Article in Microbiology spectrum, 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.
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
10 authors.
Harith M SalihDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0009-0001-6375-7938
Alyssa DetersDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0009-0004-2885-0688
Raghavendra G AmachawadiDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0000-0001-9689-1124
Haiyan WangDepartment of Statistics, College of Arts and Sciences, Kansas State University, Manhattan, Kansas, USA.ORCID 0000-0002-2523-0465
Taghreed MahmoodDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0009-0004-1586-0334
Xiaorong ShiDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0000-0002-1800-8719
Mina AbbasiDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0000-0003-2039-4134
Leigh Ann GeorgeDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0000-0001-9335-450X
Ty E LawrenceBeef Carcass Research Center - Department of Agricultural Sciences, Paul Engler College of Agriculture and Natural Sciences, West Texas A&M University, Canyon, Texas, USA.ORCID 0000-0001-7088-5455
T G NagarajaDepartment of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, USA.ORCID 0000-0002-0899-878X
Funding
Cargill, Inc. CargillCommittee on Enteric Diseases of Food Animals NC1202FFAR-ICASA ICASALAWG-0000000060Micronutrients Micronutrients
6 · The paper itself
Abstract
Liver abscesses (LA) in feedlot cattle are polymicrobial infections, initiated primarily by the translocations of the two subspecies of
Indexed as
BacteriaCattle DiseasesLiver AbscessAnimalsCattleColonEscherichia coliFusobacterium necrophorumRumenculture methodfeedlot cattleliver abscessmajor and minor bacterial pathogensqPCR assayruminal and colonic epithelial tissues
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.
Further delineation of the etiology of liver abscesses in cattle and indication of hindgut as a potential source of pathogens. · full record | OpenQuestion