Evidence map›Paper›PMID 40164106›Full record

ArticleAmerican journal of veterinary research2025

Development and validation of a chronic diagnosis inventory that enables reliable documentation of canine multimorbidity in the Dog Aging Project.

Tara Long, Kellyn E McNulty, Kate E Creevy, Annette Fitzpatrick, Alisa Hutchison, Dog Aging Project Consortium, Audrey Ruple

Abstract readValidation Study
In one paragraph

Article in American journal of veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Tara LongDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA.
Kellyn E McNultyDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX.
Kate E CreevyDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX.
Annette FitzpatrickDepartment of Family Medicine, School of Medicine, University of Washington, Seattle, WA.
Alisa HutchisonDepartment of Veterinary Medicine and Surgery, University of Missouri, Columbia, MO.
Dog Aging Project Consortium
Audrey RupleDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA.ORCID 0000-0002-5223-0217

Funding

The Dog Aging Project: Genetic and Environmental Determinants of Healthy Aging in Companion Dogs Competitive RevisionU19AG057377 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2018 to 2023
$29.0M
NIA NIH HHS U19 AG057377
6 · The paper itself

Abstract

Objective: To develop and validate a novel chronic diagnosis inventory (CDI) to enable the study of canine multimorbidity. Methods: An initial CDI draft was created by a veterinary internist, a veterinary epidemiologist, and a human health epidemiologist, and 34 nonspecialist veterinarians were chosen by convenience sampling throughout the US to review medical records and apply the CDI during 2 pilot studies conducted in January and February 2021 (pilot 1) and May and June 2021 (pilot 2). We specified the following inclusion criteria for records: (1) contained within an electronic veterinary medical record system, (2) from a general veterinary practice, (3) dogs ≥ 8 years old, (4) documented ≥ 3 veterinary visits, and (5) most recently documented patient visit within 2 months prior to the study. The CDI was assessed through commercially available survey-generating instruments, and correlation analyses were performed. Results: Inter-rater κ statistics in the first pilot were poor, leading to clarifications and minor alterations to the CDI. Inter- and intrarater agreement for the second pilot indicated high diagnostic reliability. Conclusions: The CDI was validated as a tool for documenting multimorbidity in dogs. Clinical Relevance: The CDI will enable veterinarians to accurately and consistently document multimorbidity in diverse settings, which will enable the construction of multimorbidity tools. These tools can be used to predict the development of new morbidities in a multimorbid dog, anticipate the impact of new diagnoses on patient lifespan and quality of life, and plan for associated healthcare costs.

Indexed as

AgingDog DiseasesMultimorbidityAnimalsChronic DiseaseDogsFemaleMalePilot ProjectsReproducibility of Resultsagingcomorbidityhealthspanindexmultimorbidity

Identifiers

PMID40164106
PMCPMC12377553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.