Evidence map›Paper›PMID 39852558›Full record

ReviewJournal of functional biomaterials2024

Nano Delivery System for Atherosclerosis.

Zhuoyi Rong, Xuan He, Tianjian Fan, Haitao Zhang

Abstract readReview
In one paragraph

Review in Journal of functional biomaterials, 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. 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

4 authors.

Zhuoyi RongHunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang 421001, China.
Xuan HeHunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang 421001, China.
Tianjian FanHunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang 421001, China.
Haitao ZhangHunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang 421001, China.ORCID 0000-0002-6082-973X

Funding

Innovation and Entrepreneurship Training Program for College Students in Hunan Province S202310555101Natural Science Foundation of Hunan Province 2021JJ30603Research Foundation of Education Bureau of Hunan Province 21A0284Scientific Research Project of Hunan Provincial Health Commission 202113021875
6 · The paper itself

Abstract

Atherosclerosis, a pathological process propelled by inflammatory mediators and lipids, is a principal contributor to cardiovascular disease incidents. Currently, drug therapy, the primary therapeutic strategy for atherosclerosis, faces challenges such as poor stability and significant side effects. The advent of nanomaterials has garnered considerable attention from scientific researchers. Nanoparticles, such as liposomes and polymeric nanoparticles, have been developed for drug delivery in atherosclerosis treatment. This review will focus on how nanoparticles effectively improve drug safety and efficacy, as well as the continuous development and optimization of nanoparticles of the same material and further explore current challenges and future opportunities in this field.

Indexed as

atherosclerosisatherosclerotic plaquenanomaterialnanoparticletheranostics

Identifiers

PMID39852558
PMCPMC11766408

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.