Evidence map›Paper›PMID 39355403›Full record

ReviewJournal of lipid and atherosclerosis2024

Emerging Circulating Biomarkers for Enhanced Cardiovascular Risk Prediction.

Da Young Lee

Abstract readReview
In one paragraph

Review in Journal of lipid and atherosclerosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

1 author.

Da Young LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8211-2393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) continues to be the primary cause of mortality worldwide, underscoring the importance of identifying additional cardiovascular risk factors. The consensus is that lipid levels alone do not fully reflect the status of atherosclerosis, thus necessitating extensive research on cardiovascular biomarkers. This review encompasses a wide spectrum of methodologies for identifying novel risk factors or biomarkers for CVD. Inflammation, oxidative stress, plaque instability, cardiac remodeling, and fibrosis play pivotal roles in CVD pathogenesis. We introduce and discuss several promising biomarkers-namely, osteocalcin, angiogenin, lipoprotein-associated phospholipase A2, growth differentiation factor 15, galectin-3, growth stimulation expressed gene 2, and microRNAs, all of which have potential implications in the assessment and management of cardiovascular risk.

Indexed as

BiomarkerCardiovascular diseaseCardiovascular risk enhancers

Identifiers

PMID39355403
PMCPMC11439747

What Socratic 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 Socratic graph.