Evidence map›Paper›PMID 31106257›Full record

ArticleRegenerative engineering and translational medicine2019

Calcium-binding nanoparticles for vascular disease.

Deborah D Chin, Sampreeti Chowdhuri, Eun Ji Chung

Abstract read
In one paragraph

Article in Regenerative engineering and translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Nanomedicines for cardiovascular disease.Nature cardiovascular research · 2023
    Review
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Deborah D ChinDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Sampreeti ChowdhuriDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
Eun Ji ChungDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.
University of Southern California · US

Funding

A Revolutionary Approach for Polycystic Kidney Disease: Oral NanotherapeuticsDP2DK121328 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHUNG, EUN JI PAIGE · 2018 to 2018
$2.4M
Multimodal Peptide Amphiphile Micelles for AtherosclerosisR00HL124279 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHUNG, EUN JI PAIGE · 2016 to 2018
$747k
NHLBI NIH HHS R00 HL124279NIDDK NIH HHS DP2 DK121328
6 · The paper itself

Abstract

Cardiovascular disease (CVD) including atherosclerosis is the leading cause of death worldwide. As CVDs and atherosclerosis develop, plaques begin to form in the blood vessels and become calcified. Calcification within the vasculature and atherosclerotic plaques have been correlated with rupture and consequently, acute myocardial infarction. However, current imaging methods to identify vascular calcification have limitations in determining plaque composition and structure. Nanoparticles can overcome these limitations due to their versatility and ability to incorporate a wide range of targeting and contrast agents. In this review, we summarize the current understanding of calcification in atherosclerosis, their role in instigating plaque instability, and clinical methodologies to detect and analyze vascular calcification. In addition, we highlight the potential of calcium-targeting ligands and nanoparticles to create novel calcium-detecting tools.

Indexed as

Cardiovascular diseaseDrug deliveryImagingNanoparticlePeptidesVascular calcification

Identifiers

PMID31106257
PMCPMC6516760
OpenAlexW2898478008

What OpenQuestion holds

Textmetadata
LicenceTDM
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.