Evidence map›Paper›PMID 37441557›Full record

ArticleFrontiers in veterinary science2023

The bovine nasal fungal community and associations with bovine respiratory disease.

Ruth Eunice Centeno-Martinez, Suraj Mohan, Josiah Levi Davidson, Jon P Schoonmaker, Aaron Ault, Mohit S Verma, Timothy A Johnson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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  5. Correlation BetweenJournal of fungi (Basel, Switzerland) · 2025
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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

7 authors at 1 institution in 1 country.

Ruth Eunice Centeno-MartinezDepartment of Animal Science, Purdue University, West Lafayette, IN, United States.
Suraj MohanDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, United States.
Josiah Levi DavidsonDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, United States.
Jon P SchoonmakerDepartment of Animal Science, Purdue University, West Lafayette, IN, United States.
Aaron AultDepartment of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
Mohit S VermaDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, United States.
Timothy A JohnsonDepartment of Animal Science, Purdue University, West Lafayette, IN, United States.
Purdue University West Lafayette · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Effective identification and treatment of bovine respiratory disease (BRD) is an ongoing health and economic issue for the dairy and beef cattle industries. Bacteria pathogens Methods: The objective of this study was to understand if the nasal mycobiome differs between a BRD-affected (n = 56) and visually healthy (n = 73) Holstein steers. Fungal nasal community was determined by using Internal Transcribed Spacer (ITS) sequencing. Results: The phyla, Ascomycota and Basidiomycota, and the genera, Discussion: The results from this novel study provide a baseline understanding of the fungal diversity and composition in the nasal cavity of BRD and healthy animals, upon which future interaction studies, including other nasal microbiome members to further understand and accurately diagnose BRD, can be designed.

Indexed as

bovine respiratory diseasecattleITS genenasal mycobiomeqPCR

Identifiers

PMID37441557
PMCPMC10335396
OpenAlexW4382464432

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.