Evidence map›Paper›PMID 31707506›Full record

Trial reportEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

A new point-of-care test for the rapid detection of urinary tract infections.

Alyexandra Arienzo, Valentina Cellitti, Valeria Ferrante, Francesca Losito, Ottavia Stalio, Lorenza Murgia, Rossella Marino, Flavia Cristofano, Michela Orrù, Paolo Visca and 4 more

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. 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
  6. Article
  7. Review
  8. 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

14 authors at 4 institutions in 1 country.

Alyexandra ArienzoScience Department, Università degli Studi Roma Tre, Rome, Italy.
Valentina CellittiInteruniversity Consortium "Istituto Nazionale Biostrutture e Biosistemi" (INBB), Rome, Italy.
Valeria FerranteInteruniversity Consortium "Istituto Nazionale Biostrutture e Biosistemi" (INBB), Rome, Italy.
Francesca LositoInteruniversity Consortium "Istituto Nazionale Biostrutture e Biosistemi" (INBB), Rome, Italy.
Ottavia StalioScience Department, Università degli Studi Roma Tre, Rome, Italy.
Lorenza MurgiaScience Department, Università degli Studi Roma Tre, Rome, Italy.
Rossella MarinoEmergency Medicine, Department of Medical-Surgery Sciences and Translational Medicine, Università La Sapienza of Rome, Azienda Ospedaliera Sant'Andrea, Rome, Italy.
Flavia CristofanoEmergency Medicine, Department of Medical-Surgery Sciences and Translational Medicine, Università La Sapienza of Rome, Azienda Ospedaliera Sant'Andrea, Rome, Italy.
Michela OrrùInteruniversity Consortium "Istituto Nazionale Biostrutture e Biosistemi" (INBB), Rome, Italy.
Paolo ViscaScience Department, Università degli Studi Roma Tre, Rome, Italy.
Salvatore Di SommaEmergency Medicine, Department of Medical-Surgery Sciences and Translational Medicine, Università La Sapienza of Rome, Azienda Ospedaliera Sant'Andrea, Rome, Italy.
Lorena SilvestriIstituto Dermopatico dell'Immacolata, Rome, Italy.
Vincenzo ZiparoIstituto Dermopatico dell'Immacolata, Rome, Italy.
Giovanni AntoniniScience Department, Università degli Studi Roma Tre, Rome, Italy. giovanni.antonini@uniroma3.it.ORCID http://orcid.org/0000-0002-2115-8961
Roma Tre University · ITIstituto Nazionale Biostrutture e Biosistemi · ITAzienda Ospedaliera Sant'Andrea · ITIstituto Dermopatico dell'Immacolata · IT

Funding

Sviluppo Lazio spa FILAS- RS-2009-1026
6 · The paper itself

Abstract

Urinary tract infections (UTIs) are among the most common infections in all age groups. Fast and accurate diagnosis is essential to ensure a timely and effective therapy. Alongside with reference culture-based methods, several point-of-care tests (POCTs) for early detection of UTIs have been developed, but they have not been significantly implemented in current clinical practice. The Micro Biological Survey (MBS) POCT is a simple test developed by MBS Diagnostics Ltd. (London, UK) for the detection and management of UTIs. The present study has been undertaken to investigate the potentials and limits of the MBS POCT. A total of 349 patients were enrolled in two open-label, monocentric, non-interventional clinical trials in collaboration with an Emergency Medicine department and the outpatient clinic of two hospitals in Rome. Results of urine analysis using the MBS POCT were compared with those of the routine culture-based tests for UTI diagnosis performed by the hospital laboratory. The MBS POCT provided fast results revealing high bacterial count UTIs (≥ 10

Indexed as

Point-of-Care TestingAdultAgedAged, 80 and overClinical Laboratory TechniquesFemaleHumansMaleMiddle AgedReproducibility of ResultsROC CurveSensitivity and SpecificityUrinalysisUrinary Tract InfectionsDiagnosisInfectionPOCTUTI

Identifiers

PMID31707506
PMCPMC7010689
OpenAlexW2983027174

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.