Evidence map›Paper›PMID 37424561›Full record

ArticleAccess microbiology2023

Characterization of

Dong Tu Nguyen, Masatomo Morita, Tuan Cuong Ngo, Thanh Huong Le, Dang Hai Le, Hoai Thu Nguyen, Yukihiro Akeda, Makoto Ohnishi, Hidemasa Izumiya

Abstract read
In one paragraph

Article in Access 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
–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

2 citing papers in PubMed.

  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

9 authors.

Dong Tu NguyenDepartment of Bacteriology, National Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Masatomo MoritaDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Tuan Cuong NgoDepartment of Bacteriology, National Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Thanh Huong LeDepartment of Bacteriology, National Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Dang Hai LeBach Mai Hospital, Hanoi, Vietnam.
Hoai Thu NguyenDepartment of Bacteriology, National Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Yukihiro AkedaDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Makoto OhnishiDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.
Hidemasa IzumiyaDepartment of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9797-7402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Shigellosis remains a considerable public health concern in developing countries. Gap Statement: Aim: This study aimed to characterize the genetic characteristics of Methodology: This study used 17 isolates from eight incidents, collected in northern Vietnam between 2012 and 2016. The samples were subjected to whole genome sequencing, molecular serotyping, cluster analysis and identification of antimicrobial resistance genes. Additionally, phylogenetic analysis was performed including isolates from previous studies. Results: Clusters were identified according to spatiotemporal backgrounds. The results suggested that two incidents in Yen Bai province in 2015 and 2016 were derived from a very recent common ancestor. All isolates belonged to phylogroup (PG) 3, which was divided into two sub-lineages. Thirteen of 17 isolates, including those from the Yen Bai incidents, belonged to sub-lineage Sub-1 and were serotyped as 1a. The remaining four isolates belonged to sub-lineage Sub-2 and were the globally predominant serotype 2a. The Sub-1 Conclusion: This study revealed two PG3 sub-lineages of

Indexed as

Northern Vietnamphylogroup (PG) 3Shigella flexnerishigellosiswhole genome sequencing

Identifiers

PMID37424561
PMCPMC10323796

What OpenQuestion holds

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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.