Evidence map›Paper›PMID 39518836›Full record

ArticleAnimals : an open access journal from MDPI2024

Porcine Nose Atrophy Assessed by Automatic Imaging and Detection of

Hanna Lichterfeld, Sara Trittmacher, Kathrin Gerdes, Kathrin Schmies, Joaquín Miguel, Irene Galé, Alba Puigredon Fontanet, Isaac Ballarà, Krista Marie Tenbrink, Isabel Hennig-Pauka

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Hanna LichterfeldField Station for Epidemiology, University of Veterinary Medicine Hannover, Foundation, 49456 Bakum, Germany.
Sara TrittmacherField Station for Epidemiology, University of Veterinary Medicine Hannover, Foundation, 49456 Bakum, Germany.
Kathrin GerdesField Station for Epidemiology, University of Veterinary Medicine Hannover, Foundation, 49456 Bakum, Germany.
Kathrin SchmiesField Station for Epidemiology, University of Veterinary Medicine Hannover, Foundation, 49456 Bakum, Germany.
Joaquín MiguelHIPRA, 17170 Amer, Spain.
Irene GaléHIPRA, 17170 Amer, Spain.
Alba Puigredon FontanetHIPRA, 17170 Amer, Spain.
Isaac BallaràHIPRA, 17170 Amer, Spain.
Krista Marie TenbrinkHIPRA Deutschland GmbH, 40211 Düsseldorf, Germany.
Isabel Hennig-PaukaField Station for Epidemiology, University of Veterinary Medicine Hannover, Foundation, 49456 Bakum, Germany.ORCID 0000-0003-3994-5979

Funding

HIPRA, Amer (Girona), Spain 000
6 · The paper itself

Abstract

The nasal mucosa is a crucial filtering organ to prevent attachment and invasion of pathogens. To assess nasal health in relation to lung health, transverse cross sections of the nasal turbinates of 121 pigs suffering from respiratory disease and sent for diagnostic necropsy were scored visually and by an artificial intelligence (AI) medical diagnostic application (AI DIAGNOS), resulting in a high correlation of both scores (

Indexed as

Bordetella bronchisepticalung healthnasal lesion scorenose deformitiesporcine respiratory disease complexrespiratory diseaseswine

Identifiers

PMID39518836
PMCPMC11545279

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.