ArticleVeterinary sciences2022
Machine Learning and Canine Chronic Enteropathies: A New Approach to Investigate FMT Effects.
Article in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- ACVIM-endorsed statement: consensus statement and systematic review on guidelines for the diagnosis and treatment of chronic inflammatory enteropathy in dogs.Journal of veterinary internal medicine · 2026Pooled it
- Temporal Dynamics of Clinical Response Following Fecal Microbiota Transplantation in Dogs with Chronic Enteropathy.Animals : an open access journal from MDPI · 2026Article
- Clinical benefit of faecal microbiota transplantation administered via a single retention enema as an adjunctive treatment in dogs with chronic enteropathy: a randomised controlled trial.The Journal of small animal practice · 2026Article
- Rethinking clinical response criteria in trials of chronic enteropathy in dogs: what change is truly meaningful?Journal of veterinary internal medicine · 2026Article
- OLD DOG - Validating the dog as an animal model for human aging studies.The Journal of frailty & aging · 2026Article
- Functional dyspepsia: from human to dog, a retrospective study of 29 cases illustrating a complex entity.BMC veterinary research · 2025Article
- Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.Veterinary medicine and science · 2025Review
- Microbiota modulation for infectious complications following allogeneic hematopoietic stem cell transplantation in pediatric hematological malignancies.Frontiers in pediatrics · 2025Review
- Freeze-dried fecal microorganisms as an effective biomaterial for the treatment of calves suffering from diarrhea.Scientific reports · 2024Article
- Oral Fecal Microbiota Transplantation in Dogs with Tylosin-Responsive Enteropathy-A Proof-of-Concept Study.Veterinary sciences · 2024Article
- Updating the Classification of Chronic Inflammatory Enteropathies in Dogs.Animals : an open access journal from MDPI · 2024Review
- Microbiome Responses to Oral Fecal Microbiota Transplantation in a Cohort of Domestic Dogs.Veterinary sciences · 2024Article
- Microbiome Responses to Fecal Microbiota Transplantation in Cats with Chronic Digestive Issues.Veterinary sciences · 2023Article
- Characterization of the Blood Microbiome and Comparison with the Fecal Microbiome in Healthy Dogs and Dogs with Gastrointestinal Disease.Veterinary sciences · 2023Article
- Clinical Effects of Faecal Microbiota Transplantation as Adjunctive Therapy in Dogs with Chronic Enteropathies-A Retrospective Case Series of 41 Dogs.Veterinary sciences · 2023Article
- Safety profile and effects on the peripheral immune response of fecal microbiota transplantation in clinically healthy dogs.Journal of veterinary internal medicineArticle
- Effect of a single rectal fecal microbiota transplantation on clinical severity and fecal microbial communities in dogs with chronic inflammatory enteropathy.Journal of veterinary internal medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Fecal microbiota transplantation (FMT) represents a very promising approach to decreasing disease activity in canine chronic enteropathies (CE). However, the relationship between remission mechanisms and microbiome changes has not been elucidated yet. The main objective of this study was to report the clinical effects of oral freeze-dried FMT in CE dogs, comparing the fecal microbiomes of three groups: pre-FMT CE-affected dogs, post-FMT dogs, and healthy dogs. Diversity analysis, differential abundance analysis, and machine learning algorithms were applied to investigate the differences in microbiome composition between healthy and pre-FMT samples, while Canine Chronic Enteropathy Clinical Activity Index (CCECAI) changes and microbial diversity metrics were used to evaluate FMT effects. In the healthy/pre-FMT comparison, significant differences were noted in alpha and beta diversity and a list of differentially abundant taxa was identified, while machine learning algorithms predicted sample categories with 0.97 (random forest) and 0.87 (sPLS-DA) accuracy. Clinical signs of improvement were observed in 74% (20/27) of CE-affected dogs, together with a statistically significant decrease in CCECAI (median value from 5 to 2 median). Alpha and beta diversity variations between pre- and post-FMT were observed for each receiver, with a high heterogeneity in the response. This highlighted the necessity for further research on a larger dataset that could identify different healing patterns of microbiome changes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.