Evidence map›Paper›PMID 39020426›Full record

ReviewStem cell research & therapy2024

Optimization strategies for mesenchymal stem cell-based analgesia therapy: a promising therapy for pain management.

Jing Zhang, Ping Wu, Qingping Wen

Abstract readReview
In one paragraph

Review in Stem cell research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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.

Jing ZhangDepartment of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116000, China.
Ping WuDepartment of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116000, China. 13684559453@163.com.
Qingping WenDepartment of Anesthesiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116000, China. qingping_wen@yahoo.com.ORCID 0000-0003-3999-4770

Funding

Doctoral Start-up Foundation of Liaoning Province 2023-BS-165Project of Science and Technology Innovation Fund of Dalian Municipal Government 2022JJ12WZ058
6 · The paper itself

Abstract

Pain is a very common and complex medical problem that has a serious impact on individuals' physical and mental health as well as society. Non-steroidal anti-inflammatory drugs and opioids are currently the main drugs used for pain management, but they are not effective in controlling all types of pain, and their long-term use can cause adverse effects that significantly impair patients' quality of life. Mesenchymal stem cells (MSCs) have shown great potential in pain treatment. However, limitations such as the low proliferation rate of MSCs in vitro and low survival rate in vivo restrict their analgesic efficacy and clinical translation. In recent years, researchers have explored various innovative approaches to improve the therapeutic effectiveness of MSCs in pain treatment. This article reviews the latest research progress of MSCs in pain treatment, with a focus on methods to enhance the analgesic efficacy of MSCs, including engineering strategies to optimize the in vitro culture environment of MSCs and to improve the in vivo delivery efficiency of MSCs. We also discuss the unresolved issues to be explored in future MSCs and pain research and the challenges faced by the clinical translation of MSC therapy, aiming to promote the optimization and clinical translation of MSC-based analgesia therapy.

Indexed as

Mesenchymal Stem CellsMesenchymal Stem Cell TransplantationPain ManagementAnalgesiaAnimalsHumansPainAnalgesia therapyMesenchymal stem cellsOptimization strategiesPainTargeted delivery

Identifiers

PMID39020426
PMCPMC11256674

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.