Publications

  1. Moyer AM, Caraballo PJ. The challenges of implementing pharmacogenomic testing in the clinic. Expert Rev Pharmacoecon Outcomes Res. 2017 Dec; 17 (6):567-577 Epub 2017 Oct 03
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  2. Sugrue A, Noseworthy PA, Kremen V, Bos JM, Qiang B, Rohatgi RK, Sapir Y, Attia ZI, Brady P, Caraballo PJ, Asirvatham SJ, Friedman PA, Ackerman MJ. Automated T-wave analysis can differentiate acquired QT prolongation from congenital long QT syndrome. Ann Noninvasive Electrocardiol. 2017 Nov; 22 (6) Epub 2017 Apr 21
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  3. Anderson HN, Bos JM, Haugaa KH, Morlan BW, Tarrell RF, Caraballo PJ, Ackerman MJ. Prevalence and Outcome of High-Risk QT Prolongation Recorded in the Emergency Department from an Institution-Wide QT Alert System. J Emerg Med. 2017 Oct 26 [Epub ahead of print]
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  4. Sharma S, Martijn Bos J, Tarrell RF, Simon GJ, Morlan BW, Ackerman MJ, Caraballo PJ. Providers' Response to Clinical Decision Support for QT Prolonging Drugs. J Med Syst. 2017 Sep 02; 41 (10):161 Epub 2017 Sept 02
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  5. Caraballo PJ, Bielinski SJ, St Sauver JL, Weinshilboum RM. Electronic Medical Record-Integrated Pharmacogenomics and Related Clinical Decision Support Concepts. Clin Pharmacol Ther. 2017 Aug; 102: (2)254-264.
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  6. Moyer AM, Rohrer Vitek CR, Giri J, Caraballo PJ. Challenges in Ordering and Interpreting Pharmacogenomic Tests in Clinical Practice. Am J Med 2017 Jul 27 Epub 2017 July 27
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  7. Olson JE, Rohrer Vitek CR, Bell EJ, McGree ME, Jacobson DJ, St Sauver JL, Caraballo PJ, Griffin JM, Roger VL, Bielinski SJ. Participant-perceived understanding and perspectives on pharmacogenomics: the Mayo Clinic RIGHT protocol (Right Drug, Right Dose, Right Time). Genet Med. 2017 Jul; 19 (7):819-825 Epub 2017 Jan 05
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  8. Caraballo PJ, Hodge LS, Bielinski SJ, Stewart AK, Farrugia G, Schultz CG, Rohrer-Vitek CR, Olson JE, St Sauver JL, Roger VL, Parkulo MA, Kullo IJ, Nicholson WT, Elliott MA, Black JL, Weinshilboum RM. Multidisciplinary model to implement pharmacogenomics at the point of care. Genet Med. 2017 Apr; 19: (4)421-429.
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  9. Bielinski SJ, St Sauver JL, Olson JE, Wieland ML, Vitek CR, Bell EJ, Mc Gree ME, Jacobson DJ, McCormick JB, Takahashi PY, Black JL, Caraballo PJ, Sharp RR, Beebe TJ, Weinshilboum RM, Wang L, Roger VL. Are patients willing to incur out-of-pocket costs for pharmacogenomic testing? Pharmacogenomics J. 2017 Jan; 17 (1):1-3 Epub 2016 Oct 25
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  10. St Sauver JL, Olson JE, Roger VL, Nicholson WT, Black JL 3rd, Takahashi PY, Caraballo PJ, Bell EJ, Jacobson DJ, Larson NB, Bielinski SJ. CYP2D6 phenotypes are associated with adverse outcomes related to opioid medications. Pharmgenomics Pers Med. 2017; 10:217-227.
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  11. St Sauver JL, Bielinski SJ, Olson JE, Bell EJ, Mc Gree ME, Jacobson DJ, McCormick JB, Caraballo PJ, Takahashi PY, Roger VL, Rohrer Vitek CR. Integrating Pharmacogenomics into Clinical Practice: Promise vs Reality. Am J Med. 2016 Oct; 129 (10):1093-1099.e1 Epub 2016 May 05
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  12. Castro MR, Simon G, Cha SS, Yawn BP, Melton LJ 3rd, Caraballo PJ. Statin Use, Diabetes Incidence and Overall Mortality in Normoglycemic and Impaired Fasting Glucose Patients. J Gen Intern Med. 2016 May; 31: (5)502-8.
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  13. Ji Y, Skierka JM, Blommel JH, Moore BE, VanCuyk DL, Bruflat JK, Peterson LM, Veldhuizen TL, Fadra N, Peterson SE, Lagerstedt SA, Train LJ, Baudhuin LM, Klee EW, Ferber MJ, Bielinski SJ, Caraballo PJ, Weinshilboum RM, Black JL 3rd. Preemptive Pharmacogenomic Testing for Precision Medicine: A Comprehensive Analysis of Five Actionable Pharmacogenomic Genes Using Next-Generation DNA Sequencing and a Customized CYP2D6 Genotyping Cascade. J Mol Diagn. 2016 May; 18: (3)438-445.
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  14. Oh W, Kim E, Castro MR, Caraballo PJ, Kumar V, Steinbach MS, Simon GJ. Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data. 2016 Mar 01; 4: (1)25-30.
