Evidence map›Paper›PMID 33204113›Full record

ArticleStem cells and cloning : advances and applications2020

Mesenchymal Stem Cells Application in Wound Tissue Healing in Old Animals.

Ekaterina Silina, Natalia Manturova, Victor Stupin

Open access · goldAbstract read
In one paragraph

Article in Stem cells and cloning : advances and applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 2 institutions in 1 country.

Ekaterina SilinaDepartment of Human Pathology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.ORCID 0000-0002-0246-5149
Natalia ManturovaDepartment of Plastic and Reconstructive Surgery, Cosmetology and Cell Technologies, Pirogov Russian National Research Medical University, Moscow, Russia.ORCID 0000-0003-4281-1947
Victor StupinDepartment of Hospital Surgery №1, Pirogov Russian National Research Medical University, Moscow, Russia.ORCID 0000-0002-9522-8061
Pirogov Russian National Research Medical University · RUSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAn assessment of the effectiveness of progenitor mesenchymal stem cell as injections and as part of a polymer hydrogel for the wounds treatment. MATERIALS AND

methodsFixed-size wounds (average area of 135.8 mm

resultsBoth the local and systemic application of MSC led to an improvement in wound regeneration. During the acute inflammatory phase (up to 3 days), the method and place of application did not affect the dynamics of wound healing. The use of Polymer_sc ultimately demonstrated the best effectiveness. The anti-inflammatory effect of MSC was confirmed by a decrease in leukocyte infiltration in the wound centers (Polymer_sc and SC groups) and edges (all groups, with the greatest extent in the Polymer_sc group). The proliferative phase that expresses itself via accelerated growth in fibroblast number and collagen production was affected in the Control_Psc group and mostly in the Polymer_sc group.

conclusionThe applications of MSC in various ways improve and accelerate wound healing even in old animals. The best performance was achieved in the Polymer_sc group.

Indexed as

adult animalscollagenepidermisepitheliumfibroblastsinjectionsleukocyteslocal and systemic action of stem cellspolymersregenerationskinstem cellsumbilical cord cellswoundwound areawound treatment

Identifiers

PMID33204113
PMCPMC7667208
OpenAlexW3098211494

What OpenQuestion holds

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LicenceCC BY-NC
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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.