Evidence map›Paper›PMID 25394976›Full record

ReviewDer Pathologe2014

[Prostaglandin E₂: innovative approaches for tissue engineering of articular cartilage].

C Brochhausen-Delius

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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

1 author at 1 institution in 1 country.

C Brochhausen-DeliusREPAIR-lab, Institut für Pathologie, Universitätsmedizin der Johannes Gutenberg-Universität, Langenbeckstr. 1, 55131, Mainz, Deutschland, brochhausen@pathologie.klinik.uni-mainz.de.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic diseases, traumatic tissue defects and tumor resections lead to irreversible loss of tissue which are usually treated by reconstructive techniques or prostheses. Tissue engineering represents a change of paradigm from the structural replacement of damaged tissue to genuine regeneration of organ-specific tissue with reconstruction of function. Therefore, autologous cells, biomaterials and growth factors are used to achieve this goal. Tissue engineering of articular cartilage is used in this article as an example of the successful identification of prostaglandin E2 (PGE2) as a growth factor during endochondral ossification. In addition PGE2 could be shown to be beneficial for a rapid phenotypical redifferentiation and synthesis of collagen II in human articular chondrocytes. Based on these findings the development of a combined construct of an oriented scaffold and release system is demonstrated. The innovative characterization of these cell-seeded constructs by the use of synchrotron microcomputed tomography (μCT) permits non-destructive analysis even down to the cellular level. Our results indicate new requirements for the pathological anatomical diagnosis with a view to long-term effects of tissue engineering constructs, the biocompatibility of biodegradable biomaterials and even more important the regenerative potential of different lesions, with prediction of the outcome of tissue engineering-based strategies for individual patients.

Indexed as

AnimalsCartilage, ArticularCell DifferentiationChondrocytesDinoprostoneHumansMicroscopy, Electron, TransmissionOrgan SpecificityOsteogenesisRatsRegenerationSynchrotronsTissue EngineeringX-Ray MicrotomographyDinoprostone

Identifiers

PMID25394976
OpenAlexW2772378384

What OpenQuestion holds

Textmetadata
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.