCurrent affiliation: Medica Medical Laboratories Dr. F. Käppeli, Wolfbachstrasse 17, Zurich, Switzerland.
Katharina RentschUniversity Hospital Basel, Division of Clinical Chemistry, University of Basel, Basel, Switzerland.
Sarah Tschudin-SutterInfectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Stefano Bassetti *University Hospital Basel, Division of Internal Medicine, University of Basel, Basel, Switzerland.
Adrian Egli *University Hospital Basel, Division of Clinical Bacteriology and Mycology, University of Basel, Petersgraben 4, 4031, Basel, Switzerland. adrian.egli@usb.ch.
University of Basel · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary tract infection (UTI) is diagnosed combining urinary symptoms with demonstration of urine culture growth above a given threshold. Our aim was to compare the diagnostic accuracy of Urine Flow Cytometry (UFC) with urine test strip in predicting bacterial growth and in identifying contaminated urine samples, and to derive an algorithm to identify relevant bacterial growth for clinical use.

methodsSpecies identification and colony-forming unit (CFU/ml) quantification from bacterial cultures were matched to corresponding cellular (leucocytes/epithelial cells) and bacteria counts per μl. Results comprise samples analysed between 2013 and 2015 for which urine culture (reference standard) and UFC and urine test strip data (index tests, Sysmex UX-2000) were available.

results47,572 urine samples of 26,256 patients were analysed. Bacteria counts used to predict bacterial growth of ≥10

conclusionsPrediction of a relevant bacterial growth by bacteria counts was most accurate and was a better predictor than leucocyte counts independently of the source of the urine and the medical specialty ordering the test (medical, surgical or others).

Indexed as

AdolescentAdultAgedAged, 80 and overAlgorithmsBacterial LoadBacteriuriaChildChild, PreschoolFemaleFlow CytometryHumansInfantInfant, NewbornLeukocyte CountMaleReagent StripsBacteria countDiagnosisFlow CytometryUrinalysisUrinary tract infectionUrine test strip

Identifiers

PMID33632129
PMCPMC7908726
OpenAlexW3129774958

What OpenQuestion holds

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LicenceCC BY
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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.