Evidence map›Paper›PMID 40358356›Full record

ArticleJournal of fish diseases2025

Assessment of Diagnostic Tools to Detect Acute Gas Bubble Disease in Atlantic Salmon (Salmo salar L.).

S Stensby-Skjærvik, L Boissonnot, A S Dalum, T Storsul, O K Hess-Erga, S Calabrese, K Segadal, L Andersen, H Wahl-Ovesen, I Rønnestad

Abstract read
In one paragraph

Article in Journal of fish diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

S Stensby-SkjærvikAqua Kompetanse AS, Flatanger, Norway.
L BoissonnotAqua Kompetanse AS, Flatanger, Norway.
A S DalumAqua Kompetanse AS, Flatanger, Norway.
T StorsulAqua Kompetanse AS, Flatanger, Norway.
O K Hess-ErgaNorwegian Institute for Water Research, Bergen, Norway.ORCID https://orcid.org/0009-0009-7345-8913
S CalabreseNorwegian Institute for Water Research, Bergen, Norway.
K SegadalNUI, Laksevåg, Norway.
L AndersenStiftelsen Industrilaboratoriet (ILAB), Bergen, Norway.
H Wahl-OvesenAqua Kompetanse AS, Flatanger, Norway.
I RønnestadDepartment of Biological Sciences, University of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0001-8789-0197

Funding

Norwegian Seafood Research Fund
6 · The paper itself

Abstract

Currently, diagnosis of gas bubble disease (GBD) in fish relies on visual observations of bubbles in various body parts and exophthalmus. These observations lack quantified information about gas bubble load, limiting their diagnostic value. This study evaluated the suitability of existing and novel diagnostic tools for detecting GBD in Atlantic salmon exposed to supersaturation induced by pressure reduction. Existing methods were complemented with semi-quantitative scoring models of gas bubbles or tissue damages and tested for their potential diagnostic value. Additionally, methods commonly used for diagnosis of GBD in humans, such as detection of gas bubbles in blood using ultrasound, angiotensin converting enzyme (ACE) concentration and haematological parameters, were tested for their suitability for salmon. This study demonstrated that semi-quantification of gas bubbles using ultrasound was the most reliable method to evaluate the risk of developing acute GBD and to determine whether it is the cause of mortality. The findings suggest that the other assessed methods are unreliable for detecting acute GBD in fish.

Indexed as

Fish DiseasesSalmo salarAnimalsGasesUltrasonographyGasesaquaculturedecompression sicknessfishgas supersaturationscoring of gas bubblestwo‐dimensional ultrasound

Identifiers

PMID40358356
PMCPMC12489438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.