Evidence map›Paper›PMID 37261107›Full record

ArticleFrontiers in veterinary science2023

Status of udder health performance indicators and implementation of on farm monitoring on German dairy cow farms: results from a large scale cross-sectional study.

Andreas R Böker, Alexander Bartel, Phuong Do Duc, Antonia Hentzsch, Frederike Reichmann, Roswitha Merle, Heidi Arndt, Linda Dachrodt, Svenja Woudstra, Martina Hoedemaker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 4 institutions in 2 countries.

Andreas R BökerClinic 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.
Phuong Do DucClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Antonia HentzschDepartment of Veterinary Medicine, Clinic for Ruminants and Swine, Freie Universität Berlin, Berlin, Germany.
Frederike ReichmannClinic for Ruminants with Ambulatory and Herd Health Services, Centre for Clinical Veterinary Medicine, Oberschleissheim, Germany.
Roswitha MerleDepartment 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.
Linda DachrodtClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Svenja WoudstraClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Martina HoedemakerClinic for Cattle, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
University of Veterinary Medicine Hannover, Foundation · DEFreie Universität Berlin · DEInstitute of Bioinformatics and Systems Biology · DEUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regional benchmarking data enables farmers to compare their animal health situation to that of other herds and identify areas with improvement potential. For the udder health status of German dairy cow farms, such data were incomplete. Therefore, the aim of this study was (1) to describe the incidence of clinical mastitis (CM), (2) to describe cell count based udder health indicators [annual mean test day average of the proportion of animals without indication of mastitis (aWIM), new infection risk during lactation (aNIR), and proportion of cows with low chance of cure (aLCC); heifer mastitis rate (HM)] and their seasonal variation, and (3) to evaluate the level of implementation of selected measures of mastitis monitoring. Herds in three German regions (North:

Indexed as

clinical mastitis incidencedairy cowmastitis monitoringmilkon-farm monitoringudder health indicators

Identifiers

PMID37261107
PMCPMC10227582
OpenAlexW4376891102

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.