Evidence map›Paper›PMID 37737592›Full record

ArticleMicrobiology spectrum2023

Assessing the transmission risk of red sea bream iridovirus (RSIV) in environmental water: insights from fish farms and experimental settings.

Yasuhiko Kawato, Yuzo Takada, Kaori Mizuno, Shogo Harakawa, Yusaku Yoshihara, Yukihiro Nakagawa, Tomofumi Kurobe, Hidemasa Kawakami, Takafumi Ito

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genomic analysis ofbioRxiv : the preprint server for biology · 2025
    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

9 authors at 1 institution in 1 country.

Yasuhiko KawatoPathology Division, Nansei Field Station, Fisheries Technology Institute, Japan Fisheries Research and Education Agency , Mie, Japan.ORCID 0000-0002-8333-8183
Yuzo TakadaPathology Division, Nansei Field Station, Fisheries Technology Institute, Japan Fisheries Research and Education Agency , Mie, Japan.
Kaori MizunoEhime Fisheries Research Center , Ehime, Japan.
Shogo HarakawaEhime Fisheries Research Center , Ehime, Japan.
Yusaku YoshiharaAinan Town Fisheries Division , Ehime, Japan.
Yukihiro NakagawaPathology Division, Tamaki Field Station, Fisheries Technology Institute, Japan Fisheries Research and Education Agency , Mie, Japan.
Tomofumi KurobePathology Division, Nansei Field Station, Fisheries Technology Institute, Japan Fisheries Research and Education Agency , Mie, Japan.
Hidemasa KawakamiEhime Fisheries Research Center , Ehime, Japan.
Takafumi ItoPathology Division, Nansei Field Station, Fisheries Technology Institute, Japan Fisheries Research and Education Agency , Mie, Japan.
Japan Fisheries Research and Education Agency · JP

Funding

Ministry of Agriculture, Forestry, and Fisheries of Japan JPJ00867.19190702
6 · The paper itself

Abstract

importanceOur surveillance of viral loads for red sea bream iridovirus (RSIV) by monitoring environmental DNA in fish farms suggested that the viral loads in the seawater were low, except for the net pens where RSIV outbreaks occurred. Furthermore, our experimental infection model indicated that the infection risk of RSIV-contained seawater with less than 10

Indexed as

biosecurityeDNAenvironmental DNAIDWiron flocculationMegalocytivirusPagrus majorwaterborne virus

Identifiers

PMID37737592
PMCPMC10580957
OpenAlexW4386945315

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.