Evidence map›Paper›PMID 18629371›Full record

ReviewVascular health and risk management2008

High density lipoprotein cholesterol: an evolving target of therapy in the management of cardiovascular disease.

Navin K Kapur, Dominique Ashen, Roger S Blumenthal

Open access · goldAbstract readReview
In one paragraph

Review in Vascular health and risk management, 2008. 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
2.9field-weighted citation impact, top 9% 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, 65 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. High density lipoprotein: When to rethink too much of a good thing.American journal of preventive cardiology · 2023
    Article
  5. Article
  6. Antidyslipidemic Potential of Water-Soluble Polysaccharides ofEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. High Density Lipoprotein and it's Dysfunction.The open biochemistry journal · 2012
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

3 authors at 1 institution in 1 country.

Navin K KapurDivision of Cardiology, Johns Hopkins University, School of Medicine, Baltimore, MD, USA. nkapur@tufts-NEMC.org
Dominique Ashen
Roger S Blumenthal
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the pioneering work of John Gofman in the 1950s, our understanding of high density lipoprotein cholesterol (HDL-C) and its relationship to coronary heart disease (CHD) has grown substantially. Numerous clinical trials since the Framingham Study in 1977 have demonstrated an inverse relationship between HDL-C and one's risk of developing CHD. Over the past two decades, preclinical research has gained further insight into the nature of HDL-C metabolism, specifically regarding the ability of HDL-C to promote reverse cholesterol transport (RCT). Recent attempts to harness HDL's ability to enhance RCT have revealed the complexity of HDL-C metabolism. This review provides a detailed update on HDL-C as an evolving therapeutic target in the management of cardiovascular disease.

Indexed as

AnimalsCardiovascular DiseasesCholesterol, HDLClinical Trials as TopicDrug Therapy, CombinationHumansHypolipidemic AgentsRisk FactorsSmoking CessationCholesterol, HDLHypolipidemic Agentsatherosclerosiscoronaryhigh density lipoprotein cholesterol (HDL-C)reverse cholesterol transport

Identifiers

PMID18629371
PMCPMC2464766
OpenAlexW2044824031

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.