Evidence map›Paper›PMID 39512830›Full record

ReviewFrontiers in pharmacology2024

Nanoparticle-based approaches for treating restenosis after vascular injury.

Liangfeng Zhao, Liuliu Feng, Rong Shan, Yue Huang, Li Shen, Mingliang Fan, Yu Wang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Liangfeng Zhao *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Liuliu Feng *Department of Cardiology, Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Shanghai, China.
Rong Shan *Department of Cardiology, Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Shanghai, China.
Yue HuangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Li ShenDepartment of Cardiology, Zhongshan Hospital, Shanghai Institute of Cardiovascular Diseases, Fudan University, Shanghai, China.
Mingliang FanSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Yu WangDepartment of Cardiology, Shidong Hospital Affiliated to University of Shanghai for Science and Technology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Percutaneous coronary intervention (PCI) is currently the main method for treating coronary artery stenosis, but the incidence of restenosis after PCI is relatively high. Restenosis, the narrowing of blood vessels by more than 50% of the normal diameter after PCI, severely compromises the therapeutic efficacy. Therefore, preventing postinterventional restenosis is important. Vascular restenosis is mainly associated with endothelial injury, the inflammatory response, the proliferation and migration of vascular smooth muscle cells (VSMCs), excessive deposition of extracellular matrix (ECM) and intimal hyperplasia (IH) and is usually prevented by administering antiproliferative or anti-inflammatory drugs through drug-eluting stents (DESs); however, DESs can lead to uncontrolled drug release. In addition, as extracorporeal implants, they can cause inflammation and thrombosis, resulting in suboptimal treatment. Therefore, there is an urgent need for a drug carrier with controlled drug release and high biocompatibility for

Indexed as

controlled releasenanoparticlestargeted drug deliveryvascular restenosiswater solubility

Identifiers

PMID39512830
PMCPMC11540800

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.