Evidence map›Paper›PMID 42021541›Full record

ArticleJournal of animal physiology and animal nutrition2026

Muscle Mass Is a Better Predictor of Survival in Dogs With Chronic Kidney Disease Compared to Body Condition Score.

Thiago Henrique Annibale Vendramini, Pedro Henrique Marchi, Vivian Pedrinelli, Andressa Rodrigues Amaral, Laís Oyama Cotrim Lima, Bianca Petermann Moretti, Natália Manuela Cardoso de Oliveira, Cristiana F F Pontieri, Juliana T Jeremias, Júlio Cesar de Carvalho Balieiro and 1 more

Abstract read
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In one paragraph

Article in Journal of animal physiology and animal nutrition, 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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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

11 authors.

Thiago Henrique Annibale VendraminiPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4457-8392
Pedro Henrique MarchiPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil.
Vivian PedrinelliVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Andressa Rodrigues AmaralVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Laís Oyama Cotrim LimaVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Bianca Petermann MorettiVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Natália Manuela Cardoso de OliveiraVeterinary Nutrology Service, Veterinary Teaching Hospital, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Cristiana F F PontieriPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil.
Juliana T JeremiasNutritional Development Center of PremieRpet, Grandfood Industria e Comercio LTDA, Dourado, São Paulo, Brazil.
Júlio Cesar de Carvalho BalieiroPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil.
Marcio Antonio BrunettoPet Nutrology Research Center, Department of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo, Pirassununga, São Paulo, Brazil.

Funding

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico 309189/2023-3Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior Finance Code 001Fundacao de Amparo a Pesquisa do Estado de Sao Paulo Process #2022/06499-6Fundacao de Amparo a Pesquisa do Estado de Sao Paulo Process 2023/07726-9Fundacao de Amparo a Pesquisa do Estado de Sao Paulo Process 2023/07727-5Fundacao de Amparo a Pesquisa do Estado de Sao Paulo Process #2023/09486-5
6 · The paper itself

Abstract

Monitoring prognostic factors, such as body weight, is important to assess the effectiveness of therapies in patients with chronic kidney disease (CKD) and estimate the survival rate (SR). As established in the literature, both body condition score (BCS) and muscle mass score (MMS), when analysed individually, show a positive correlation with SR in dogs with CKD. However, no studies have analysed the correlation between both parameters on SR. The present study aimed to clarify the real influence of fat and lean mass on the SR in dogs with CKD, based on a Cox proportional hazards regression analysis, to improve the nutritional management of these patients. This study included 120 client-owned adult dogs diagnosed with CKD stages 2, 3, or 4. The hazard ratios for stage, BCS, MMS, age, and sex were estimated in univariate and multivariable analyses. The results showed survival was not influenced by BCS alone but was influenced by MMS. Severe muscle mass loss (MMS 0) had a 3.85-fold risk of mortality when compared to normal muscle mass (p = 0.006). Regardless of body condition, the present study observed that what really influenced the survival of dogs with CKD, considering the stage, was muscle mass.

Indexed as

Body CompositionDog DiseasesMuscle, SkeletalRenal Insufficiency, ChronicAnimalsDogsFemaleMalebody condition scorechronic kidney diseasemuscle mass scoresurvival rate

Identifiers

PMID42021541
PMCPMC13372440

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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.