Evidence map›Paper›PMID 35384708›Full record

ArticleApplied and environmental microbiology2022

Regional

Amy T Siceloff, Doug Waltman, Nikki W Shariat

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Assessing transcriptomic responses ofMicrobiology spectrum · 2026
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  6. Phenotypic Expression ofMicroorganisms · 2026
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  8. Tracking Antimicrobial Resistance inFoods (Basel, Switzerland) · 2026
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  9. Investigating the differences inFrontiers in veterinary science · 2026
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  10. Animal contact-related nontyphoidalFrontiers in public health · 2026
    Article
  11. A two-year study ofApplied and environmental microbiology · 2025
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  12. Observational
  13. Microbiology spectrum · 2025
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  14. Article
  15. Risk Factors and Prevalence ofAnimals : an open access journal from MDPI · 2025
    Article
  16. Article
  17. Article
  18. A Mini-Review on Multi-Hurdle Control ofAnimals : an open access journal from MDPI · 2025
    Review
  19. Article
  20. Longitudinal study highlights patterns ofFrontiers in microbiology · 2025
    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

3 authors at 1 institution in 1 country.

Amy T SiceloffPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgiagrid.213876.9, Athens, Georgia, USA.
Doug WaltmanGeorgia Poultry Laboratory Network, Gainesville, Georgia, USA.
Nikki W ShariatPoultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgiagrid.213876.9, Athens, Georgia, USA.ORCID 0000-0003-3943-4829
University of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poultry remains a considerable source of foodborne salmonellosis despite significant reduction of Salmonella incidence during processing. There are multiple entry points for Salmonella during production that can lead to contamination during slaughter, and it is important to distinguish the serovars present between the different stages to enact appropriate controls. National Salmonella data from the U.S. Department of Agriculture-Food Safety Inspection Service (USDA-FSIS) monitoring of poultry processing was analyzed from 2016 to 2020. The overall Salmonella incidence at processing in broiler carcasses and intact parts (parts) decreased from 9.00 to 6.57% over this period. The incidence in parts was higher (11.15%) than in carcasses (4.78%). Regional differences include higher proportions of serovars Infantis and Typhimurium in the Atlantic and higher proportion of serovar Schwarzengrund in the Southeast. For Georgia, the largest broiler-producing state, USDA-FSIS data were compared to Salmonella monitoring data from breeder flocks over the same period, revealing serovar Kentucky as the major serovar in breeders (67.91%) during production but not at processing, suggesting that it is more effectively removed during antimicrobial interventions. CRISPR-SeroSeq was performed on breeder samples collected between 2020 and 2021 to explain the incongruence between pre- and postharvest and showed that 32% of samples contain multiple serovars, with up to 11 serovars found in a single flock. High-resolution sequencing identifies serovar patterns at the population level and can provide insight to develop targeted controls. The work presented may apply to other food production systems where Salmonella is a concern, since it overcomes limitations associated with conventional culture.

Indexed as

Poultry DiseasesSalmonella Food PoisoningSalmonella InfectionsAnimalsChickensHumansPoultrySalmonellaUnited StatesCRISPR-SeroSeqmonitoringpoultrySalmonellasalmonellosisserovars

Identifiers

PMID35384708
PMCPMC9040615
OpenAlexW4224941773

What OpenQuestion holds

Textmetadata
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.