Evidence map›Paper›PMID 42598273›Full record

ArticleFrontiers in veterinary science2026

Physiological predictors of hematological tier outcomes in canine platelet-rich plasma: a prospective observational study.

Rocío Colomer-Selva, Asta Tvarijonaviciute, Lorena Franco-Martínez, Emma Martins, Beatriz Mena-Moros, María Descalzo-Navarro, Ángel Hernández-Guerra, Katy Satué

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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
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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

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

8 authors.

Rocío Colomer-SelvaDepartment of Animal Medicine and Surgery, Faculty of Veterinary Medicine, BIOMED SURGERY Group, CEU-Cardenal Herrera University, Valencia, Spain.
Asta TvarijonaviciuteInterdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence "Campus MareNostrum", University of Murcia, Murcia, Spain.
Lorena Franco-MartínezClinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Emma MartinsDepartment of Animal Medicine and Surgery, Faculty of Veterinary Medicine, BIOMED SURGERY Group, CEU-Cardenal Herrera University, Valencia, Spain.
Beatriz Mena-MorosDepartment of Animal Medicine and Surgery, Faculty of Veterinary Medicine, BIOMED SURGERY Group, CEU-Cardenal Herrera University, Valencia, Spain.
María Descalzo-NavarroDepartment of Animal Medicine and Surgery, Faculty of Veterinary Medicine, BIOMED SURGERY Group, CEU-Cardenal Herrera University, Valencia, Spain.
Ángel Hernández-GuerraDepartment of Animal Medicine and Surgery, Faculty of Veterinary Medicine, BIOMED SURGERY Group, CEU-Cardenal Herrera University, Valencia, Spain.
Katy SatuéDepartment of Animal Medicine and Surgery, Faculty of Veterinary Medicine, BIOMED SURGERY Group, CEU-Cardenal Herrera University, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelet-rich plasma (PRP) exhibits substantial inter-individual variability, yet the physiological factors influencing its composition remain poorly defined. Most studies evaluate PRP as a homogeneous product, potentially masking associations between donor-related characteristics and platelet parameters. This study aimed to determine how key physiological factors influence whole blood (WB) and PRP indices and to assess their relationship with platelet enrichment. Ninety-seven client-owned dogs were categorized according to sex, age, body condition score (BCS), fertility status, and activity level. PRP samples were stratified according to platelet enrichment (Q1 < 1.5×, Q2 1.5-2.5×, Q3 > 2.5×), which served as a descriptive framework for characterizing PRP heterogeneity. WB and PRP indices were analyzed using univariate methods and multivariable models, including linear regression to identify predictors of platelet enrichment and ordinal logistic regression as a complementary approach. Physiological factors were associated with variability in platelet morphological and compositional indices. Among the variables evaluated, BCS was the only physiological factor consistently associated with platelet enrichment across multivariable analyses. Higher BCS was associated with increased platelet enrichment and a higher probability of belonging to higher hematological enrichment tiers. Age was negatively associated with platelet enrichment in the multivariable linear regression model, but this association was not retained in the ordinal regression analysis. In contrast, sex, fertility status, and activity level showed no independent associations with platelet enrichment after adjustment for potential confounders. Correlation analyses revealed strong clustering among concentration-related indices [platelet count (PLT), plateletcrit (PCT), and large platelets (LARGEPLT)] and a consistent internal organization of platelet parameters within both WB and PRP. These findings indicate that platelet enrichment is primarily determined by preparation-related factors, whereas physiological factors contribute mainly to inter-individual variability in platelet structural characteristics. Among the physiological factors evaluated, BCS appeared to be the most relevant source of biological variability in platelet enrichment. Platelet enrichment and platelet structural phenotype therefore represent related but distinct dimensions of PRP characterization. Future studies incorporating functional and biochemical markers are needed to determine the biological significance of the structural variability described here.

Indexed as

body condition scorecaninehematological variabilityplatelet enrichmentplatelet-rich plasmaplatelet structural phenotype

Identifiers

PMID42598273
PMCPMC13470666

What Socratic 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 Socratic graph.