Evidence map›Paper›PMID 42076716›Full record

ArticleVeterinary sciences2026

The Future Toolbox for Managing Ketosis in Dairy Cow Herds: A European Key Opinion Leader Consensus.

Celien Kemel, Angelique C M Rijpert-Duvivier, Nina Strus, Florian Guigui, Frédéric Vangroenweghe

Abstract readComment
In one paragraph

Article in Veterinary sciences, 2026. 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

5 authors.

Celien KemelDepartment of Internal Medicine, Reproduction, and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium.ORCID 0000-0002-1523-047X
Angelique C M Rijpert-DuvivierElanco Animal Health Benelux, BU Ruminants & Swine, Generaal Lemanstraat 55/3, 2018 Antwerp, Belgium.ORCID 0000-0002-3728-0910
Nina StrusElanco Animal Health Central & Eastern Europe d.o.o., BU Ruminants & Swine, Dunajska Cesta 167, 1000 Ljubljana, Slovenia.
Florian GuiguiElanco Animal Health France, BU Ruminants & Swine, Place de Belgique 10, Paris-La-Défense, 92250 La Garenne Colombes, France.
Frédéric VangroenwegheDepartment of Internal Medicine, Reproduction, and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium.ORCID 0000-0003-0569-9503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ketosis is a major metabolic disorder that significantly impacts dairy cow health, welfare, and farm profitability, posing challenges to both farmers and veterinarians. This opinion paper, derived from expert panel discussions and a review of the scientific literature, provides a comprehensive, proactive approach to modern ketosis management. It addresses the critical need for increased farmer awareness, emphasizing the veterinarians' involvement as consultants and data interpreters and equipping them with essential skills in data analysis, communication, and farmer education. This paper also details a practical toolbox of diagnostic, therapeutic, management, and preventive strategies, including precision technologies and welfare-enhancing practices, to optimize metabolic health, enhance productivity, and ensure the long-term sustainability of dairy farming. This expert consensus translates scientific knowledge into practical on-farm actions, empowering farmers with risk-based insights and equipping veterinarians with tools and strategies for success. Ultimately, the consensus of our opinion paper reflects an industry-wide transition toward absolute transparency in diagnostic reporting, based on reliable data that creates an indispensable foundation for evidence-based ketosis management.

Indexed as

dairy cowsdata-driven decision-makinghyperketonemiaketosisproactive managementtransition healthveterinarian–farmer collaboration

Identifiers

PMID42076716
PMCPMC13119629

What OpenQuestion holds

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LicenceCC BY
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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.