Argulian E - Search Results

1

Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.

Vaid A, Sawant A, Suarez-Farinas M, Lee J, Kaul S, Kovatch P, Freeman R, Jiang J, Jayaraman P, Fayad Z, Argulian E, Lerakis S, Charney AW, Wang F, Levin M, Glicksberg B, Narula J, Hofer I, Singh K, Nadkarni GN. Vaid A, et al. Among authors: argulian e. Ann Intern Med. 2023 Oct;176(10):1358-1369. doi: 10.7326/M23-0949. Epub 2023 Oct 10. Ann Intern Med. 2023. PMID: 37812781

2

A novel pericardial effusion scoring index to guide decision for drainage.

Halpern DG, Argulian E, Briasoulis A, Chaudhry F, Aziz EF, Herzog E. Halpern DG, et al. Among authors: argulian e. Crit Pathw Cardiol. 2012 Jun;11(2):85-8. doi: 10.1097/HPC.0b013e318254a5ca. Crit Pathw Cardiol. 2012. PMID: 22595820

3

Atrial fibrillation and acute myocardial infarction: antithrombotic therapy and outcomes.

Argulian E. Argulian E. Am J Med. 2013 May;126(5):e19. doi: 10.1016/j.amjmed.2012.09.017. Am J Med. 2013. PMID: 23582943 No abstract available.

4

Age Differences in Treatment and Control of Hypertension in US Physician Offices, 2003-2010: A Serial Cross-sectional Study.

Gu A, Yue Y, Argulian E. Gu A, et al. Among authors: argulian e. Am J Med. 2016 Jan;129(1):50-58.e4. doi: 10.1016/j.amjmed.2015.07.031. Epub 2015 Aug 21. Am J Med. 2016. PMID: 26299315

5

Gender differences in short-term cardiovascular outcomes after percutaneous coronary interventions.

Argulian E, Patel AD, Abramson JL, Kulkarni A, Champney K, Palmer S, Weintraub W, Wenger NK, Vaccarino V. Argulian E, et al. Am J Cardiol. 2006 Jul 1;98(1):48-53. doi: 10.1016/j.amjcard.2006.01.048. Epub 2006 May 4. Am J Cardiol. 2006. PMID: 16784919

6

The Reply.

Argulian E, Conen D, Messerli FH. Argulian E, et al. Am J Med. 2016 May;129(5):e33. doi: 10.1016/j.amjmed.2015.12.023. Am J Med. 2016. PMID: 27126465 No abstract available.

7

Antihypertensive efficacy of angiotensin receptor blockers as monotherapy as evaluated by ambulatory blood pressure monitoring: a meta-analysis.

Makani H, Bangalore S, Supariwala A, Romero J, Argulian E, Messerli FH. Makani H, et al. Among authors: argulian e. Eur Heart J. 2014 Jul;35(26):1732-42. doi: 10.1093/eurheartj/eht333. Epub 2013 Aug 21. Eur Heart J. 2014. PMID: 23966312 Free PMC article. Review.

8

The Effect of Systolic Variation of Mitral Regurgitation on Discordance Between Noninvasive Imaging Modalities.

Uretsky S, Aldaia L, Marcoff L, Koulogiannis K, Hiramatsu S, Argulian E, Rosenthal M, Gillam LD, Wolff SD. Uretsky S, et al. Among authors: argulian e. JACC Cardiovasc Imaging. 2019 Dec;12(12):2431-2442. doi: 10.1016/j.jcmg.2019.02.014. Epub 2019 Apr 17. JACC Cardiovasc Imaging. 2019. PMID: 31005539 Free article.

9

Teasing Apart Heart Failure With Preserved Ejection Fraction Phenotypes With Echocardiographic Imaging: Potential Approach to Research and Clinical Practice.

Argulian E, Chandrashekhar Y, Shah SJ, Huttin O, Pitt B, Zannad F, Bonow RO, Narula J. Argulian E, et al. Circ Res. 2018 Jan 5;122(1):23-25. doi: 10.1161/CIRCRESAHA.117.312180. Circ Res. 2018. PMID: 29301841 Review. No abstract available.

10

Use of Cardiac Magnetic Resonance Imaging in Assessing Mitral Regurgitation: Current Evidence.

Uretsky S, Argulian E, Narula J, Wolff SD. Uretsky S, et al. Among authors: argulian e. J Am Coll Cardiol. 2018 Feb 6;71(5):547-563. doi: 10.1016/j.jacc.2017.12.009. J Am Coll Cardiol. 2018. PMID: 29406861 Free article. Review.

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