Evidence map›Paper›PMID 25489516›Full record

ReviewWorld journal of plastic surgery2014

Tissue engineered scaffolds in regenerative medicine.

Mohsen Hosseinkhani, Davood Mehrabani, Mohammad Hassan Karimfar, Salar Bakhtiyari, Amir Manafi, Reza Shirazi

Abstract readReview
In one paragraph

Review in World journal of plastic surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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1 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

6 authors.

Mohsen HosseinkhaniDepartment of Anatomical Sciences, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran;
Davood MehrabaniStem Cell and Transgenic Technology Research Center, Department of Pathology, Shiraz University of Medical Sciences, Shiraz, Iran;
Mohammad Hassan KarimfarDepartment of Anatomical Sciences, School of Medicine, Zahedan University of Medical sciences, Zahedan, Iran;
Salar BakhtiyariDepartment of Clinical Biochemistry, School of Medicine, Ilam University of Medical sciences, Ilam, Iran;
Amir ManafiStudent Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran;
Reza ShiraziDepartment of Anatomical Sciences, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran; ; Nanobiotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cells are self-renewing cells that can be differentiated into other cell types. Conventional in vitro models for studying stem cells differentiation are usually preformed in two-dimensional (2D) cultures. The design of three-dimensional (3D) in vitro models which ideally are supposed to mimic the in vivo stem cells microenvironment is potentially useful for inducing stem cell derived tissue formation. Biodegradable scaffolds play an important role in creating a 3D environment to induce tissue formation. The application of scaffolding materials together with stem cell technologies are believed to hold enormous potential for tissue regeneration. In this review, we provide an overview of application of tissue engineered scaffolds and stem cells for the development of stem cell-based engineered tissue replacements. In particular, we focus on bone marrow stem cells (BMSCs) and mesenchymal stem cell (MSCs) due to their extensive clinical applications.

Indexed as

Regenerative medicineScaffoldStem cellsTissue engineering

Identifiers

PMID25489516
PMCPMC4236978

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.