Evidence map›Paper›PMID 37200917›Full record

ArticleFrontiers in microbiology2023

Development and evaluation of a centrifugal disk system for the rapid detection of multiple pathogens and their antibiotic resistance genes in urinary tract infection.

Nianzhen Chen, Gen Li, Yuying Si, Yangqin Ye, Tong Zhang, Dali Chi, Wenyan Zhang, Lifeng Pan, Guoying Qu, Yun Lu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

13 authors at 3 institutions in 1 country.

Nianzhen ChenDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Gen LiDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yuying SiDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yangqin YeDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Tong ZhangDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Dali ChiFosun Diagnostics Co., Ltd., Shanghai, China.
Wenyan ZhangDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Lifeng PanDepartment of Microbiology, Pudong New Area Center for Disease Control and Prevention, Shanghai, China.
Guoying QuWeifang Community Health Service Center, Shanghai, China.
Yun LuHuamu Community Health Service Center, Shanghai, China.
Ming ZongDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Guodong SuiShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.
Lieying FanDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai East Hospital · CNFudan University · CNShanghai Municipal Center For Disease Control Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary tract infections (UTIs) are some of the most common bacterial infections in the world. Nevertheless, as uncomplicated UTIs are treated empirically without culturing the urine, adequate knowledge of the resistance pattern of uropathogens is essential. Conventional urine culture and identification take at least 2 days. Here, we developed a platform based on LAMP and centrifugal disk system (LCD) to simultaneously detect the main pathogens and antibiotic resistant genes (ARGs) of urgent concern multidrug-resistant among UTIs. Methods: We designed specific primers to detect the target genes above and evaluated their sensitivity and specificity. We also assessed the result of our preload LCD platform on 645 urine specimens with a conventional culturing method and Sanger sequencing. Results: The results obtained with the 645 clinical samples indicated that the platform has high specificity (0.988-1) and sensitivity (0.904-1) for the studied pathogens and ARGs. Moreover, the kappa value of all pathogens was more than 0.75, revealing an excellent agreement between the LCD and culture method. Compared to phenotypic tests, the LCD platform is a practical and fast detection approach for methicillin-resistant Conclusion: We developed a detection platform that has high accuracy and that meets the need for rapid diagnosis, which can be completed within 1.5 h from specimen collection. It may be a powerful tool for evidence-based UTIs diagnosis, which has essential support for the rational use of antibiotics. More high-quality clinical studies are required to prove the effectiveness of our platform.

Indexed as

antibiotic resistance genescentrifugal diskLAMPpathogensurinary tract infection

Identifiers

PMID37200917
PMCPMC10187633
OpenAlexW4367852108

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.