Evidence map›Paper›PMID 42382785›Full record

ArticleVeterinarni medicina2026

From grain to forage: A decade of mycotoxin contamination in ruminant feed in the Czech Republic (2013-2023).

Jana Cahova, Lucie Kvasnickova, Josef Illek, Tomas Palenik, Andrea Staffa, Veronika Vlasakova, Zdenka Svobodova, Lanto Ravonjison, Martin Svoboda

Abstract read
In one paragraph

Article in Veterinarni medicina, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jana CahovaDepartment of Animal Protection and Welfare & Veterinary Public Health, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Lucie KvasnickovaDepartment of Animal Protection and Welfare & Veterinary Public Health, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Josef IllekLarge Animal Clinical Laboratory, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Brno, Czech Republic.
Tomas PalenikRuminant and Swine Clinic, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Brno, Czech Republic.
Andrea StaffaLarge Animal Clinical Laboratory, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Brno, Czech Republic.
Veronika VlasakovaState Veterinary Administration, Prague, Czech Republic.
Zdenka SvobodovaDepartment of Animal Protection and Welfare & Veterinary Public Health, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czech Republic.
Lanto RavonjisonState Veterinary Administration, Pardubice, Czech Republic.
Martin SvobodaRuminant and Swine Clinic, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is based on analytical data on mycotoxin contamination in ruminant feeds in the Czech Republic over a ten-year period (2013-2023), specifically deoxynivalenol (DON), zearalenone (ZEN), T-2 toxin (T-2/HT-2), and ochratoxin A (OTA). Analyses were performed in accredited State Veterinary Institutes using validated immunochemical and chromatographic methods. Samples included forage and concentrate feeds for dairy cows, calf feed, and fattening cattle feed. During the monitoring period, DON was detected at higher concentrations, reflecting the susceptibility of field crops to

Indexed as

cattlefeedfungal toxinsoccurrence pattern

Identifiers

PMID42382785
PMCPMC13317856

What OpenQuestion holds

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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.