Evidence map›Paper›PMID 34136551›Full record

ReviewFrontiers in cardiovascular medicine2021

Therapeutic Exosomes in Prognosis and Developments of Coronary Artery Disease.

Ai-Qun Chen, Xiao-Fei Gao, Zhi-Mei Wang, Feng Wang, Shuai Luo, Yue Gu, Jun-Jie Zhang, Shao-Liang Chen

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

8 authors.

Ai-Qun ChenDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Xiao-Fei GaoDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Zhi-Mei WangDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Feng WangDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Shuai LuoDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Yue GuDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Jun-Jie ZhangDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Shao-Liang ChenDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes, with an diameter of 30~150 nm, could be released from almost all types of cells, which contain diverse effective constituent, such as RNAs, proteins, lipids, and so on. In recent years, exosomes have been verified to play an important role in mechanism, diagnosis, treatment, and prognosis of cardiovascular disease, especially coronary artery disease (CAD). Moreover, it has also been shown that exosomes derived from different cell types have various biological functions based on the cell stimulation and microenvironment. However, therapeutic exosomes are currently far away from clinical translation, despite it is full of hope. In this review, we summarize an update of the recent studies and systematic knowledge of therapeutic exosomes in atherosclerosis, myocardial infarction, and in-stent restenosis, which might provide a novel insight into the treatment of CAD and promote the potential clinical application of therapeutic exosomes.

Indexed as

atherosclerosisCADdrug deliveryexosomesmyocardial infarction

Identifiers

PMID34136551
PMCPMC8200468

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.