Evidence map›Paper›PMID 42772141›Full record

ArticlePoultry science2026

Machine learning identifies key microbial signatures for Salmonella enteritidis colonization and persistence in broiler ceca.

Sabin Poudel, Fanny Abigail Contreras Zelaya, Eva Guadalupe Guzman Guzman, Farazi Abinash Rahman, Muhammad Naeem, Yagya Adhikari, Shijinaraj Manjankattil, Wilmer Pacheco, Ruediger Hauck, Dianna Bourassa and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Sabin PoudelDepartment of Poultry Science, Auburn University, United States. Electronic address: SZP0208@auburn.edu.
Fanny Abigail Contreras ZelayaDepartment of Poultry Science, Auburn University, United States.
Eva Guadalupe Guzman GuzmanDepartment of Poultry Science, Auburn University, United States.
Farazi Abinash RahmanDepartment of Poultry Science, Auburn University, United States.
Muhammad NaeemDepartment of Poultry Science, Auburn University, United States.
Yagya AdhikariDepartment of Poultry Science, Auburn University, United States.
Shijinaraj ManjankattilDepartment of Poultry Science, Auburn University, United States.
Wilmer PachecoDepartment of Poultry Science, Auburn University, United States.
Ruediger HauckDepartment of Poultry Science, Auburn University, United States; Department of Pathobiology, Auburn University, United States.
Dianna BourassaDepartment of Poultry Science, Auburn University, United States.
Kenneth MacklinDepartment of Poultry Science, Mississippi State University, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-typhoidal Salmonella is a leading cause for bacterial foodborne illnesses in humans, and contaminated poultry products are considered a major source of transmission. Therefore, reducing Salmonella contamination in poultry products is needed to reduce human salmonellosis. This study examined the effects of organic acid (OA) supplementation and Salmonella persistence/cleared in cecal microbiome of Ross YP × Ross 708 male broilers. A total of 900 1-day-old male broilers were randomly distributed to three treatments Control (CN), acetic, lactic and propionic acid blend (ALP), and citric acid (CA); 12 replicate pens/treatment and 25 birds/pen. All birds were challenged with 10

Indexed as

Cecal microbiomeNanopore sequencingOrganic acid supplementationSalmonella persistence or clearance

Identifiers

PMID42772141
PMCPMC13625782

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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.