Evidence map›Paper›PMID 39691815›Full record

ArticleVeterinary and animal science2025

Development of a sensitive disease-screening model using comprehensive circulating microRNA profiles in dogs: A pilot study.

Kohei Omura, Kaori Ide, Masashi Takahashi, Yu Furusawa, Masanori Kobayashi, Yuichi Miyagawa, Aki Fujiwara-Igarashi, Takahiro Teshima, Yoshiaki Kubo, Akiko Yasuda and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary and animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Kohei OmuraScientific activity support team, ARKRAY Marketing Inc., Yousuien-nai, 59 Gansuin-cho, Kamigyo-ku, Kyoto 602-0008, Japan.
Kaori IdeTokyo University of Agriculture and Technology, Department of Veterinary Medicine, Laboratory of Veterinary Internal Medicine, 3-5-8 Saiwaicho, Fuchu City, Tokyo, Japan.
Masashi TakahashiJoint Faculty of Veterinary Medicine, Kagoshima University Veterinary Teaching Hospital, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan.
Yu FurusawaJoint Faculty of Veterinary Medicine, Kagoshima University Veterinary Teaching Hospital, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-0065, Japan.
Masanori KobayashiLaboratory of Reproduction, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino-shi, Tokyo, 180-8602, Japan.
Yuichi MiyagawaLaboratory of Veterinary Internal Medicine II, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino-shi, Tokyo 180-8602, Japan.
Aki Fujiwara-IgarashiLaboratory of Veterinary Radiology, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602, Japan.
Takahiro TeshimaLaboratory of Veterinary Internal Medicine, School of Veterinary Medicine, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-8602, Japan.
Yoshiaki KuboVeterinary Medical Teaching Hospital, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602, Japan.
Akiko YasudaVeterinary Medical Teaching Hospital, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602, Japan.
Karin YoshidaVeterinary Medical Teaching Hospital, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602, Japan.
Noriyuki HayakawaVeterinary Medical Teaching Hospital, Nippon Veterinary and Life Science University, 1-7-1 Kyonancho, Musashino-shi, Tokyo 180-8602, Japan.
Masato KobayashiLaboratory of Reproduction, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino-shi, Tokyo, 180-8602, Japan.
Yasuyuki MomoiDepartment of Veterinary Clinical Pathobiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the veterinary field, the utility of disease-identification models that use comprehensive circulating microRNA (miRNA) profiles produced through measurements based on next-generation sequencing (NGS) remains unproven. To integrate NGS technology with automated machine learning (autoML) to create a comprehensive circulating miRNA profile and to assess the clinical utility of a disease-screening model derived from this profile. The study involved dogs diagnosed with or being treated for various diseases, including tumors, across multiple veterinary clinics (

Indexed as

Automated machine learningCaninemicroRNANext-generation sequencing

Identifiers

PMID39691815
PMCPMC11647647

What Socratic holds

Textmetadata
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 Socratic graph.