Evidence map›Paper›PMID 33604591›Full record

ArticleRecent progress in materials2020

Using Acoustic Fields to Fabricate ECM-Based Biomaterials for Regenerative Medicine Applications.

Emma G Norris, Diane Dalecki, Denise C Hocking

Open access · hybridAbstract read
In one paragraph

Article in Recent progress in materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Emma G NorrisDepartment of Pharmacology and Physiology, University of Rochester, Rochester, New York, USA.
Diane DaleckiDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Denise C HockingDepartment of Pharmacology and Physiology, University of Rochester, Rochester, New York, USA.
University of Rochester · US

Funding

Fibronectin Mimetics and Synergistic Ultrasound Therapy for Wound Healing in AgingR01AG058746 · NIA · UNIVERSITY OF ROCHESTER · PI DALECKI, DIANE, HOCKING, DENISE C · 2018 to 2022
$1.7M
Developing Acoustic Patterning for NeuroengineeringR21GM131281 · NIGMS · UNIVERSITY OF ROCHESTER · PI DALECKI, DIANE, HOCKING, DENISE C · 2018 to 2019
$424k
NIA NIH HHS R01 AG058746NIGMS NIH HHS R21 GM131281
6 · The paper itself

Abstract

Ultrasound is emerging as a promising tool for both characterizing and fabricating engineered biomaterials. Ultrasound-based technologies offer a diverse toolbox with outstanding capacity for optimization and customization within a variety of therapeutic contexts, including improved extracellular matrix-based materials for regenerative medicine applications. Non-invasive ultrasound fabrication tools include the use of thermal and mechanical effects of acoustic waves to modify the structure and function of extracellular matrix scaffolds both directly, and indirectly via biochemical and cellular mediators. Materials derived from components of native extracellular matrix are an essential component of engineered biomaterials designed to stimulate cell and tissue functions and repair or replace injured tissues. Thus, continued investigations into biological and acoustic mechanisms by which ultrasound can be used to manipulate extracellular matrix components within three-dimensional hydrogels hold much potential to enable the production of improved biomaterials for clinical and research applications.

Indexed as

acousticsbiofabricationcollagenextracellular matrixUltrasound

Identifiers

PMID33604591
PMCPMC7889011
OpenAlexW3044630325

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.