Evidence map›Paper›PMID 21465111›Full record

ReviewCurrent atherosclerosis reports2011

Utility of atherosclerosis imaging in the evaluation of high-density lipoprotein-raising therapies.

Raphaël Duivenvoorden, Zahi A Fayad

Open access · hybridAbstract readReview
In one paragraph

Review in Current atherosclerosis reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 2 institutions in 2 countries.

Raphaël DuivenvoordenAcademic Medical Center, Amsterdam, The Netherlands.
Zahi A Fayad
Academic Medical Center · NLIcahn School of Medicine at Mount Sinai · US

Funding

MR/PET Imaging of coronary atherosclerosisR01HL071021 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FAYAD, ZAHI A. · 2002 to 2019
$7.8M
Theranostic HDL nanoparticles for inflammatory macrophages in atherosclerosisR01EB009638 · NIBIB · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FAYAD, ZAHI A. · 2009 to 2016
$4.6M
NHLBI NIH HHS R01 HL071021NIBIB NIH HHS R01 EB009638
6 · The paper itself

Abstract

Decreased level of high density-lipoprotein cholesterol (HDL-C) is a rigorous predictor for future cardiovascular events. Much effort is being made to develop HDL-C-raising pharmacotherapies in the attempt to avert the pandemic of atherosclerotic disease. Important properties by which HDL-C-raising compounds are effective involve improvement of cholesterol uptake from macrophages in plaque for transport back to the liver, improvement of endothelial function, and anti-inflammatory effects. Vascular imaging can aid in the determination which HDL-C-raising compounds are effective. Ultrasound and MRI have proved suitable for assessment of structural changes of the vessel wall. Ultrasound can also be used or assessment of endothelial function. 18F-fluordeoxyglucose positron emission tomography has opened up the possibility to assess vessel wall inflammation. In this article we discuss these various imaging techniques and how they can assess efficacy as well as provide pathophysiologic information on the mechanism of action of novel HDL-C-raising drugs.

Indexed as

Hypolipidemic AgentsCarotid ArteriesCholesterol, HDLDrug MonitoringEndothelium, VascularHumansLipid MetabolismMagnetic Resonance ImagingMicroscopy, AcousticPharmacology, ClinicalPlaque, AtheroscleroticPositron-Emission TomographyRandomized Controlled Trials as TopicTunica IntimaVasodilationCholesterol, HDLHypolipidemic Agents

Identifiers

PMID21465111
PMCPMC3085734
OpenAlexW2104411595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.