Evidence map›Paper›PMID 36237433›Full record

ArticleFrontiers in cellular and infection microbiology2022

The diagnostic value of rapid urine test platform UF-5000 for suspected urinary tract infection at the emergency department.

Tsun Tsun Stacia Chun, Xiaohao Ruan, Sau Loi Ng, Hoi Lung Wong, Brian Sze Ho Ho, Chiu Fung Tsang, Terence Chun Ting Lai, Ada Tsui Lin Ng, Wai Kit Ma, Wayne Pei Lam and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
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  6. Article
  7. [Evaluation of Sysmex UF-5000 flow cytometer flag BACT-info for Gram discrimination in urinary tract infection].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Article
  8. Evaluation of the fully automated urine particle analyzer UF-1500.Journal of clinical laboratory analysis · 2023
    Article
  9. 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

12 authors at 5 institutions in 2 countries.

Tsun Tsun Stacia ChunDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Xiaohao RuanDepartment of Urology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Sau Loi NgDivision of Urology, Department of Surgery, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
Hoi Lung WongDivision of Urology, Department of Surgery, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
Brian Sze Ho HoDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Chiu Fung TsangDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Terence Chun Ting LaiDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Ada Tsui Lin NgDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Wai Kit MaHong Kong Urology Clinic, Hong Kong, Hong Kong SAR, China.
Wayne Pei LamDivision of Urology, Department of Surgery, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
Rong NaDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
James Hok Leung TsuDivision of Urology, Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Queen Mary Hospital · CNChinese University of Hong Kong · CNUniversity of Hong Kong · HKDepartment of Health · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Urine culture is time consuming, which may take days to get the results and impede further timely treatment. Our objective is to evaluate whether the fast urinalysis and bacterial discrimination system called Sysmex UF-5000 may predict urinary tract infections (UTIs) (within minutes) compared with the clinical routine test in suspected UTI patients. In addition, we aimed to explore the accuracy of microbiologic information by UF-5000. Materials and Methods: Consecutive patients who were admitted from the emergency department at Queen Mary Hospital (a tertiary hospital in Hong Kong) from June 2019 to February 2020 were enrolled in the present study. The dipstick test, manual microscopic test with culture, and Sysmex UF-5000 test were performed in the urine samples at admission. Results: A total of 383 patients were finally included in the present study. UF-5000 urinalysis (area under the receiver operator characteristic curve, AUC=0.821, confidence interval, 95%CI: 0.767-0.874) outperformed the dipstick test (AUC=0.602, 95%CI: 0.550-0.654, P=1.32×10 Conclusions: UF-5000 urinalysis had a significantly better predictive value than the dipstick urine test for predicting UTIs.

Indexed as

UrinalysisUrinary Tract InfectionsAnti-Bacterial AgentsBacteriaEmergency Service, HospitalHumansSensitivity and SpecificityAnti-Bacterial AgentsbacteriadipstickSysmex UF-5000urinary tract infectionurine culture

Identifiers

PMID36237433
PMCPMC9551190
OpenAlexW4297311833

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Registered trials

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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.