Evidence map›Paper›PMID 37069645›Full record

SynthesisJournal of translational medicine2023

Protective properties of extracellular vesicles in sepsis models: a systematic review and meta-analysis of preclinical studies.

Shujun Yang, Kanglong Zhang, Jingyu Hou, Xin Liu, Daishi Xu, Xuxiang Chen, Shuangmei Li, Yinghui Hong, Changqing Zhou, Hao Wu and 5 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
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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

15 authors at 1 institution in 1 country.

Shujun Yang *Department of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Kanglong Zhang *Department of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Jingyu Hou *Department of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Xin LiuDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Daishi XuDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Xuxiang ChenDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Shuangmei LiDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Yinghui HongDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Changqing ZhouDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Hao WuDepartment of Emergency, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, 510120, Guangdong, People's Republic of China.
Guanghui ZhengDepartment of Emergency, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, 510120, Guangdong, People's Republic of China.
Chaotao ZengDepartment of Emergency, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, 510120, Guangdong, People's Republic of China.
Haidong WuDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Jiaying FuDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China.
Tong WangDepartment of Emergency, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518003, Guangdong, People's Republic of China. tongwang316@163.com.ORCID 0000-0003-4644-4179
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple preclinical studies have reported a beneficial effect of extracellular vesicles (EVs), especially mesenchymal stem cells derived EVs (MSC-EVs), in the treatment of sepsis. However, the therapeutic effect of EVs is still not universally recognized. Therefore, we conducted this meta-analysis by summarizing data from all published studies that met certain criteria to systematically review the association between EVs treatment and mortality in animal models of sepsis.

methodsSystematic retrieval of all studies in PubMed, Cochrane and Web of Science that reported the effects of EVs on sepsis models up to September 2022. The primary outcome was animal mortality. After screening the eligible articles according to inclusion and exclusion criteria, the inverse variance method of fixed effect model was used to calculate the joint odds ratio (OR) and 95% confidence interval (CI). Meta-analysis was performed by RevMan version 5.4.

resultsIn total, 17 studies met the inclusion criteria. Meta-analysis of those studies showed that EVs treatment was associated with reduced mortality in animal models of sepsis (OR 0.17 95% CI: 0.11,0.26, P < 0.001). Further subgroup analysis showed that the mode of sepsis induction, the source, dose, time and method of injection, and the species and gender of mice had no significant effect on the therapeutic effect of EVs.

conclusionThis meta-analysis showed that MSC-EVs treatment may be associated with lower mortality in animal models of sepsis. Subsequent preclinical studies will need to address the standardization of dose, source, and timing of EVs to provide comparable data. In addition, the effectiveness of EVs in treating sepsis must be studied in large animal studies to provide important clues for human clinical trials.

Indexed as

Extracellular VesiclesMesenchymal Stem CellsSepsisAnimalsCell- and Tissue-Based TherapyDisease Models, AnimalHumansMiceExtracellular vesiclesMesenchymal stem cellsMeta-analysisPreclinical analysisSepsis

Identifiers

PMID37069645
PMCPMC10108460
OpenAlexW4366188890

What OpenQuestion holds

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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.