Evidence map›Paper›PMID 31779024›Full record

ReviewGerontology2020

Advancements to the Axolotl Model for Regeneration and Aging.

Warren A Vieira, Kaylee M Wells, Catherine D McCusker

Open access · bronzeAbstract readReview
In one paragraph

Review in Gerontology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Static morphogen scaling enables proportional growth in a tissue growth model inspired by axolotl limb regeneration.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. A Novel Method for Culturing Telencephalic Neurons in Axolotls.The Journal of comparative neurology · 2025
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Genetic and Epigenetic Interactions Involved in Senescence of Stem Cells.International journal of molecular sciences · 2024
    Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Warren A VieiraDepartment of Biology, University of Massachusetts, Boston, Massachusetts, USA.
Kaylee M WellsDepartment of Biology, University of Massachusetts, Boston, Massachusetts, USA.
Catherine D McCuskerDepartment of Biology, University of Massachusetts, Boston, Massachusetts, USA, catherine.mccusker@umb.edu.
University of Massachusetts Boston · US

Funding

The function of chromatin remodeling in the patterning of the salamander limb regenerateR15HD092180 · NICHD · UNIVERSITY OF MASSACHUSETTS BOSTON · PI MCCUSKER, CATHERINE D · 2018 to 2025
$1.5M
NICHD NIH HHS R15 HD092180
6 · The paper itself

Abstract

Loss of regenerative capacity is a normal part of aging. However, some organisms, such as the Mexican axolotl, retain striking regenerative capacity throughout their lives. Moreover, the development of age-related diseases is rare in this organism. In this review, we will explore how axolotls are used as a model system to study regenerative processes, the exciting new technological advancements now available for this model, and how we can apply the lessons we learn from studying regeneration in the axolotl to understand, and potentially treat, age-related decline in humans.

Indexed as

AgingAmbystoma mexicanumAnimalsHumansRegenerationAgingAxolotlCancerImmune systemNerve signalingRegenerationScar formationTechnological advances

Identifiers

PMID31779024
PMCPMC7214127
OpenAlexW2990972147

What OpenQuestion holds

Textmetadata
LicenceTDM
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.