Evidence map›Paper›PMID 36213417›Full record

ArticleFrontiers in veterinary science2022

Benchmarking calf health: Assessment tools for dairy herd health consultancy based on reference values from 730 German dairies with respect to seasonal, farm type, and herd size effects.

Linda Dachrodt, Alexander Bartel, Heidi Arndt, Laura Maria Kellermann, Annegret Stock, Maria Volkmann, Andreas Robert Boeker, Katrin Birnstiel, Phuong Do Duc, Marcus Klawitter and 6 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Case report: Omphalitis caused byFrontiers in veterinary science · 2024
    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

16 authors.

Linda DachrodtClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Alexander BartelDepartment of Veterinary Medicine, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.
Heidi ArndtClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Laura Maria KellermannClinic for Ruminants With Ambulatory and Herd Health Services, Centre for Clinical Veterinary Medicine, Oberschleissheim, Germany.
Annegret StockDepartment of Veterinary Medicine, Clinic for Ruminants and Swine, Freie Universität Berlin, Berlin, Germany.
Maria VolkmannDepartment of Veterinary Medicine, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.
Andreas Robert BoekerClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Katrin BirnstielVetZ GmbH, Isernhagen, Germany.
Phuong Do DucClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Marcus KlawitterDepartment of Veterinary Medicine, Clinic for Ruminants and Swine, Freie Universität Berlin, Berlin, Germany.
Philip PaulClinic for Ruminants With Ambulatory and Herd Health Services, Centre for Clinical Veterinary Medicine, Oberschleissheim, Germany.
Alexander StollClinic for Ruminants With Ambulatory and Herd Health Services, Centre for Clinical Veterinary Medicine, Oberschleissheim, Germany.
Svenja WoudstraClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Gabriela Knubben-SchweizerClinic for Ruminants With Ambulatory and Herd Health Services, Centre for Clinical Veterinary Medicine, Oberschleissheim, Germany.
Kerstin Elisabeth MüllerDepartment of Veterinary Medicine, Clinic for Ruminants and Swine, Freie Universität Berlin, Berlin, Germany.
Martina HoedemakerClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Good calf health is crucial for a successfully operating farm business and animal welfare on dairy farms. To evaluate calf health on farms and to identify potential problem areas, benchmarking tools can be used by farmers, herd managers, veterinarians, and other advisory persons in the field. However, for calves, benchmarking tools are not yet widely established in practice. This study provides hands-on application for on-farm benchmarking of calf health. Reference values were generated from a large dataset of the "PraeRi" study, including 730 dairy farms with a total of 13,658 examined preweaned dairy calves. At herd level, omphalitis (O, median 15.9%) was the most common disorder, followed by diarrhea (D, 15.4%) and respiratory disease (RD, 2.9%). Abnormal weight bearing (AWB) was rarely detected (median, 0.0%). Calves with symptoms of more than one disorder at the same time (multimorbidity, M) were observed with a prevalence of 2.3%. The enrolled farms varied in herd size, farm operating systems, and management practices and thus represented a wide diversity in dairy farming, enabling a comparison with similar managed farms in Germany and beyond. To ensure comparability of the data in practice, the reference values were calculated for the whole data set, clustered according to farm size (1-40 dairy cows (

Indexed as

animal wellbeing and welfarebenchmarking toolbovine respiratory diseasecalf diseasediarrheaomphalitisorganic farming

Identifiers

PMID36213417
PMCPMC9539667

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Registered trials

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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.