Evidence map›Paper›PMID 28804537›Full record

ReviewAmerican journal of translational research2017

An integrated approach to coronary heart disease diagnosis and clinical management.

Teresa Infante, Ernesto Forte, Concetta Schiano, Carlo Cavaliere, Carlo Tedeschi, Andrea Soricelli, Marco Salvatore, Claudio Napoli

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Usefulness of the AHEAD score for prediction of all-cause death in patients with acute and chronic coronary syndromes.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Epigenetics · 2022
    Article
  10. Article
  11. Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque Characterization.International journal of environmental research and public health · 2021
    Review
  12. Article
  13. Article
  14. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Teresa InfanteIRCCS SDNNaples, Italy.
Ernesto ForteIRCCS SDNNaples, Italy.
Concetta SchianoIRCCS SDNNaples, Italy.
Carlo CavaliereIRCCS SDNNaples, Italy.
Carlo TedeschiDepartment of Cardiology, San Giovanni Bosco HospitalASL Napoli 1, Naples, Italy.
Andrea SoricelliIRCCS SDNNaples, Italy.
Marco SalvatoreIRCCS SDNNaples, Italy.
Claudio NapoliIRCCS SDNNaples, Italy.
SDN Istituto di Ricerca Diagnostica e Nucleare · ITOspedale San Giovanni Bosco · ITParthenope University of Naples · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The major issue in coronary heart disease (CHD) diagnosis and management is that symptoms onset in an advanced state of disease. Despite the availability of several clinical risk scores, the prediction of cardiovascular events is lacking, and many patients at risk are not well stratified according to the canonical risk factors alone. Therefore, adequate risk assessment remains the most challenging issue. Recently, the integration of imaging data with biochemical markers in a radiogenomic framework has been proposed in many fields of medicine as well as in cardiology. Multimodal imaging and advanced processing techniques can provide both direct (e.g., remodeling index, calcium score, total plaque volume, plaque burden) and indirect (e.g., myocardial perfusion index, coronary flow reserve) imaging features of CHD. Furthermore, the identification of novel non-invasive biochemical markers, mainly focused on plasma and/or serum samples, has increased the specificity of findings, reflecting several pathophysiological pathways of atherosclerosis, the principal actor in CHD. In this context, a multifaced approach, derived from the strengths of all these modalities, appears promising for finer risk stratification and treatment strategies, facilitating the decision-making and clinical management of patients. This review underlines the role of different imaging modalities in the quantification of coronary atherosclerosis and describes novel blood-based markers that could improve diagnosis and have a better predictive value in CHD.

Indexed as

Atherosclerosisbiomarkerscoronary heart diseaseimaging

Identifiers

PMID28804537
PMCPMC5553869
OpenAlexW2803947579

What OpenQuestion holds

Textmetadata
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.