Evidence map›Paper›PMID 34344485›Full record

ArticlePorcine health management2021

Health Monitoring of Fattening Pigs - Use of Production Data, Farm Characteristics and On-Farm Examination.

Julia Grosse-Kleimann, Birte Wegner, Ines Spiekermeier, Elisabeth Grosse Beilage, Nicole Kemper, Hendrik Nienhoff, Heiko Plate, Henning Meyer, Hubert Gerhardy, Lothar Kreienbrock

Open access · goldAbstract read
In one paragraph

Article in Porcine health management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Effects ofAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Julia Grosse-KleimannDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany. julia.grosse-kleimann@tiho-hannover.de.
Birte WegnerInstitute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Ines SpiekermeierSwine Health Service, Chamber of Agriculture in Lower Saxony, Oldenburg, Germany.
Elisabeth Grosse BeilageField Station for Epidemiology, University of Veterinary Medicine Hannover, Foundation, Bakum, Germany.
Nicole KemperInstitute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Hendrik NienhoffSwine Health Service, Chamber of Agriculture in Lower Saxony, Oldenburg, Germany.
Heiko PlateVzF e.V, Association for Promoting Farming Economics, Uelzen, Germany.
Henning MeyerVzF e.V, Association for Promoting Farming Economics, Uelzen, Germany.
Hubert GerhardyMSG, Marketing Service Gerhardy, Garbsen, Germany.
Lothar KreienbrockDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
University of Veterinary Medicine Hannover, Foundation · DELandwirtschaftskammer Niedersachsen · DE

Funding

Bundesanstalt für Landwirtschaft und Ernährung 2817905315
6 · The paper itself

Abstract

backgroundThe use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms.

resultsThe comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting).

conclusionsIt has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs.

Indexed as

farm managementsecondary data useswinewelfare indicators

Identifiers

PMID34344485
PMCPMC8330030
OpenAlexW3189067720

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.