Evidence map›Paper›PMID 28335261›Full record

ReviewNanomaterials (Basel, Switzerland)2016

Nanomaterials for Cardiac Myocyte Tissue Engineering.

Rodolfo Amezcua, Ajay Shirolkar, Carolyn Fraze, David A Stout

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Nanomaterials for Cardiac Tissue Engineering.Molecules (Basel, Switzerland) · 2020
    Review
  5. Review
  6. Review
  7. Review
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  9. Review
  10. Article
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  12. 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

4 authors.

Rodolfo AmezcuaDepartment of Mechanical and Aerospace Engineering, California State University, Long Beach, Long Beach, CA 90840, USA. rodolfo.amez@gmail.com.
Ajay ShirolkarDepartment of Mechanical and Aerospace Engineering, California State University, Long Beach, Long Beach, CA 90840, USA. shirolkar.ajay234@gmail.com.
Carolyn FrazeDeparment of Mechanical Engineering, Brigham Young University-Idaho, Rexburg, ID 83460, USA. fraze.carolyn@gmail.com.
David A StoutDepartment of Mechanical and Aerospace Engineering, California State University, Long Beach, Long Beach, CA 90840, USA. david.stout@csulb.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since their synthesizing introduction to the research community, nanomaterials have infiltrated almost every corner of science and engineering. Over the last decade, one such field has begun to look at using nanomaterials for beneficial applications in tissue engineering, specifically, cardiac tissue engineering. During a myocardial infarction, part of the cardiac muscle, or myocardium, is deprived of blood. Therefore, the lack of oxygen destroys cardiomyocytes, leaving dead tissue and possibly resulting in the development of arrhythmia, ventricular remodeling, and eventual heart failure. Scarred cardiac muscle results in heart failure for millions of heart attack survivors worldwide. Modern cardiac tissue engineering research has developed nanomaterial applications to combat heart failure, preserve normal heart tissue, and grow healthy myocardium around the infarcted area. This review will discuss the recent progress of nanomaterials for cardiovascular tissue engineering applications through three main nanomaterial approaches: scaffold designs, patches, and injectable materials.

Indexed as

cardiac infarctioninjectablenanomaterialspatchscaffoldtissue engineering

Identifiers

PMID28335261
PMCPMC5224604

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.