Evidence map›Paper›PMID 37812359›Full record

ArticleVeterinary research communications2024

Can computerized rumen mucosal colorimetry serve as an effective field test for managing subacute ruminal acidosis in feedlot cattle?

Nikolaos Voulgarakis, Dimitrios Gougoulis, Dimitra Psalla, Georgios Papakonstantinou, Panagiotis-Dimitrios Katsoulos, Konstantinos Katsoulis, Mariana Angelidou-Tsifida, Labrini Athanasiou, Vasilleios Papatsiros, Georgios Christodoulopoulos

Open access · hybridAbstract read
In one paragraph

Article in Veterinary research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 3 institutions in 1 country.

Nikolaos VoulgarakisClinical Veterinary Medicine Department, Faculty of Veterinary Science, University of Thessaly, Karditsa, Greece.ORCID http://orcid.org/0000-0001-5567-1328
Dimitrios GougoulisClinical Veterinary Medicine Department, Faculty of Veterinary Science, University of Thessaly, Karditsa, Greece.ORCID http://orcid.org/0000-0001-9229-3151
Dimitra PsallaLaboratory of Pathology, School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece.ORCID http://orcid.org/0000-0002-1539-4124
Georgios PapakonstantinouClinical Veterinary Medicine Department, Faculty of Veterinary Science, University of Thessaly, Karditsa, Greece.ORCID http://orcid.org/0000-0002-3434-0877
Panagiotis-Dimitrios KatsoulosClinic of Farm Animals, Faculty of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece.ORCID http://orcid.org/0000-0002-8443-8645
Konstantinos KatsoulisDepartment of Animal Husbandry and Nutrition, Faculty of Veterinary Science, School of Health Sciences, University of Thessaly, Karditsa, Greece.ORCID http://orcid.org/0000-0003-2432-183X
Mariana Angelidou-TsifidaLaboratory of Pathology, School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece.ORCID http://orcid.org/0000-0002-8191-2161
Labrini AthanasiouClinical Veterinary Medicine Department, Faculty of Veterinary Science, University of Thessaly, Karditsa, Greece.ORCID http://orcid.org/0000-0001-8723-2629
Vasilleios PapatsirosClinical Veterinary Medicine Department, Faculty of Veterinary Science, University of Thessaly, Karditsa, Greece.ORCID http://orcid.org/0000-0003-4955-0460
Georgios ChristodoulopoulosDepartment of Animal Science, Agricultural University of Athens, Athens, Greece. gc@aua.gr.ORCID http://orcid.org/0000-0002-2692-8910
University of Thessaly · GRAristotle University of Thessaloniki · GRAgricultural University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subacute ruminal acidosis (SARA) is one of the major nutritional disorders in the dairy and beef industries, leading to significant financial losses. Diagnosing SARA is challenging due to the need to evaluate multiple parameters, such as milk fat/protein ratio, ruminal lactate, and hemogram, instead of relying on a single definitive symptom or diagnostic method. This study aimed to evaluate the effectiveness of computerized rumen colorimetry in detecting SARA in beef cattle. Over one year, 75 cattle aged 8-10 months from five farms were periodically monitored for rumen pH prior to slaughter. Samples of rumen wall and rumen content were obtained at slaughter for analysis. The study found a positive correlation coefficient between rumen pH and color components, particularly for Red (0.853) and color lightness (L) (0.862). The darkening of the rumen epithelium's color was attributed to the effect of rumen pH on the keratinized layer of the epithelium. Furthermore, an increase in the thickness of ruminal epithelium layers, particularly non-keratinized and total epithelium, was observed in animals with a history of SARA. It is possible that the lower rumen pH increases the rate of replacement of the keratinized epithelium, and the non-keratinized epithelium overgrows to compensate for the need to of produce keratinized layers. In conclusion, computerized rumen colorimetry shows promise as a reliable method for managing SARA in bovine farms by monitoring the condition in the slaughterhouse. Further research is needed to evaluate its effectiveness in detecting SARA in live animals.

Indexed as

AcidosisCattle DiseasesAnimalsCattleColorimetryDietFemaleHydrogen-Ion ConcentrationLactationRumenBeefColorimetryRumen epitheliumSubacute ruminal acidosis

Identifiers

PMID37812359
PMCPMC10811041
OpenAlexW4387439177

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.