Evidence map›Paper›PMID 23828863›Full record

ReviewAdvanced healthcare materials2013

Combinatorial biomatrix/cell-based therapies for restoration of host tissue architecture and function.

David Antonio Cantu, W John Kao

Open access · greenAbstract readReview
In one paragraph

Review in Advanced healthcare materials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 2 institutions in 1 country.

David Antonio CantuSchool of Pharmacy, Division of Pharmaceutical Sciences, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA; Department of Biomedical Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI 53705, USA.
W John Kao
University of Wisconsin Carbone Cancer Center · USUniversity of Wisconsin–Madison · US

Funding

Interaction between host cells and multicomponent material matrixR01EB006613 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI KAO, WEIYUAN J · 2006 to 2009
$1000k
NIBIB NIH HHS EB6613NIBIB NIH HHS R01 EB006613
6 · The paper itself

Abstract

This Progress Report reviews recent advances in the utility of extracellular matrix (ECM)-mimic biomaterials in presenting and delivering therapeutic cells to promote tissue healing. This overview gives a brief introduction of different cell types being used in regenerative medicine and tissue engineering while addressing critical issues that must be overcome before cell-based approaches can be routinely employed in the clinic. A selection of five commonly used cell-associated, biomaterial platforms (collagen, hyaluronic acid, fibrin, alginate, and poly(ethylene glycol)) are reviewed for treatment of a number of acute injury or diseases with emphasis on animal models and clinical trials. This article concludes with current challenges and future perspectives regarding foreign body host response to biomaterials and immunological reactions to allogeneic or xenogeneic cells, vascularization and angiogenesis, matching mechanical strength and anisotropy of native tissues, as well as other non-technical issues regarding the clinical translation of biomatrix/cell-based therapies.

Indexed as

Tissue ScaffoldsAnimalsBiocompatible MaterialsExtracellular MatrixHumansRegenerative MedicineStem CellsTissue EngineeringBiocompatible Materialsbiomaterialscell-based therapycell presentationextracellular matrixforeign body response

Identifiers

PMID23828863
PMCPMC3896550
OpenAlexW2044431809

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.