Evidence map›Paper›PMID 27379197›Full record

ReviewScientifica2016

Advances in the Use of Stem Cells in Veterinary Medicine: From Basic Research to Clinical Practice.

Melissa Medeiros Markoski

Abstract readReview
In one paragraph

Review in Scientifica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Cell and Gene Therapy in Equine Ocular Disease.Veterinary ophthalmology · 2026
    Review
  2. Mesenchymal Stem Cells in Veterinary Medicine-Still Untapped Potential.Animals : an open access journal from MDPI · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bovine mastitis prevention and control in the post-antibiotic era.Tropical animal health and production · 2021
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Stem cell-based regenerative medicine.Stem cell investigation · 2019
    Review
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.

Melissa Medeiros MarkoskiLaboratório de Cardiologia Molecular e Celular, Fundação Universitária de Cardiologia/Instituto de Cardiologia, Princesa Isabel Avenue 370, 90620-001 Porto Alegre, RS, Brazil.ORCID 0000-0003-2982-5850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, several veterinary diseases may be treated with the administration of stem cells. This is possible because these cells present a high therapeutic potential and may be injected as autologous or allogenic, freshly isolated, or previously cultured. The literature supports that the process is safe and brings considerable benefits to animal health. Knowledge about how adult stem cells modulate the molecular signals to activate cell homing has also been increasingly determined, evidencing the mechanisms which enable cells to repair and regenerate injured tissues. Preclinical studies were designed for many animal models and they have contributed to the translation to the human clinic. This review shows the most commonly used stem cell types, with emphasis on mesenchymal stem cells and their mechanistic potential to repair, as well as the experimental protocols, studied diseases, and species with the highest amount of studies and applications. The relationship between stem cell protocols utilized on clinics, molecular mechanisms, and the physiological responses may offer subsidies to new studies and therefore improve the therapeutic outcome for both humans and animals.

Identifiers

PMID27379197
PMCPMC4917716

What OpenQuestion holds

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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 OpenQuestion graph.