Evidence map›Paper›PMID 39620281›Full record

SynthesisJournal of global health2024

One Health approach probes zoonotic non-typhoidal Salmonella infections in China: A systematic review and meta-analysis.

Jiaqi Chen, Linlin Huang, Hongli An, Zining Wang, Xiamei Kang, Rui Yin, Chenghao Jia, Xiuyan Jin, Min Yue

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. ZoonoticEmerging microbes & infections · 2026
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  5. Review
  6. Article
  7. Article
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  9. Genomic epidemiology ofOne health (Amsterdam, Netherlands) · 2026
    Article
  10. Article
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
  19. PreventingFrontiers in microbiology · 2026
    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

9 authors.

Jiaqi ChenKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, Hangzhou; University of Chinese Academy of Sciences, China.
Linlin HuangDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Hongli AnDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Zining WangKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, Hangzhou; University of Chinese Academy of Sciences, China.
Xiamei KangDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Rui YinDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Chenghao JiaDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Xiuyan JinDepartment of Veterinary Medicine, Zhejiang University College of Animal Sciences, Hangzhou, China.
Min YueKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, Hangzhou; University of Chinese Academy of Sciences, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Zoonotic infections, particularly those caused by non-typhoidal Salmonella (NTS), pose a significant disease burden. However, there is a notable lack of comprehensive and integrated studies employing the One Health approach to address Salmonella prevalence. In this study, we aimed to analyse NTS spatiotemporal prevalence, serovar distribution, and antimicrobial resistance (AMR) across China. Methods: We conducted a systematic review and meta-analysis to understand the dynamics of NTS in a One Health context in China. We searched the CNKI, Wanfang, and PubMed databases for Chinese and English peer-reviewed articles published before 1 January 2022 dealing with Salmonella in the context of China. We examined the dynamic prevalence along the food chain, the risk of dominant serovars and the carriers' regional contribution by principal component analysis, and the AMR burden before and after the ban on using antimicrobials as feed additives across five decades. We used the inverse variance index as an indicator of the inconsistency across studies, and we adopted the restricted maximum likelihood model due to high heterogeneity for analysis with a 95% confidence level for the pooled prevalence estimate. Results: Based on 562 retrieved high-quality studies during 1967-2021, representing 5 052 496 samples overall and 80 536 positive samples for NTS isolates, the overall average prevalence was 7.35% (95% confidence interval (CI) = 0.069-0.087), which was regionally relatively higher in northern China (8.19%; 95% CI = 0.078-0.117) than in southern China (6.94%; 95% CI = 0.067-0.088). Poultry was the primary vehicle for serovars Enteritidis and Indiana (especially in the north), while swine and ruminants for Typhimurium and Derby were the first to highlight the regional livestock contribution to serovar prevalence. The overall AMR rate was 73.63% (95% CI = 0.68-0.99), decreasing after the ban on excessive use of feed-based antibiotics in livestock since 2020, with a relatively low resistance towards front-line and last-resort drugs. Conclusions: Our study emphasises the importance of adopting a One Health framework to better understand the zoonotic nature of human NTS and highlights the dominant serovars on food contamination and human infection. The similarity in AMR patterns between poultry and human isolates further emphasises the integrated approach for evaluating disease burden and implementing targeted interventions.

Indexed as

One HealthSalmonella InfectionsZoonosesAnimalsAnti-Bacterial AgentsChinaDrug Resistance, BacterialHumansPrevalenceSalmonellaSalmonella Infections, AnimalAnti-Bacterial Agents

Identifiers

PMID39620281
PMCPMC11610537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.