Evidence map›Paper›PMID 39459909›Full record

ArticleViruses2024

Monitoring of Respiratory Disease Patterns in a Multimicrobially Infected Pig Population Using Artificial Intelligence and Aggregate Samples.

Matthias Eddicks, Franziska Feicht, Jochen Beckjunker, Marika Genzow, Carmen Alonso, Sven Reese, Mathias Ritzmann, Julia Stadler

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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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

8 authors.

Matthias EddicksClinic for Swine at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University München, 85764 München, Germany.ORCID 0000-0002-3762-4218
Franziska FeichtClinic for Swine at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University München, 85764 München, Germany.
Jochen BeckjunkerBoehringer Ingelheim Vetmedica GmbH, Ingelheim, 55216 Ingelheim am Rhein, Germany.
Marika GenzowBoehringer Ingelheim Vetmedica GmbH, Ingelheim, 55216 Ingelheim am Rhein, Germany.
Carmen AlonsoBoehringer Ingelheim Vetmedica GmbH, Ingelheim, 55216 Ingelheim am Rhein, Germany.ORCID 0000-0002-1625-0552
Sven ReeseInstitute for Anatomy, Histology and Embryology, LMU Munich, 80539 Munich, Germany.ORCID 0000-0002-4605-9791
Mathias RitzmannClinic for Swine at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University München, 85764 München, Germany.
Julia StadlerClinic for Swine at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-University München, 85764 München, Germany.ORCID 0000-0002-7626-2256

Funding

Boehringer Ingelheim Fonds AO8250107
6 · The paper itself

Abstract

A 24/7 AI sound-based coughing monitoring system was applied in combination with oral fluids (OFs) and bioaerosol (AS)-based screening for respiratory pathogens in a conventional pig nursery. The objective was to assess the additional value of the AI to identify disease patterns in association with molecular diagnostics to gain information on the etiology of respiratory distress in a multimicrobially infected pig population. Respiratory distress was measured 24/7 by the AI and compared to human observations. Screening for swine influenza A virus (swIAV), porcine reproductive and respiratory disease virus (PRRSV),

Indexed as

Artificial IntelligencePorcine respiratory and reproductive syndrome virusSwine DiseasesActinobacillus pleuropneumoniaeAnimalsCircovirusCoinfectionInfluenza A virusMycoplasma hyopneumoniaeOrthomyxoviridae InfectionsPorcine Reproductive and Respiratory SyndromeRespiratory Tract InfectionsSwinebioaerosol samplesdiagnosticsinfluenzanoveloral fluidsrespiratory diseasesample typessurveillance

Identifiers

PMID39459909
PMCPMC11512249

What OpenQuestion holds

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LicenceCC BY
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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.