Evidence map›Paper›PMID 38193114›Full record

ReviewBioengineering & translational medicine2024

Using biomaterials to improve mesenchymal stem cell therapies for chronic, nonhealing wounds.

Romina Keshavarz, Sara Olsen, Bethany Almeida

Open access · goldAbstract readReview
In one paragraph

Review in Bioengineering & translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
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  7. Article
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  9. Review
  10. NovelMaterials (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Review
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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.

Romina KeshavarzDepartment of Chemical and Biomolecular Engineering Clarkson University Potsdam New York USA.ORCID https://orcid.org/0000-0002-8421-0798
Sara OlsenDepartment of Chemical and Biomolecular Engineering Clarkson University Potsdam New York USA.ORCID https://orcid.org/0009-0002-9426-720X
Bethany AlmeidaDepartment of Chemical and Biomolecular Engineering Clarkson University Potsdam New York USA.ORCID https://orcid.org/0000-0003-4872-3403
Clarkson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, treatment of chronic, nonhealing wounds has focused on managing symptoms using biomaterial-based wound dressings, which do not adequately address the underlying clinical issue. Mesenchymal stem cells (MSCs) are a promising cell-based therapy for the treatment of chronic, nonhealing wounds, yet inherent cellular heterogeneity and susceptibility to death during injection limit their clinical use. Recently, researchers have begun to explore the synergistic effects of combined MSC-biomaterial therapies, where the biomaterial serves as a scaffold to protect the MSCs and provides physiologically relevant physicochemical cues that can direct MSC immunomodulatory behavior. In this review, we highlight recent progress in this field with a focus on the most commonly used biomaterials, classified based on their source, including natural biomaterials, synthetic biomaterials, and the combination of natural and synthetic biomaterials. We also discuss current challenges regarding the clinical translation of these therapies, as well as a perspective on the future outlook of the field.

Indexed as

biomaterialschronic woundsmesenchymal stem cellsregenerative medicinetissue engineeringwound healing

Identifiers

PMID38193114
PMCPMC10771568
OpenAlexW4386751323

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.