Evidence map›Paper›PMID 31049147›Full record

ReviewMethodist DeBakey cardiovascular journal

Poststatin Lipid Therapeutics: A Review.

Xiaoming Jia, Patrick Lorenz, Christie M Ballantyne

Open access · diamondAbstract readReview
In one paragraph

Review in Methodist DeBakey cardiovascular journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Antibody-Based Therapeutics for Atherosclerosis and Cardiovascular Diseases.International journal of molecular sciences · 2021
    Review
  6. Review
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.

Xiaoming JiaBAYLOR COLLEGE OF MEDICINE, HOUSTON, TEXAS.
Patrick LorenzBAYLOR COLLEGE OF MEDICINE, HOUSTON, TEXAS.
Christie M BallantyneBAYLOR COLLEGE OF MEDICINE, HOUSTON, TEXAS.
Baylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-density lipoprotein cholesterol (LDL-C) is a well-established risk factor for atherosclerotic cardiovascular disease (ASCVD). Statins remain the first-line therapy for patients with elevated LDL-C and increased risk. However, many at-risk patients do not achieve adequate LDL-C lowering with statin monotherapy or do not tolerate statins because of side effects. Recent cardiovascular outcome trials involving ezetimibe and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have demonstrated efficacy of nonstatin therapies in further reducing LDL-C levels and ASCVD risk. This review highlights the available nonstatin therapeutic options and explores important novel therapeutic approaches currently under development.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiomarkersCardiovascular DiseasesCholesterol, LDLDicarboxylic AcidsDrug Therapy, CombinationDyslipidemiasEzetimibeFatty AcidsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsPCSK9 InhibitorsProprotein Convertase 9Risk Factors8-hydroxy-2,2,14,14-tetramethylpentadecanedioic acidalirocumabALN-PCSAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiomarkersCholesterol, LDLDicarboxylic AcidsevolocumabEzetimibeFatty AcidsHydroxymethylglutaryl-CoA Reductase InhibitorsPCSK9 InhibitorsPCSK9 protein, humanProprotein Convertase 9RNA, Small InterferingSerine Proteinase InhibitorsatherosclerosisezetimibeLDL cholesterolnonstatin therapyPCSK9

Identifiers

PMID31049147
PMCPMC6489602
OpenAlexW2971757960

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.