Evidence map›Paper›PMID 34899907›Full record

ReviewJournal of oncology2021

The Potential Therapeutic Role of Mesenchymal Stem Cells-Derived Exosomes in Osteoradionecrosis.

Yuetian Li, Xinyue Wang, Yu Pang, Shuangcheng Wang, Meng Luo, Bo Huang

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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

6 authors at 1 institution in 1 country.

Yuetian LiWest China School of Stomatology, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0001-8308-4585
Xinyue WangWest China School of Stomatology, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-7742-1335
Yu PangWest China School of Stomatology, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0001-8505-8719
Shuangcheng WangWest China School of Stomatology, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-3525-4647
Meng LuoWest China School of Stomatology, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-4650-7996
Bo HuangState Key Laboratory of Oral Diseases, and General Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-1762-9812
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most serious complications of radiotherapy, osteoradionecrosis (ORN) seriously affects the quality of life of patients and even leads to death. Vascular injury and immune disorders are the main causes of bone lesions. The traditional conservative treatment of ORN has a low cure rate and high recurrent. Exosomes are a type of extracellular bilayer lipid vesicles secreted by almost all cell types. It contains cytokines, proteins, mRNA, miRNA, and other bioactive cargos, which contribute to several distinct processes. The favorable biological functions of mesenchymal stem cells-derived exosomes (MSC exosomes) include angiogenesis, immunomodulation, bone regeneration, and ferroptosis regulation. Exploring the characteristic of ORN and MSC exosomes can promote bone regeneration therapies. In this review, we summarized the current knowledge of ORN and MSC exosomes and highlighted the potential application of MSC exosomes in ORN treatment.

Identifiers

PMID34899907
PMCPMC8660232
OpenAlexW4200347699

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.