Evidence map›Paper›PMID 35405797›Full record

ArticleAnimals : an open access journal from MDPI2022

Benchmarking Based on Regularly Recorded Claw Health Data of Austrian Dairy Cattle for Implementation in the Cattle Data Network (RDV).

Johann Kofler, Marlene Suntinger, Martin Mayerhofer, Kristina Linke, Lorenz Maurer, Alexandra Hund, Andrea Fiedler, Jürgen Duda, Christa Egger-Danner

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. [The Swiss Claw Health Project - an interim assessment after 5 years].Tierarztliche Praxis. Ausgabe G, Grosstiere/Nutztiere · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

9 authors at 3 institutions in 2 countries.

Johann KoflerDepartment of Farm Animals and Veterinary Public Health, University Clinic for Ruminants, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.ORCID 0000-0001-9664-3446
Marlene SuntingerZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, Austria.
Martin MayerhoferZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, Austria.
Kristina LinkeZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, Austria.
Lorenz MaurerDepartment of Sustainable Agricultural Systems, University of Natural Resources and Livestock Sciences, 1180 Vienna, Austria.
Alexandra HundDepartment of Farm Animals and Veterinary Public Health, University Clinic for Ruminants, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.ORCID 0000-0003-3578-1233
Andrea FiedlerPraxisgemeinschaft für Klauengesundheit, 81247 Munich, Germany.
Jürgen DudaLandeskuratorium der Erzeugerringe für Tierische Veredelung in Bayern e.V. (LKV), 80687 München, Germany.
Christa Egger-DannerZuchtData EDV-Dienstleistungen GmbH, 1200 Vienna, Austria.
University of Veterinary Medicine Vienna · ATBayer (Germany) · DEBOKU University · AT

Funding

Bundesministerium für Land- und Forstwirtschaft, Umwelt und Wasserwirtschaft grant number 872039
6 · The paper itself

Abstract

While benchmarking is already used for the assessment of performance gaps in cattle herd management and welfare concerns, its application to quantifying claw health performance is relatively new. The goal here was to establish a benchmarking system for claw health in Austrian dairy cattle. We used electronically registered claw health data of cows from 512 dairy herds documented by professional hoof trimmers, culling data from the same herds, and locomotion scores taken at regular milk performance testings in 99 dairy herds during 2020. Mean, median and the 10th, 25th, 75th, and 90th percentiles of the incidences of risk of lameness, 13 common claw lesions, and the annual culling risk directly related to claw and limb disorders were used as key performance indicators. Only validated data sets were used and participating trimmers and locomotion scorers had to pass interobserver reliability tests with weighted Cohen's kappa values ≥ 0.61 indicating substantial interobserver agreement. This claw health benchmarking system is intended to be used henceforth in the transnational cattle data network (RDV) by all participating farmers and is also available for veterinarians and consultants, with the agreement of respective farmers.

Indexed as

‘alarm’ lesionsbenchmarkingcattleclaw lesionsclaw trimmingculling rateelectronic recordinglameness

Identifiers

PMID35405797
PMCPMC8997101
OpenAlexW4220736931

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.