Evidence map›Paper›PMID 35046242›Full record

ArticleThe Journal of veterinary medical science2022

Evaluation of the air sac volume of penguins with respiratory diseases using computed tomography.

Naoya Matsumoto, Nanako Sawayama, Megumi Itoh, Takahito Toyotome, Kazutaka Yamada

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 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
0.1field-weighted citation impact, top 56% 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, 1 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 3 institutions in 1 country.

Naoya MatsumotoNoboribetsu Marine Park Nixe, Hokkaido, Japan.
Nanako SawayamaNoboribetsu Marine Park Nixe, Hokkaido, Japan.
Megumi ItohObihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Takahito ToyotomeObihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.
Kazutaka YamadaAzabu University, Kanagawa, Japan.
Azabu University · JPChiba University Hospital · JPObihiro University of Agriculture and Veterinary Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Captive penguins with respiratory diseases exhibit advanced pathological conditions upon the appearance of clinical signs. Therefore, the successful treatment of respiratory diseases remains difficult after the onset of clinical signs, leading to high mortality rates. In this study, we measured air sac volume using computed tomography (CT) to evaluate the respiratory condition of penguins. In a regular quarterly health checkup, blood samples were collected from 45 penguins housed at an aquarium in Hokkaido, Japan. A total of 12 penguins with abnormal blood parameters underwent CT. The air sac volumes were calculated in three-dimensional CT, and the scatter plots of the air sac volumes and body weights were analyzed. No correlation was found between the air sac volume and body weight in both the gentoo and king penguins. Two gentoo penguins with infiltration and one king penguin with multiple nodules on CT were tentatively diagnosed with aspergillosis and treated with oral administration of itraconazole. Follow-up CT examination was performed until the outcome: healed or died. The mean air sac volumes of the two gentoo penguins, which recovered after treatment, increased from 273.9 and 329.0 cm

Indexed as

AspergillosisSpheniscidaeAir SacsAnimalsItraconazoleTomography, X-Ray ComputedItraconazoleair sac volumeaspergillosiscomputed tomographypenguin

Identifiers

PMID35046242
PMCPMC8983295
OpenAlexW4206665998

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.