Evidence map›Paper›PMID 33456473›Full record

ReviewStem cells international2020

Stem Cells in the Treatment of Neuropathic Pain: Research Progress of Mechanism.

Meichen Liu, Kai Li, Yunyun Wang, Guoqing Zhao, Jinlan Jiang

Abstract readReview
In one paragraph

Review in Stem cells international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
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  11. Stem cells and pain.World journal of stem cells · 2023
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Cell transplantation to repair the injured spinal cord.International review of neurobiology · 2022
    Article
  17. Article
  18. Article
  19. 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

5 authors.

Meichen LiuDepartment of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China.
Kai LiDepartment of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China.
Yunyun WangDepartment of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China.
Guoqing ZhaoDepartment of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-9115-0984
Jinlan JiangDepartment of Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-5116-875X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropathic pain (NP) is pain caused by somatosensory nervous system injury or disease. Its prominent symptoms are spontaneous pain, hyperalgesia, and allodynia, and the sense of pain is extremely strong. Owing to the complex mechanism, conventional painkillers lack effectiveness. Recently, research on the treatment of NP by stem cells is increasing and promising results have been achieved in preclinical research. In this review, we briefly introduce the neuropathic pain, the current treatment strategy, and the development of stem cell therapy, and we collected the experimental and clinical trial articles of many kinds of stem cells in the treatment of neuropathic pain from the past ten years. We analyzed and summarized the general efficacy and mechanism of stem cells in the treatment of neuropathic pain. We found that the multiple-mechanism approach was different from the single mechanism of routine clinical drugs; stem cells play a role in peripheral mechanism, central mechanism, and disinhibition of spinal cord level that lead to neuropathic pain, so they are more effective in analgesia and treatment of neuropathic pain.

Identifiers

PMID33456473
PMCPMC7785341

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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.