Evidence map›Paper›PMID 32742310›Full record

ReviewEuropean cardiology2020

Assessing Atherosclerotic Cardiovascular Disease Risk with Advanced Lipid Testing: State of the Science.

Charles Amir German, Michael David Shapiro

Open access · goldAbstract readReview
In one paragraph

Review in European cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. 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
  2. Editorial: Proteomics in atherosclerosis.Frontiers in cardiovascular medicine · 2026
    Article
  3. Review
  4. Observational
  5. Review
  6. Review
  7. Article
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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 1 institution in 1 country.

Charles Amir GermanDivision of Cardiovascular Disease, Center for Preventive Cardiology, Wake Forest Baptist Medical Center Winston-Salem, NC, US.
Michael David ShapiroDivision of Cardiovascular Disease, Center for Preventive Cardiology, Wake Forest Baptist Medical Center Winston-Salem, NC, US.
Atrium Health Wake Forest Baptist · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease is the number one cause of death and disability worldwide. While substantial gains have been made in reducing cardiovascular mortality, future projections suggest that we have reached a nadir and may be at an inflection point, given the rising tide of obesity and diabetes. Evaluation and management of plasma lipids is central to the prevention of atherosclerotic cardiovascular disease. Although the standard lipid panel represents a well-established platform to assess risk, this test alone can be insufficient and/or misleading. Advances in our understanding of atherosclerosis have led to the development of lipid-based biomarkers that help to discriminate the risk of cardiovascular disease when it is unclear. While these biomarkers provide novel information, their implementation into clinical medicine remains difficult given discrepancies in the literature, lack of assay standardisation, poor accessibility and high cost. However, additional measures of atherogenic lipoproteins or their surrogates may offer insight beyond the standard lipid panel, providing a more precise assessment of risk and more accurate assessment of lipid-lowering therapy.

Indexed as

cardiovascular diseasecholesterolLipidslipoproteinprevention

Identifiers

PMID32742310
PMCPMC7387892
OpenAlexW3042510312

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.