Evidence map›Paper›PMID 36118336›Full record

ArticleFrontiers in veterinary science2022

Characteristics of thermal images of the mammary gland and of performance in sows differing in health status and parity.

Stephan Rosengart, Bussarakam Chuppava, Lea-Sophie Trost, Hubert Henne, Jens Tetens, Imke Traulsen, Ansgar Deermann, Michael Wendt, Christian Visscher

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Lactation in swine: review article.Animal frontiers : the review magazine of animal agriculture · 2023
    Review
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 2 institutions in 1 country.

Stephan RosengartClinic for Swine and Small Ruminants, Forensic Medicine and Ambulatory Service, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Bussarakam ChuppavaInstitute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Lea-Sophie TrostDepartment of Animal Sciences, Livestock Systems, Georg-August-University Göttingen, Göttingen, Germany.
Hubert HenneBHZP GmbH, Dahlenburg-Ellringen, Germany.
Jens TetensDepartment of Animal Sciences, University of Göttingen, Göttingen, Germany.
Imke TraulsenDepartment of Animal Sciences, Livestock Systems, Georg-August-University Göttingen, Göttingen, Germany.
Ansgar DeermannEVH Select GmbH, Meppen, Germany.
Michael WendtClinic for Swine and Small Ruminants, Forensic Medicine and Ambulatory Service, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
Christian VisscherInstitute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, Hanover, Germany.
University of Veterinary Medicine Hannover, Foundation · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision livestock farming can combine sensors and complex data to provide a simple score of meaningful productivity, pig welfare, and farm sustainability, which are the main drivers of modern pig production. Examples include using infrared thermography to monitor the temperature of sows to detect the early stages of the disease. To take account of these drivers, we assigned 697 hybrid (BHZP db. Viktoria) sows to four parity groups. In addition, by pooling clinical findings from every sow and their piglets, sows were classified into three groups for the annotation: healthy, clinically suspicious, and diseased. Besides, the udder was thermographed, and performance data were documented. Results showed that the piglets of diseased sows with eighth or higher parity had the lowest daily weight gain [healthy; 192 g ± 31.2, clinically suspicious; 191 g ± 31.3, diseased; 148 g ± 50.3 (

Indexed as

early disease detectionhealthcareinfrared imagingpostpartum dysgalactia syndromeprecision farmingsmart farmingudderwelfare monitoring

Identifiers

PMID36118336
PMCPMC9480095
OpenAlexW4294278577

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.