Evidence map›Paper›PMID 29615574›Full record

ReviewJournal of developmental biology2015

Beyond the Mammalian Heart: Fish and Amphibians as a Model for Cardiac Repair and Regeneration.

Kyle Jewhurst, Kelly A McLaughlin

Open access · goldAbstract readReview
In one paragraph

Review in Journal of developmental biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. The Diverse Manifestations of Regeneration and Why We Need to Study Them.Cold Spring Harbor perspectives in biology · 2021
    Article
  4. Cauterization as a Simple Method for Regeneration Studies in the Zebrafish Heart.Journal of cardiovascular development and disease · 2020
    Article
  5. Homeobox gene Meis1 modulates cardiovascular regeneration.Seminars in cell & developmental biology · 2020
    Review
  6. 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

2 authors at 1 institution in 1 country.

Kyle JewhurstDepartment of Biology, Tufts University, Medford, MA 02155, USA. Kyle.Jewhurst@tufts.edu.
Kelly A McLaughlinDepartment of Biology, Tufts University, Medford, MA 02155, USA. Kelly.McLaughlin@tufts.edu.
Tufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemic of heart disease, the leading cause of death worldwide, is made worse by the fact that the adult mammalian heart is especially poor at repair. Damage to the mammal heart-such as that caused by myocardial infarction-leads to scarring, resulting in cardiac dysfunction and heart failure. In contrast, the hearts of fish and urodele amphibians are capable of complete regeneration of cardiac tissue from multiple types of damage, with full restoration of functionality. In the last decades, research has revealed a wealth of information on how these animals are able to perform this remarkable feat, and non-mammalian models of heart repair have become a burgeoning new source of data on the morphological, cellular, and molecular processes necessary to heal cardiac damage. In this review we present the major findings from recent research on the underlying mechanisms of fish and amphibian heart regeneration. We also discuss the tools and techniques that have been developed to answer these important questions.

Indexed as

apoptosisdedifferentiationepicardiumFGFfibrosisheartmigrationmyocardiumnecrosisproliferationregenerationretinoic acidTGF-βtransdifferentiation

Identifiers

PMID29615574
PMCPMC5831815
OpenAlexW2199396423

What OpenQuestion 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 OpenQuestion graph.