Evidence map›Paper›PMID 42244074›Full record

ArticleAustralian veterinary journal2026

Use of VetCompass Australia data to estimate body weight for antimicrobial stewardship in Australian dogs.

L Hardefeldt, K Li, K Bailey

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Article in Australian veterinary journal, 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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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

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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

3 authors.

L HardefeldtAsia-Pacific Centre for Animal Health, Melbourne Veterinary School & National Centre for Antimicrobial Stewardship, University of Melbourne, Parkville, Victoria, Australia.ORCID https://orcid.org/0000-0001-5780-7567
K LiAsia-Pacific Centre for Animal Health, Melbourne Veterinary School & National Centre for Antimicrobial Stewardship, University of Melbourne, Parkville, Victoria, Australia.
K BaileyAsia-Pacific Centre for Animal Health, Melbourne Veterinary School & National Centre for Antimicrobial Stewardship, University of Melbourne, Parkville, Victoria, Australia.

Funding

Australian Government through the Australian Research Council LIEF Scheme LE160100026National Health and Medical Research Council 2035367
6 · The paper itself

Abstract

Evaluation of the appropriateness of antimicrobial use requires multiple data elements, including the indication for treatment, duration of therapy and dose of the drug used. To calculate the dose the volume of active ingredient and animal weight are required. Dog weight is frequently missing from the electronic medical records from the VetCompass Australia database. Electronic clinical records were extracted from VetCompass Australia for the top 10 breeds of dogs in the database where weight, age and sex were recorded (n = 72,089). The mean weight for age and sex was calculated for each breed. In a second cohort, animals aged greater than 1 year that had weight recorded and were prescribed an antimicrobial were extracted (n = 69,683). The total milligrams of antimicrobial administered were extracted using previously described tools. The true weight and the breed/sex/age average were then used to assess the appropriateness of antimicrobial doses. Antimicrobial doses were compared to those recommended in the Australian Veterinary Prescribing Guidelines from the University of Melbourne. There were 46,172 appropriate doses of antimicrobials in cohort 2 (66% appropriateness). The true positive rate for VetCompass Australia approximated weight was 82%. The true negative rate for VetCompass Australia approximated weight was 78%. Subgroup mean imputation is a reasonably accurate method of dealing with missing data for determining the appropriateness of antimicrobial dose for population level studies.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsAntimicrobial StewardshipBody WeightDog DiseasesAnimalsAustraliaDatabases, FactualDogsElectronic Health RecordsFemaleMaleAnti-Bacterial AgentsAnti-Infective Agentsantimicrobial resistancebig datacanine

Identifiers

PMID42244074

What OpenQuestion holds

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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.