Evidence map›Paper›PMID 27221501›Full record

ReviewCurrent atherosclerosis reports2016

Monoclonal Antibodies for Lipid Management.

Matthew J Feinstein, Donald M Lloyd-Jones

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Vaccine against arteriosclerosis: an update.Therapeutic advances in vaccines · 2017
    Review
  3. The German Lipoprotein Apheresis Registry (GLAR) - almost 5 years on.Clinical research in cardiology supplements · 2017
    Observational
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Matthew J FeinsteinDivision of Cardiovascular Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Donald M Lloyd-JonesDivision of Cardiovascular Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. dlj@northwestern.edu.
Northwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, biochemical and genetic studies have identified proprotein convertase subtilisin/kexin type 9 (PCSK9) as a major mediator of low-density lipoprotein cholesterol (LDL-c) levels and thereby a potential novel target for reducing risk of coronary heart disease (CHD). These observations led to the development of PCSK9 inhibitors, which lower LDL-c levels more than any other non-invasive lipid-lowering therapy presently available. The PCSK9 inhibitors furthest along in clinical trials are subcutaneously injected monoclonal antibodies. These PCSK9 inhibitors have demonstrated LDL-c-lowering efficacy with acceptable safety in phase III clinical trials and may offer a useful therapy in addition to maximally tolerated HMG-CoA reductase inhibitors (statins) in certain patient groups. Longer-term data are required to ensure sustained efficacy and safety of this new class of medications. This review provides an overview of the biology, genetics, development, and clinical trials of monoclonal antibodies designed to inhibit PCSK9.

Indexed as

AnimalsAntibodies, MonoclonalCholesterolClinical Trials as TopicCoronary DiseaseHumansLipid MetabolismPCSK9 InhibitorsProprotein Convertase 9Antibodies, MonoclonalCholesterolPCSK9 InhibitorsPCSK9 protein, humanProprotein Convertase 9CholesterolCoronary heart diseaseLDL cholesterolPCSK9Statins

Identifiers

PMID27221501
OpenAlexW2396713359

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.