Risk prediction in stable angina pectoris-Reference-Cited by-同舟云学术

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Risk prediction in stable angina pectoris

Published:2012-12-28 Issue:2 Volume:43 Page:141-151
ISSN:0014-2972
Container-title:European Journal of Clinical Investigation
language:en
Short-container-title:Eur J Clin Invest

Author:

Kahan Thomas,Forslund Lennart¹,Held Claes²,Björkander Inge,Billing Ewa³,Eriksson Sven V.,Näsman Per⁴,Rehnqvist Nina⁵,Hjemdahl Paul⁶

Affiliation:

1. Medical Products Agency; Uppsala; Sweden

2. Uppsala Clinical Research Centre; Department of Medical Sciences; Uppsala University; Uppsala; Sweden

3. Department of Medical Sciences; Uppsala University; Uppsala; Sweden

4. Centre for Safety Research; The Royal Institute of Technology KTH; Stockholm; Sweden

5. The Swedish Council on Technology Assessment in Health Care (SBU); Stockholm; Sweden

6. Department of Medicine Solna; Clinical Pharmacology Unit; Karolinska University Hospital (Solna); Stockholm; Sweden

Publisher

Wiley

Subject

Clinical Biochemistry,Biochemistry,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/eci.12025/fullpdf

Reference41 articles.

1. Task Force on the Management of Stable Angina Pectoris of the European Society of Cardiology; ESC Committee for Practice Guidelines (CPG). Guidelines on the management of stable angina pectoris: executive summary: The Task Force on the Management of Stable Angina Pectoris of the European Society of Cardiology;Fox;Eur Heart J,2006

2. Favourable long term prognosis in stable angina pectoris: an extended follow-up of the Angina Prognosis Study In Stockholm (APSIS);Hjemdahl;Heart,2006

3. Effects of metoprolol vs verapamil in patients with stable angina pectoris. The Angina Prognosis Study in Stockholm (APSIS);Rehnqvist;Eur Heart J,1996

4. The impact of diabetes and elevated fasting blood glucose on cardiovascular prognosis in patients with stable angina pectoris;Held;Diabete Med,2005

5. Prognostic implications of renal dysfunction in patients with stable angina pectoris;Almquist;J Intern Med,2006

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1. Developing a Machine Learning Model to Predict 180-day Readmission for Elderly Patients with Angina;Reviews in Cardiovascular Medicine;2024-05-31

2. FIB-4 Index and Neutrophil-to-Lymphocyte-Ratio as Death Predictor in Coronary Artery Disease Patients;Biomedicines;2022-12-28

3. Effect of B vitamins supplementation on cardio-metabolic factors in patients with stable coronary artery disease: A randomized double-blind trial;ASIA PAC J CLIN NUTR;2020

4. Simple risk models to predict cardiovascular death in patients with stable coronary artery disease;European Heart Journal - Quality of Care and Clinical Outcomes;2020-01-10

5. Pre-diabetes, diabetes and predictors of incident angina among older women and men in the Cardiovascular Health Study;Diabetes and Vascular Disease Research;2019-11-28

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