Evidence map›Paper›PMID 35533187›Full record

ArticlePloS one2022

LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance.

Yen-Yi Liu, Chih-Chieh Chen, Chien-Hua Yang, Hui-Yi Hsieh, Jia-Xin He, Hao-Hsuan Lin, Chi-Ching Lee

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Characterization and Antibiotic Resistance ofFoods (Basel, Switzerland) · 2023
    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

7 authors.

Yen-Yi LiuDepartment of Public Health, China Medical University, Taichung, Taiwan.
Chih-Chieh ChenInstitute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.ORCID 0000-0002-5844-8428
Chien-Hua YangDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
Hui-Yi HsiehDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
Jia-Xin HeDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
Hao-Hsuan LinDepartment of Public Health, China Medical University, Taichung, Taiwan.
Chi-Ching LeeDepartment of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0003-2912-7745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Listeria monocytogenes can cause listeriosis, and people with hypoimmunity such as pregnant women, infants and fetuses are at high risk of invasive infection. Although the incidence of listeriosis is low, the fatality rate is high. Therefore, continual surveillance and rapid epidemiological investigation are crucial for addressing L. monocytogenes. Because of the popularity of next-generation sequencing, obtaining the whole-genome sequence of a bacterium is easy. Several genome-based typing methods are available, and core-genome multilocus sequence typing (cgMLST) is the most recognized methods. Using cgMLST typing to compare L. monocytogenes whole-genome sequences (WGS) with those obtained across distinct regions is beneficial. However, the concern is how to incorporate the powerful cgMLST method into investigations, such as by using source tracing. Herein, we present an easy-to-use web service called-LmTraceMap (http://lmtracemap.cgu.edu.tw/hua_map/test/upload.php; http://120.126.17.192/hua_map/test/upload.php) that can help public-health professionals rapidly trace closely related isolates worldwide and visually inspect them in search results on a world map with labeled epidemiological data. We expect the proposed service to improve the convenience of public health investigations.

Indexed as

Listeria monocytogenesListeriosisFemaleFood MicrobiologyGenome, BacterialHumansMultilocus Sequence TypingPregnancyWhole Genome Sequencing

Identifiers

PMID35533187
PMCPMC9084517

What OpenQuestion holds

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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.