Evidence map›Paper›PMID 34823579›Full record

ReviewStem cell research & therapy2021

Recent strategies for enhancing the therapeutic efficacy of stem cells in wound healing.

Yongqing Zhao, Min Wang, Feng Liang, Jiannan Li

Abstract readReview
In one paragraph

Review in Stem cell research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Trial
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  15. From Time to Timer in Wound Healing Through the Regeneration.Advances in experimental medicine and biology · 2024
    Review
  16. Article
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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

4 authors.

Yongqing Zhao *Department of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, Jilin, China.
Min Wang *Department of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, Jilin, China.
Feng LiangDepartment of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, Jilin, China.
Jiannan LiDepartment of General Surgery, The Second Hospital of Jilin University, No. 218 Ziqiang Street, Changchun, 130041, Jilin, China. jnli@ciac.ac.cn.ORCID 0000-0001-9744-7666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin wound healing is a multi-stage process that depends on the coordination of multiple cells and mediators. Chronic or non-healing wounds resulting from the dysregulation of this process represent a challenge for the healthcare system. For skin wound management, there are various approaches to tissue recovery. For decades, stem cell therapy has made outstanding achievements in wound regeneration. Three major types of stem cells, including embryonic stem cells, adult stem cells, and induced pluripotent stem cells, have been explored intensely. Mostly, mesenchymal stem cells are thought to be an extensive cell type for tissue repair. However, the limited cell efficacy and the underutilized therapeutic potential remain to be addressed. Exploring novel and advanced treatments to enhance stem cell efficacy is an urgent need. Diverse strategies are applied to maintain cell survival and increase cell functionality. In this study, we outline current approaches aiming to improve the beneficial outcomes of cell therapy to better grasp clinical cell transformation.

Indexed as

Induced Pluripotent Stem CellsWound HealingCell- and Tissue-Based TherapySkinStem Cell TransplantationAdult stem cellsEmbryonic stem cellsInduced pluripotent stem cellsMesenchymal stem cellsWound healing

Identifiers

PMID34823579
PMCPMC8614023

What OpenQuestion holds

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Registered trials

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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.