Evidence map›Paper›PMID 25044502›Full record

ReviewAdvanced healthcare materials2015

The bioactivity of cartilage extracellular matrix in articular cartilage regeneration.

Amanda J Sutherland, Gabriel L Converse, Richard A Hopkins, Michael S Detamore

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
–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

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

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16 more citing papers are in PubMed but not listed here.

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.

Amanda J SutherlandBioengineering Graduate Program, University of Kansas, Lawrence, KS, 66045, USA.
Gabriel L Converse
Richard A Hopkins
Michael S Detamore

Funding

Gradient-based strategy for osteochondral regenerationR01AR056347 · NIAMS · UNIVERSITY OF KANSAS LAWRENCE · PI DETAMORE, MICHAEL S. · 2010 to 2014
$1.3M
NIAMS NIH HHS R01 AR056347
6 · The paper itself

Abstract

Cartilage matrix is a promising material for cartilage regeneration given the evidence supporting its chondroinductive character. The "raw materials" of cartilage matrix can serve as building blocks and signals for tissue regeneration. These matrices can be created by chemical or physical processing: physical methods disrupt cellular membranes and nuclei but may not fully remove all cell components and DNA, whereas chemical methods combined with physical methods are effective in fully decellularizing such materials. It is important to delineate between the sources of the cartilage matrix, that is, derived from matrix in vitro or from native tissue, and then to further characterize the cartilage matrix based on the processing method, decellularization or devitalization. With these distinctions, four types of cartilage matrices exist: decellularized native cartilage (DCC), devitalized native cartilage (DVC), decellularized cell-derived matrix (DCCM), and devitalized cell-derived matrix (DVCM). One currently marketed cartilage matrix device is decellularized, although trends in patents suggest additional decellularized products may be available in the future. To identify the most relevant source and processing for cartilage matrix, testing needs to include targeting the desired application, optimizing delivery of the material, identify relevant FDA regulations, assess availability of materials, and immunogenic properties of the product.

Indexed as

RegenerationAnimalsCartilage, ArticularExtracellular MatrixHumansPortraits as Topiccartilage matrixcartilage tissue engineeringchondroinductivitydecellularizationdevitalization

Identifiers

PMID25044502
PMCPMC4286437

What OpenQuestion holds

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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.