Evidence map›Paper›PMID 42655837›Full record

ArticleVeterinary sciences2026

A Descriptive Analysis of Morbidity Patterns Among Insured Pet Cats in China Based on Insurance Claims.

Kaixin Zhang, Chang Wang, Richard Laven, Baiyu Li, Meng Li, D Aaron Yang

Abstract read
In one paragraph

Article in Veterinary sciences, 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

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

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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

6 authors.

Kaixin ZhangCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Chang WangAnt Group, Hangzhou 310023, China.
Richard LavenCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-8938-8595
Baiyu LiAnt Group, Hangzhou 310023, China.
Meng LiCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0009-0008-8553-0284
D Aaron YangCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0003-3893-9403

Funding

Ant Group
6 · The paper itself

Abstract

Population-level information on feline morbidity in China remains limited despite the rapid growth of the pet cat population. This study described morbidity patterns among insured cats in China using insurance claims from a major pet insurance provider, with diagnoses derived from veterinary records. Disease events were classified into hierarchical diagnostic categories and subcategories using disease names and clinical descriptions. The study population included 163,890 insured cats contributing 194,284 cat-years at risk. A total of 42,867 disease events were identified in 31,870 cats, and ~ 19.5% of insured cats had at least one disease event during follow-up. The overall incidence rate was ~22 events per 100 cat-years. Digestive disorders were the most commonly claimed disorders, followed by urinary disorders, infectious diseases, respiratory disorders, and dermatological disorders. Gastroenteritis and lower urinary tract disease were the most frequent diagnostic subcategories. Cats aged less than one year had the highest overall incidence rate. Male cats had a higher incidence rate than female cats, mainly reflecting the higher burden of lower urinary tract disorders. Descriptive differences were also observed among British Shorthair, Maine Coon, and Devon Rex cats. This study provides the first broad insurance-based description of feline morbidity across multiple diagnostic categories in China. The findings offer baseline evidence for future disease-specific epidemiological studies.

Indexed as

Chinaepidemiologyfelineincidence ratemorbiditypet insurance

Identifiers

PMID42655837
PMCPMC13517770

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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.