Evidence map›Paper›PMID 36271365›Full record

ArticleBMC microbiology2022

Visual LAMP method for the detection of Vibrio vulnificus in aquatic products and environmental water.

Zhuo Tian, Lili Yang, Xin Qi, Qiuyue Zheng, Dejing Shang, Jijuan Cao

Abstract read
In one paragraph

Article in BMC 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
–field-weighted citation impact
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.

  1. Article
  2. Article
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  4. Comparative evaluation of 14Frontiers in microbiology · 2026
    Article
  5. Public health aspects ofEFSA journal. European Food Safety Authority · 2024
    Article
  6. Isolation ofMicroorganisms · 2024
    Article
  7. Article
  8. 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

6 authors.

Zhuo Tian *Liaoning Normal University, Dalian, 116023, China.
Lili Yang *Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, 116600, China.
Xin QiDalian Customs Technology Center, Dalian, 116001, China.
Qiuyue ZhengKey Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, 116600, China.
Dejing ShangLiaoning Normal University, Dalian, 116023, China. djshang@lnnu.edu.cn.
Jijuan CaoKey Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, 116600, China. caojijuan@dlnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA visual, rapid, simple method was developed based on a loop-mediated isothermal amplification (LAMP) assay to detect Vibrio vulnificus in aquatic products and aquaculture waters.

resultsGenomic DNA was extracted from Vibrio vulnificus using the boiling method, and optimized primers were used to detect the gyrB gene using a visual LAMP method. The sensitivity of the assay was 10 fg/μL, and the obtained results were stable and reliable. Out of 655 aquatic product samples and 558 aquaculture water samples, the positive rates of Vibrio vulnificus detection were 9.01% and 8.60%, respectively, which are markedly higher than those of the traditional culture identification methods.

conclusionThe relatively simple technical requirements, low equipment cost, and rapid detection make the visual LAMP method for the detection of Vibrio vulnificus a convenient choice for field detection in the aquaculture industry.

Indexed as

Vibrio vulnificusMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesSensitivity and SpecificityWaterWaterAquaculture watersAquatic productsLoop-mediated isothermal amplification (LAMP)Vibrio vulnificusVisual

Identifiers

PMID36271365
PMCPMC9585733

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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.