Evidence map›Paper›PMID 30548172›Full record

ArticleTransboundary and emerging diseases2019

Diversified sources for human infections by Salmonella enterica serovar newport.

Hang Pan, Xin Zhou, Wenqin Chai, Narayan Paudyal, Shuning Li, Xiao Zhou, Kun Zhou, Qingqing Wu, Beibei Wu, Guogang Li and 7 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Comparative Genomic and Phylogenetic Analysis ofTransboundary and emerging diseases · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Non-typhoidalFrontiers in veterinary science · 2024
    Article
  8. Article
  9. Stress response ofCurrent research in food science · 2024
    Article
  10. Comparative Analysis betweenMicroorganisms · 2023
    Article
  11. Genomic characterization ofFrontiers in microbiology · 2023
    Article
  12. Article
  13. Article
  14. Resistance and Pathogenicity ofVeterinary sciences · 2022
    Article
  15. Article
  16. Article
  17. Antimicrobial Resistance Profiles and Genetic Typing ofAntibiotics (Basel, Switzerland) · 2021
    Article
  18. Genomic Investigation of Antimicrobial-ResistantFrontiers in microbiology · 2021
    Article
  19. Heavy Metal Resistance inFrontiers in microbiology · 2021
    Article
  20. 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

17 authors.

Hang PanCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Xin ZhouCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Wenqin ChaiCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Narayan PaudyalCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Shuning LiCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Xiao ZhouCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Kun ZhouCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Qingqing WuCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Beibei WuZhejiang Province Center for Disease Control and Prevention, Hangzhou, China.
Guogang LiDongyang People's Hospital, Dongyang, China.
Andreja RajkovicDepartment of Food Safety and Food Quality, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Weihuan FangCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Shelley C RankinDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Yan LiCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Xuebin XuShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Dieter M SchifferliDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Min YueCATG Microbiology & Food Safety Laboratory, Institute of Preventive Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.ORCID https://orcid.org/0000-0002-6787-0794

Funding

Genetic determinants of systemic host-adapted SalmonellaR21AI117135 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI SCHIFFERLI, DIETER M. · 2016 to 2017
$442k
NIAID NIH HHS R21 AI117135
6 · The paper itself

Abstract

Salmonella enterica Newport (S. Newport), with phylogenetic diversity feature, contributes to significant public health concerns. Our previous study suggested that S. Newport from multiple animal-borne routes, with distinct antibiotic resistant pattern, might transmit to human. However, their genetic information was lacking. As a complement to the earlier finding, we investigate the relationship between each other among the hosts, sources, genotype and antibiotic resistance in S. Newport. We used the multilocus sequence typing (MLST) in conjunction with minimum inhibitory concentration of 16 antibiotics of globally sampled 1842 S. Newport strains, including 282 newly contributed Chinese strains, to evaluate this association. Our analysis reveals that sequence types (STs) are significantly associated with different host sources, including livestock (ST45), birds (ST5), contaminated water and soil (ST118), reptiles (ST46) and seafood (ST31). Importantly, ST45 contained most of (344/553) the multi-drug resistance (MDR) strains, which were believed to be responsible for human MDR bacterial infections. Chinese isolates were detected to form two unique lineages of avian (ST808 group) and freshwater animal (ST2364 group) origin. Taken together, genotyping information of S. Newport could serve to improve Salmonella source-originated diagnostics and guide better selection of antibiotic therapy against Salmonella infections.

Indexed as

AnimalsDrug Resistance, Multiple, BacterialGenes, BacterialGenotypeHumansMicrobial Sensitivity TestsMultilocus Sequence TypingPhylogenySalmonella entericaSalmonella InfectionsSalmonella Infections, AnimalSerogroupantibiotic resistancebovineplantSalmonella Newportsequence typesources

Identifiers

PMID30548172
PMCPMC6634944

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.