Evidence map›Paper›PMID 30271086›Full record

ReviewActa Cardiologica Sinica2018

Lipid Lowering Therapy for Acute Coronary Syndrome and Coronary Artery Disease: Highlights of the 2017 Taiwan Lipid Guidelines for High Risk Patients.

Yi-Heng Li, Ting-Hsing Chao, Ping-Yen Liu, Kwo-Chang Ueng, Hung-I Yeh

Abstract readReview
In one paragraph

Review in Acta Cardiologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. A Bridge Still Too Far.Acta Cardiologica Sinica · 2019
    Article
  9. 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

5 authors.

Yi-Heng LiDepartment of Internal Medicine, National Cheng Kung University Hospital and College of Medicine, National Cheng Kung University.
Ting-Hsing ChaoDepartment of Internal Medicine, National Cheng Kung University Hospital and College of Medicine, National Cheng Kung University.
Ping-Yen LiuDepartment of Internal Medicine, National Cheng Kung University Hospital and College of Medicine, National Cheng Kung University.
Kwo-Chang UengDepartment of Internal Medicine, Chung Shan Medical University Hospital.
Hung-I YehDepartments of Internal Medicine and Medical Research, Mackay Memorial Hospital, Taipei.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensive lipid lowering therapy is important in patients with acute coronary syndrome (ACS) and stable coronary artery disease (CAD). The 2017 Taiwan Lipid Guidelines for High Risk Patients was recently published. The guideline suggests that low-density lipoprotein cholesterol (LDL-C) should be the primary target, and that the treatment goal of LDL-C is < 70 mg/dL for patients with ACS or stable CAD. A lower target of < 55 mg/dL is appropriate for patients with ACS and diabetes mellitus. Non-high-density lipoprotein cholesterol (non-HDL-C) < 100 mg/dL can be considered as the secondary target after achieving the LDL-C goal for patients with a triglyceride level > 200 mg/dL. Statins are usually the first-line therapy. Moderate or high intensity statins are preferred, and up-titration to the highest recommended and tolerable dose to reach the target is necessary. Combination therapy with statins and other lipid-lowering drugs can also be considered. We hope the clinical outcomes of patients with ACS or CAD can be improved in Taiwan through the implementation of the guideline recommendations.

Indexed as

Coronary artery diseaseGuidelineStatin

Identifiers

PMID30271086
PMCPMC6160516

What OpenQuestion holds

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Registered trials

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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.