Evidence map›Paper›PMID 40642104›Full record

ArticleFrontiers in cellular and infection microbiology2025

Investigating the

Harith M Salih, Raghavendra G Amachawadi, Qing Kang, Dmitriy Smolensky, Ramasamy Perumal, Sarah-Sexton Bowser, P V Vara Prasad, T G Nagaraja

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Harith M SalihDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.
Raghavendra G AmachawadiDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.
Qing KangDepartment of Statistics, College of Arts and Sciences, Kansas State University, Manhattan, KS, United States.
Dmitriy SmolenskyCenter for Grain and Animal Health Research, United States Department of Agriculture (USDA), Manhattan, KS, United States.
Ramasamy PerumalKansas State University, Agriculture Research Center, Hays, KS, United States.
Sarah-Sexton BowserDepartment of Agronomy, Kansas State University, Manhattan, KS, United States.
P V Vara PrasadDepartment of Agronomy, Kansas State University, Manhattan, KS, United States.
T G NagarajaDepartment of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Liver abscesses that occur in finishing cattle fed high-grain, low-roughage diets, are of significant economic concern to the feedlot industry. The causative agents include both Methods: Phenolic compounds were extracted by 75% aqueous acetone and total phenolic content was determined spectrophotometrically. Muller-Hinton broth (for Results: Plant based phenolic compounds have the potential to be an antibiotic alternative to control liver abscesses. Sorghum [ Discussion: Our study demonstrated that the phenolic extracts of black and brown sumac sorghum exhibited antibacterial activities against the liver abscesses causing pathogens including both subspecies of

Indexed as

Anti-Bacterial AgentsBacteriaLiver AbscessPhenolsPlant ExtractsSorghumAnimalsCattleMicrobial Sensitivity TestsSalmonella entericaAnti-Bacterial AgentsPhenolsPlant Extractsantibacterial activityblack sorghumfeedlot cattleliver abscesssorghum phenolic extractssumac sorghum

Identifiers

PMID40642104
PMCPMC12241046

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.