Evidence map›Paper›PMID 32952349›Full record

ReviewActa Cardiologica Sinica2020

Appropriate Use of Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) Inhibitors for Atherosclerotic Cardiovascular Disease: Comparison of Recommendations from Different Guidelines or Consensus Around the World.

Jia-Ling Lin, Po-Hsun Huang, Hung-I Yeh, Yi-Heng Li

Open access · greenAbstract readReview
In one paragraph

Review in Acta Cardiologica Sinica, 2020. 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
1.0field-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, 7 citations in OpenAlex.

  1. Observational
  2. Patient preference: messages for the wider adoption of renal denervation in the real world.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    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

4 authors at 3 institutions in 3 countries.

Jia-Ling LinDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan.
Po-Hsun HuangInstitute of Clinical Medicine, National Yang-Ming University.
Hung-I YehDepartments of Internal Medicine and Medical Research, MacKay Memorial Hospital, Taipei.
Yi-Heng LiDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan.
National Cheng Kung University Hospital · TWMackay Medical College · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased low-density lipoprotein cholesterol (LDL-C) is the most crucial risk factor for atherosclerotic cardiovascular disease (ASCVD). Statins are the mainstay therapy, but many patients need to add non-statin treatment to reach the recommended LDL-C goal. Although proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors are the most effective agents in LDL-C reduction, they are much more expensive than other lipid-lowering agents. In January 2020, the Taiwan National Health Insurance (NHI) program started to reimburse PCSK9 inhibitors for select ASCVD patients with certain conditions. Major guidelines or consensus worldwide also provide specific recommendations about how to appropriately use these agents. This review summarizes the Taiwan NHI regulations of using PCSK9 inhibitors and compared them with other guidelines or consensus around the world.

Indexed as

Atherosclerotic cardiovascular diseaseLDL-CPCSK9 inhibitors

Identifiers

PMID32952349
PMCPMC7490615
OpenAlexW3087443098

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.