Evidence map›Paper›PMID 24234401›Full record

ReviewJournal of applied genetics2014

Genetically modified pigs to model human diseases.

Tatiana Flisikowska, Alexander Kind, Angelika Schnieke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of applied genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Genome Editing in Pigs.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Article
  8. Article
  9. Judgment Bias During Gestation in Domestic Pigs.Frontiers in veterinary science · 2022
    Article
  10. Application of the transgenic pig model in biomedical research: A review.Frontiers in cell and developmental biology · 2022
    Review
  11. MSC therapy in livestock models.Translational animal science · 2022
    Review
  12. Cas9-expressing chickens and pigs as resources for genome editing in livestock.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Spontaneous and Engineered Large Animal Models of Neurofibromatosis Type 1.International journal of molecular sciences · 2021
    Review
  14. Genetically Engineered Pigs to Study Cancer.International journal of molecular sciences · 2020
    Review
  15. Frontiers in immunology · 2020
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

3 authors.

Tatiana Flisikowska
Alexander Kind
Angelika Schnieke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically modified mice are powerful tools to investigate the molecular basis of many human diseases. Mice are, however, of limited value for preclinical studies, because they differ significantly from humans in size, general physiology, anatomy and lifespan. Considerable efforts are, thus, being made to develop alternative animal models for a range of human diseases. These promise powerful new resources that will aid the development of new diagnostics, medicines and medical procedures. Here, we provide a comprehensive review of genetically modified porcine models described in the scientific literature: various cancers, cystic fibrosis, Duchenne muscular dystrophy, autosomal polycystic kidney disease, Huntington’s disease, spinal muscular atrophy, haemophilia A, X-linked severe combined immunodeficiency, retinitis pigmentosa, Stargardt disease, Alzheimer’s disease, various forms of diabetes mellitus and cardiovascular diseases.

Indexed as

AnimalsAnimals, Genetically ModifiedDisease Models, AnimalHumansSwine

Identifiers

What OpenQuestion holds

Textmetadata
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.