- Paradigm Shift for the Treatment of Type 2 Diabetes Mellitus in Patients with Cardiovascular Disease: Cardiologist's Perspective
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- KMID: 2536968
- Cardiovasc Prev Pharmacother.
- 2020 Jan;2(1):11-17.
- doi: 10.36011/cpp.2020.2.e4
Type 2 diabetes mellitus (T2DM) is a complex disorder and is associated with an increased risk for developing atherosclerotic cardiovascular disease. Control of major risk factors of T2DM can reduce... -
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- Erratum: Aspirin Has a Neutral Effect in Preventing Future Cardiovascular Events in Vasospastic Angina
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Lee KY, Shin DI, Her SH, Han SH, Ahn Y, Kim DS, Choi DJ, Kwon HM, Gwon HC, Rha SW, Jo SH, Lim SC, Myong JP, Baek SH
- KMID: 2536971
- Cardiovasc Prev Pharmacother.
- 2020 Jan;2(1):31.
- doi: 10.36011/cpp.2020.2.e1
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- Basic Concepts of a Mendelian Randomization Approach
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Go TH, Kang DR
- KMID: 2536970
- Cardiovasc Prev Pharmacother.
- 2020 Jan;2(1):24-30.
- doi: 10.36011/cpp.2020.2.e3
The Mendelian Randomization (MR) approach is a method that enables causal inference in observational studies. There are 3 assumptions that must be satisfied to obtain suitable results: 1) The genetic... -
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- Dose Selection of Non-Vitamin K Antagonist Oral Anticoagulants in Korean Patients with Non-Valvular Atrial Fibrillation
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Lee SR, On YK
- KMID: 2536967
- Cardiovasc Prev Pharmacother.
- 2020 Jan;2(1):1-10.
- doi: 10.36011/cpp.2020.2.e5
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. In the Asian population, patients with AF have been shown to have increased risks of ischemic stroke and all-cause death... -
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- Improving Causal Inference in Observational Studies: Interrupted Time Series Design
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Kim KN
- KMID: 2536969
- Cardiovasc Prev Pharmacother.
- 2020 Jan;2(1):18-23.
- doi: 10.36011/cpp.2020.2.e2
Interrupted time series analysis is often used to evaluate the effects of healthcare policies and interventional projects using observational data. Interrupted time series analysis is one of the epidemiological methods,... -
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