Evidence map›Paper›PMID 26809711›Full record

ReviewCardiovascular drugs and therapy2016

Atherosclerosis and Nanotechnology: Diagnostic and Therapeutic Applications.

Jeremy D Kratz, Ashish Chaddha, Somnath Bhattacharjee, Sascha N Goonewardena

Abstract readReview
In one paragraph

Review in Cardiovascular drugs and therapy, 2016. 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
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Neurotheranostics as personalized medicines.Advanced drug delivery reviews · 2019
    Review
  6. Towards clinically translatableNature reviews. Materials · 2017
    Article
  7. 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

4 authors at 2 institutions in 1 country.

Jeremy D KratzMichigan Nanotechnology Institute for Medicine and Biological Sciences, Ann Arbor, MI, 48109, USA.
Ashish ChaddhaDepartment of Internal Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA.
Somnath BhattacharjeeMichigan Nanotechnology Institute for Medicine and Biological Sciences, Ann Arbor, MI, 48109, USA.
Sascha N GoonewardenaMichigan Nanotechnology Institute for Medicine and Biological Sciences, Ann Arbor, MI, 48109, USA. sngoonew@med.umich.edu.
University of Michigan–Ann Arbor · USUniversity of Wisconsin–Madison · US

Funding

Macrophage-specific nanoparticles to understand atherosclerosisK08HL123621 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GOONEWARDENA, SASCHA NILU · 2015 to 2019
$783k
NHLBI NIH HHS K08 HL123621NHLBI NIH HHS K08HL123621
6 · The paper itself

Abstract

Over the past several decades, tremendous advances have been made in the understanding, diagnosis, and treatment of coronary artery disease (CAD). However, with shifting demographics and evolving risk factors we now face new challenges that must be met in order to further advance are management of patients with CAD. In parallel with advances in our mechanistic appreciation of CAD and atherosclerosis, nanotechnology approaches have greatly expanded, offering the potential for significant improvements in our diagnostic and therapeutic management of CAD. To realize this potential we must go beyond to recognize new frontiers including knowledge gaps between understanding atherosclerosis to the translation of targeted molecular tools. This review highlights nanotechnology applications for imaging and therapeutic advancements in CAD.

Indexed as

AnimalsAtherosclerosisCoronary Artery DiseaseHumansNanotechnologyRisk FactorsAtherosclerosisEndothelial cellInflammationMacrophageMolecular imagingNanotechnology

Identifiers

PMID26809711
PMCPMC4791194
OpenAlexW2259526191

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.