Evidence map›Paper›PMID 27492229›Full record

ReviewCurrent cardiology reviews2017

Imaging Subclinical Atherosclerosis: Where Do We Stand?

Nikolaos Papageorgiou, Alexandros Briasoulis, Emmanuel Androulakis, Dimitris Tousoulis

Abstract readReview
In one paragraph

Review in Current cardiology reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Risk for coronary artery disease among individuals with normal low-density lipoprotein cholesterol (LDL-C) levels.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Subclinical atherosclerosis: how and when to treat it?European heart journal supplements : journal of the European Society of Cardiology · 2020
    Article
  8. Article
  9. 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.

Nikolaos PapageorgiouUniversity College London & Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, EC1A 7BE, UK.
Alexandros Briasoulis
Emmanuel Androulakis
Dimitris Tousoulis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The age of initiation and the rate of progression of atherosclerosis vary markedly among individuals and have been difficult to predict with traditional cardiovascular risk assessment models. Although these risk models provide good discrimination and calibration in certain populations, cardiovascular disease (CVD) risk may not be accurately estimated in low- and intermediate risk individuals. Therefore, imaging techniques such as Ankle-Brachial Index (ABI), Coronary Artery Calcium score (CAC), carotid Intima-Media Thickness (cIMT), flow mediated dilation (FMD) and Positron Emission Tomography (PET) have been developed and used to reclassify these individuals. In the present article we review the role of the most commonly used imaging techniques for CVD risk assessment.

Indexed as

Ankle Brachial IndexAtherosclerosisCardiovascular DiseasesCarotid Intima-Media ThicknessHumansRisk Factors

Identifiers

PMID27492229
PMCPMC5324316

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.