Evidence map›Paper›PMID 42193745›Full record

ReviewAnimals : an open access journal from MDPI2026

The Digestibility of Vegan and Vegetarian Diets for Dogs and Cats.

Andrew Knight

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2026. 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

1 author.

Andrew KnightSchool of Veterinary Medicine, College of Environmental and Life Sciences, Murdoch University, 90 South St., Murdoch, Perth, WA 6150, Australia.ORCID 0000-0002-9753-6199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing interest in vegan and vegetarian (veg*n) diets for dogs and cats, due to factors including pet health, environmental sustainability and farmed animal welfare. Such diets should be carefully designed and manufactured in order to be nutritionally sound. Digestibility is a key, although not the only, determinant of this, and it has sometimes been claimed that dogs and cats cannot effectively digest and utilize plant-based proteins. To evaluate this claim, studies assessing canine and/or feline digestibility of veg*n diets and ingredients were analyzed. Thirty-one studies were included: 22 specific to dogs, two specific to cats, and seven applicable to both species. Across various study designs, populations, digestibility metrics, dietary ingredients and processing methods, digestibility values of veg*n diets were consistently high and broadly comparable to those of conventional meat-based diets. In all five studies that assessed apparent total tract digestibility (ATTD) of veg*n pet diets, ATTD values exceeded 80% (dry matter), 85% (organic matter), 80% (crude protein), 89% (fat), 88% (nitrogen-free extract), and 86% (energy). These studies also indicate that individual vegan protein sources can be well digested by dogs and/or cats, including those derived from legumes (such as soy-derived ingredients), pulses, grains and microbial fermentation. Discrepancies exist regarding whether these ingredients are more, less or equally digestible compared to animal-based alternatives. Nevertheless, even in studies where vegan protein sources showed lower digestibility for specific nutrients, overall digestibility remained high. These findings support the use of nutritionally sound veg*n pet diets. Such diets are not normally significantly less digestible than conventional meat-based diets.

Indexed as

catdigestibilitydogpet dietpet foodveganvegetarian

Identifiers

PMID42193745
PMCPMC13203682

What OpenQuestion holds

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Registered trials

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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.