Evidence map›Paper›PMID 27798490›Full record

ReviewCurrent opinion in lipidology2016

The future of imaging in cardiovascular disease intervention trials: 2017 and beyond.

Mhairi K Doris, Marc R Dweck, Zahi A Fayad

Abstract readReview
In one paragraph

Review in Current opinion in lipidology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. MR/PET Imaging of the Cardiovascular System.JACC. Cardiovascular imaging · 2017
    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

3 authors.

Mhairi K DorisaCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK bTranslational and Molecular Imaging Institute cZena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Marc R Dweck
Zahi A Fayad

Funding

MR/PET Imaging of coronary atherosclerosisR01HL071021 · NHLBI · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI FAYAD, ZAHI A. · 2002 to 2019
$7.8M
British Heart Foundation FS/13/77/30488British Heart Foundation FS/14/78/31020NHLBI NIH HHS R01 HL071021
6 · The paper itself

Abstract

purpose of reviewAs our understanding of cardiovascular disease has advanced over the past decades, multiple novel treatment strategies have been developed with the hope of reducing the global morbidity and mortality associated with this condition. Large-scale trials to test such novel therapies using clinical end points are expensive, leading to interest in phase II clinical trials with imaging-derived outcome measures. RECENT

findingsNoninvasive imaging techniques that assess changes in both atherosclerotic disease burden and plaque composition in response to therapy are well established. With the advent of molecular techniques and hybrid imaging, we now have the ability to assess disease activity alongside these standard anatomic assessments. This multifaceted approach has the potential to provide a more comprehensive assessment of the actions and efficacy of novel therapies in the carotids, aorta and coronary arteries. SUMMARY: This review will examine how advanced noninvasive imaging strategies have been used to investigate drug efficacy in intervention trials to date, and crucially how these approaches are set to evolve and play a central role in developing the next generation of atherosclerotic medication.

Indexed as

Cardiovascular DiseasesClinical Trials as TopicDiagnostic ImagingHumansMultimodal Imaging

Identifiers

PMID27798490
PMCPMC5675037

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.