Evidence map›Paper›PMID 41494745›Full record

ArticleJournal of veterinary science2026

Data-driven life-stage classification for companion dogs and cats using age-specific diagnosis patterns in South Korea.

Jin-Young Park, Seogjin Kang, Yoon Jung Do, Eun-Yeong Bok, Jong Ryul Park, Tae Woo Kim, Chang-Min Lee, Woong-Bin Ro, Jang Yeop Kim, Dong Yun Lee and 2 more

Abstract read
In one paragraph

Article in Journal of veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

12 authors.

Jin-Young ParkLaboratory of Veterinary Epidemiology, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea.ORCID https://orcid.org/0009-0008-4385-9663
Seogjin KangAnimal Diseases & Health Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-7838-9042
Yoon Jung DoAnimal Diseases & Health Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-3207-3514
Eun-Yeong BokAnimal Diseases & Health Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-1045-9670
Jong Ryul ParkPetobio Inc., Hanam 12982, Korea.ORCID https://orcid.org/0009-0001-1809-0556
Tae Woo KimPetobio Inc., Hanam 12982, Korea.ORCID https://orcid.org/0009-0003-0872-2286
Chang-Min LeeDepartment of Veterinary Internal Medicine, College of Veterinary Medicine and BK21 FOUR Program for Creative Veterinary Science Research Center, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0002-7867-1053
Woong-Bin RoDepartment of Veterinary Internal Medicine, College of Veterinary Medicine and BK21 FOUR Program for Creative Veterinary Science Research Center, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0001-7123-8436
Jang Yeop KimDepartment of Defense Acquisition Program, Kwangwoon University, Seoul 01897, Korea.ORCID https://orcid.org/0000-0001-7258-3928
Dong Yun LeeDepartment of Defense Acquisition Program, Kwangwoon University, Seoul 01897, Korea.ORCID https://orcid.org/0009-0002-6408-4904
Heyong-Seok KimPetobio Inc., Hanam 12982, Korea. hskim@petobio.com.ORCID https://orcid.org/0000-0003-1089-1460
Kyung-Duk MinLaboratory of Veterinary Epidemiology, College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea. kdmin@cbnu.ac.kr.ORCID https://orcid.org/0000-0002-1000-2187

Funding

Chungcheongbuk-do, Republic of KoreaMinistry of Education 2025-RISE-11-014Rural Development Administration RS-2023-00232301
6 · The paper itself

Abstract

importanceWith a growing companion animal population and their extended lifespans in South Korea, the need for health examinations tailored to specific life stages is increasing. However, an objective standard for defining these life stages is currently lacking.

objectiveTo classify life stages for companion dogs and cats by identifying clusters in age-specific disease proportions derived from medical records, providing a data-driven foundation for health examination programs.

methodsWe collected 505,667 medical records from 82 veterinary facilities in South Korea between 2020 and 2023. Diagnoses were standardized using GPT-4o and S-BioBERT. Following preprocessing, data from 27 facilities yielded 222,706 canine and 39,910 feline records for the final analysis. Principal component analysis and K-means clustering (K = 4) were applied to age-specific disease proportions to identify life stages. The 10 most highest-proportion diagnoses diseases were determined for each cluster.

resultsCanine life stages were classified as ≤ 1 year, 2-5 years, 6-10 years, and 11-15+ years. Feline life stages were 1-2 years, 3-8 years, 9-12 years, and 13-15+ years. In dogs, developmental diseases were common in the youngest age group, while chronic diseases were more prevalent in older groups. In cats, oral and urinary diseases were high-ranking, conjunctivitis was most common in the early stage, and chronic diseases increased with age. CONCLUSIONS AND RELEVANCE: Age-specific diagnosis patterns support four practical life stages for dogs and cats in South Korea. These boundaries can inform evidence-based preventive examination schedules, animal health policy, and pet insurance product design.

Indexed as

Cat DiseasesDog DiseasesPetsAge FactorsAnimalsCatsDogsFemaleMaleRepublic of Koreaage groupscatscluster analysisDogselectronic medical records

Identifiers

PMID41494745
PMCPMC12891825

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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.