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Championing Effectiveness Before Cost-Effectiveness.
Dhruva SS, Krumholz HM. Dhruva SS, et al. JACC Heart Fail. 2016 May;4(5):376-9. doi: 10.1016/j.jchf.2016.02.001. Epub 2016 Mar 30. JACC Heart Fail. 2016. PMID: 27039130 Free PMC article. No abstract available.
The Core Value of Cost-Effectiveness Analyses.
Dhruva SS, Krumholz HM. Dhruva SS, et al. J Am Coll Cardiol. 2016 Jan 5;67(1):39-41. doi: 10.1016/j.jacc.2015.11.013. J Am Coll Cardiol. 2016. PMID: 26764064 Free PMC article. No abstract available.
Merits of Data Sharing: The Digitalis Investigation Group Trial.
Angraal S, Ross JS, Dhruva SS, Desai NR, Welsh JW, Krumholz HM. Angraal S, et al. Among authors: dhruva ss. J Am Coll Cardiol. 2017 Oct 3;70(14):1825-1827. doi: 10.1016/j.jacc.2017.07.786. J Am Coll Cardiol. 2017. PMID: 28958337 Free article. No abstract available.
Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results.
Huang C, Dhruva SS, Coppi AC, Warner F, Li SX, Lin H, Nasir K, Krumholz HM. Huang C, et al. Among authors: dhruva ss. J Am Heart Assoc. 2017 Nov 13;6(11):e007509. doi: 10.1161/JAHA.117.007509. J Am Heart Assoc. 2017. PMID: 29133522 Free PMC article. Clinical Trial.
Fulfilling the Promise of Unique Device Identifiers.
Dhruva SS, Ross JS, Schulz WL, Krumholz HM. Dhruva SS, et al. Ann Intern Med. 2018 Aug 7;169(3):183-185. doi: 10.7326/M18-0526. Epub 2018 Jun 5. Ann Intern Med. 2018. PMID: 29868760 No abstract available.
Quantifying the utilization of medical devices necessary to detect postmarket safety differences: A case study of implantable cardioverter defibrillators.
Bates J, Parzynski CS, Dhruva SS, Coppi A, Kuntz R, Li SX, Marinac-Dabic D, Masoudi FA, Shaw RE, Warner F, Krumholz HM, Ross JS. Bates J, et al. Among authors: dhruva ss. Pharmacoepidemiol Drug Saf. 2018 Aug;27(8):848-856. doi: 10.1002/pds.4565. Epub 2018 Jun 12. Pharmacoepidemiol Drug Saf. 2018. PMID: 29896873 Free PMC article.
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.
Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Huang C, et al. Among authors: dhruva ss. PLoS Med. 2018 Nov 27;15(11):e1002703. doi: 10.1371/journal.pmed.1002703. eCollection 2018 Nov. PLoS Med. 2018. PMID: 30481186 Free PMC article.
218 results