ReviewHerz2016
[Impact of lipid metabolism parameters on the development and progression of coronary artery disease : An update].
Review in Herz, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Qualitative analysis of chemical components in Berberis kaschgarica Rupr. and study on the in vitro anti-inflammatory effects of its alkaloids.Scientific reports · 2026Article
- Serum LRG1 as a non-invasive biomarker for identifying complex coronary anatomy in pre-angiography risk stratification.Frontiers in cardiovascular medicine · 2026Article
- Case Report: Neurological adverse events in subject with myasthenia gravis after PCSK9 inhibitor administration.Frontiers in cardiovascular medicine · 2024Article
- [Serum annexin A2 level is significantly elevated in patients with coronary heart disease].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- Pragmatic Analysis of Dyslipidemia Involvement in Coronary Artery Disease: A Narrative Review.Current cardiology reviews · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disorders of lipid metabolism play a major role in the development and progression of coronary artery disease. Dyslipidemia therefore plays a central role in therapeutic approaches for prevention and treatment of cardiovascular events associated with coronary artery disease. Epidemiological studies have shown an association between various lipid metabolism parameters, the risk of developing coronary artery disease and progression of a pre-existing disease. In particular, increased levels of low-density lipoprotein cholesterol (LDL-C), reduced levels of HDL cholesterol (HDL-C), as well as high levels of triglycerides and increased lipoprotein(a) [Lp(a)] levels can be taken into account when assessing the risk stratification of patients for primary prevention of coronary artery disease. Lifestyle and dietary changes, intensified statin therapy and possibly the addition of ezetimibe remain the major interventions in both primary and secondary prevention of coronary artery disease, as they improve the prognosis particularly by lowering levels of LDL-C. Recently, genetic studies have contributed to extending our understanding of the relationship between lipid metabolism and coronary artery disease. A causal role for progression of coronary artery disease could be demonstrated for LDL-C, Lpa and triglyceride-rich lipoproteins (TRL), which could not be demonstrated for HDL-C in various studies. Furthermore, the effect of reduction of LDL-C by proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition and by the cholesteryl ester transfer protein (CETP) inhibitor anacetrapib on cardiovascular events is currently being investigated in large clinical outcome study programs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.