Evidence map›Paper›PMID 35650423›Full record

ArticleScientific reports2022

A high-throughput study of visceral organs in CT-scanned pigs.

Øyvind Nordbø, Rune Sagevik, Jørgen Kongsro, Kevin Mikkelsen, Arne B Gjuvsland, Ann-Helen Gaustad, Dan Olsen, Espen W Remme, Eli Grindflek

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Imaging techniques in veterinary medicineEuropean journal of radiology open · 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 3 institutions in 1 country.

Øyvind NordbøNorsvin SA, 2317, Hamar, Norway. oyvind.nordbo@norsvin.no.
Rune SagevikNorsvin SA, 2317, Hamar, Norway.
Jørgen KongsroNorsvin SA, 2317, Hamar, Norway.
Kevin MikkelsenNorsvin SA, 2317, Hamar, Norway.
Arne B GjuvslandNorsvin SA, 2317, Hamar, Norway.
Ann-Helen GaustadNorsvin SA, 2317, Hamar, Norway.
Dan OlsenNorsvin SA, 2317, Hamar, Norway.
Espen W RemmeThe Intervention Centre and Institute for Surgical Research, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Eli GrindflekNorsvin SA, 2317, Hamar, Norway.
Norsvin (Norway) · NOGeno (Norway) · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been debated whether intensive selection for growth and carcass yield in pig breeding programmes can affect the size of internal organs, and thereby reduce the animal's ability to handle stress and increase the risk of sudden deaths. To explore the respiratory and circulatory system in pigs, a deep learning based computational pipeline was built to extract the size of lungs and hearts from CT-scan images. This pipeline was applied on CT images from 11,000 boar selection candidates acquired during the last decade. Further, heart and lung volumes were analysed genetically and correlated with production traits. Both heart and lung volumes were heritable, with h

Indexed as

MeatTomography, X-Ray ComputedAnimalsMalePhenotypeSwine

Identifiers

PMID35650423
PMCPMC9160241
OpenAlexW4281665827

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.