Evidence map›Paper›PMID 22258137›Full record

ReviewHerz2012

[HDL level or HDL function as the primary target in preventive cardiology].

J R Schaefer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Herz, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

J R SchaeferDr.-Pohl-Stiftungsprofessur für Präventive Kardiologie, Klinik für Innere Medizin - Kardiologie, UKGM Standort Marburg und Philipps-Universität Marburg, Baldingerstr., 35033, Marburg, Deutschland. juergen.schaefer@uni-marburg.de
Philipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk for myocardial infarction can be reduced by almost 50% solely by lowering LDL cholesterol. Despite success reducing LDL and cholesterol, atherosclerosis and myocardial infarction remain significant challenges. However, mechanisms of the reverse cholesterol transport system might be used more effectively in the foreseeable future. Although the benefit of high HDL cholesterol appears to be obvious, most clinical trials aimed at increasing HDL cholesterol failed to generate convincing results. Therefore, the question arises as to whether indeed only HDL level or perhaps rather more HDL function is of considerable therapeutic relevance. If function is the crucial issue drugs such as CETP (cholesteryl ester transfer protein) activators or SR-B1 (scavenger receptor type B-1) upregulators could be beneficial. These types of drugs could improve HDL metabolism and might have beneficial effects despite the fact that they lower HDL levels. Ongoing studies on next generation CETP inhibitors and nicotinic acid will clarify this question and might help in our struggle against atherosclerosis.

Indexed as

Anticholesteremic AgentsAtherosclerosisAtorvastatinCholesterol Ester Transfer ProteinsCholesterol, HDLCholesterol, LDLClinical Trials as TopicDrug Therapy, CombinationEarly Termination of Clinical TrialsFemaleFluorobenzenesHeptanoic AcidsHumansMaleMembrane Transport ProteinsMyocardial InfarctionAnticholesteremic AgentsAtorvastatinCETP protein, humanCholesterol Ester Transfer ProteinsCholesterol, HDLCholesterol, LDLFluorobenzenesHeptanoic AcidsMembrane Transport ProteinsNiacinPyrimidinesPyrrolesQuinolinesRosuvastatin CalciumSCARB1 protein, humanScavenger Receptors, Class BSulfonamidestorcetrapib

Identifiers

PMID22258137
OpenAlexW283191773

What OpenQuestion holds

Texttitle and abstract
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.