Evidence map›Paper›PMID 36006314›Full record

ReviewVeterinary sciences2022

Canine Fecal Microbiota Transplantation: Current Application and Possible Mechanisms.

Maimaiti Tuniyazi, Xiaoyu Hu, Yunhe Fu, Naisheng Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Understanding the diversity and roles of the canine gut microbiome.Journal of animal science and biotechnology · 2025
    Review
  6. Microorganisms · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Monocytes Count, NLR, MLR and PLR in Canine Inflammatory Bowel Disease.Animals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
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

4 authors at 1 institution in 1 country.

Maimaiti TuniyaziCollege of Veterinary Medicine, Jilin University, Changchun 130062, China.
Xiaoyu HuCollege of Veterinary Medicine, Jilin University, Changchun 130062, China.
Yunhe FuCollege of Veterinary Medicine, Jilin University, Changchun 130062, China.
Naisheng ZhangCollege of Veterinary Medicine, Jilin University, Changchun 130062, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal microbiota transplantation (FMT) is an emerging therapeutic option for a variety of diseases, and is characterized as the transfer of fecal microorganisms from a healthy donor into the intestinal tract of a diseased recipient. In human clinics, FMT has been used for treating diseases for decades, with promising results. In recent years, veterinary specialists adapted FMT in canine patients; however, compared to humans, canine FMT is more inclined towards research purposes than practical applications in most cases, due to safety concerns. Therefore, in order to facilitate the application of fecal transplant therapy in dogs, in this paper, we review recent applications of FMT in canine clinical treatments, as well as possible mechanisms that are involved in the process of the therapeutic effect of FMT. More research is needed to explore more effective and safer approaches for conducting FMT in dogs.

Indexed as

caninefecal microbiota transplantationmechanismtreatment

Identifiers

PMID36006314
PMCPMC9413255
OpenAlexW4289529396

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.