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  15. Joyce DD, Bos JM, Haugaa KH, Tarrell RF, Morlan BW, Caraballo PJ, Ackerman MJ. Frequency and cause of transient QT prolongation after surgery. Am J Cardiol. 2015 Nov 15; 116: (10)1605-9.
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  16. Anderson HN, Bos JM, Haugaa KH, Morlan BW, Tarrell RF, Caraballo PJ, Ackerman MJ. Phenotype of Children with QT Prolongation Identified Using an Institution-Wide QT Alert System. Pediatr Cardiol. 2015 Oct; 36 (7):1350-6 Epub 2015 Apr 07
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  17. Sorita A, Bos JM, Morlan BW, Tarrell RF, Ackerman MJ, Caraballo PJ. Impact of clinical decision support preventing the use of QT-prolonging medications for patients at risk for torsade de pointes. J Am Med Inform Assoc. 2015 Apr; 22: (e1)e21-7.
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  18. Simon GJ, Caraballo PJ, Therneau TM, Cha SS, Castro MR, Li PW. Extending association rule summarization techniques to assess risk of diabetes mellitus. IEEE Transactions on Knowledge and Data Engineering. 2015; 27(1):130-41.
  19. Cook DA, Enders F, Caraballo PJ, Nishimura RA, Lloyd FJ. An automated clinical alert system for newly-diagnosed atrial fibrillation. PLoS One. 2015; 10: (4)e0122153.
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  20. Caraballo PJ, Parkulo M, Blair D, Elliott M, Schultz C, Sutton J, Rao P, Bruflat J, Bleimeyer R, Crooks J, Gabrielson D, Nicholson W, Rohrer Vitek C, Wix K, Bielinski SJ, Pathak J, Kullo I. Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction. Stud Health Technol Inform. 2015; 216:946.
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  21. Rohrer Vitek CR, Nicholson WT, Schultz C, Caraballo PJ. Evaluation of the use of clinical decision support and online resources for pharmacogenomics education. Pharmacogenomics. 2015; 16: (14)1595-603.
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  22. Haugaa KH, Bos JM, Borkenhagen EJ, Tarrell RF, Morlan BW, Caraballo PJ, Ackerman MJ. Impact of left ventricular hypertrophy on QT prolongation and associated mortality. Heart Rhythm. 2014 Nov; 11: (11)1957-65.
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  23. Caraballo PJ, Naessens JM, Klarich MJ, Leutink DJ, Peterson JA, Wagie AE, Manning DM, Qian Q. Decline in ACEIARB Prescribing as Heart Failure Core Metrics Improve During Computer-Based Clinical Decision Support. Am J Med Qual. 2014 Jul-Aug; 29: (4)300-7.
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  24. Bielinski SJ, Olson JE, Pathak J, Weinshilboum RM, Wang L, Lyke KJ, Ryu E, Targonski PV, Van Norstrand MD, Hathcock MA, Takahashi PY, McCormick JB, Johnson KJ, Maschke KJ, Rohrer Vitek CR, Ellingson MS, Wieben ED, Farrugia G, Morrisette JA, Kruckeberg KJ, Bruflat JK, Peterson LM, Blommel JH, Skierka JM, Ferber MJ, Black JL, Baudhuin LM, Klee EW, Ross JL, Veldhuizen TL, Schultz CG, Caraballo PJ, Freimuth RR, Chute CG, Kullo IJ. Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol. Mayo Clin Proc. 2014 Jan; 89: (1)25-33.
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  25. Bos JM, Caraballo PJ, Ackerman MJ. Computer-based early warning system for potentially life-threatening QT prolongation. Hospital Medicine Clinics. 2014; 3(2):e235-44.
  26. Kim E, Oh W, Pieczkiewicz DS, Castro MR, Caraballo PJ, Simon GJ. Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations. AMIA Annu Symp Proc. 2014; 2014:1815-24.
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  27. Haugaa KH, Bos JM, Tarrell RF, Morlan BW, Caraballo PJ, Ackerman MJ. Institution-wide QT alert system identifies patients with a high risk of mortality. Mayo Clin Proc. 2013 Apr; 88(4):315-25.
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  28. Caraballo PJ, Castro MR, Cha SS, Li PW, Simon G. Predicting Risk of Type 2 Diabetes Mellitus: Association Rule Mining vs. Traditional Models Journal of Diabetes. April 2013; 5(Supplement 1):69.
  29. Simon GJ, Schrom J, Castro MR, Li PW, Caraballo PJ. Survival association rule mining towards type 2 diabetes risk assessment. AMIA Annu Symp Proc. 2013; 2013:1293-302.
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  30. Schrom JR, Caraballo PJ, Castro MR, Simon GJ. Quantifying the effect of statin use in pre-diabetic phenotypes discovered through association rule mining. AMIA Annu Symp Proc. 2013; 2013:1249-57.
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  31. Wei WQ, Leibson CL, Ransom JE, Kho AN, Caraballo PJ, Chai HS, Yawn BP, Pacheco JA, Chute CG. Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus. J Am Med Inform Assoc. 2012 Mar-Apr; 19(2):219-24. Epub 2012 Jan 16.
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  32. Castro MR, Espiritu RP, Bahn RS, Henry MR, Gharib H, Caraballo PJ, Morris JC. Predictors of malignancy in patients with cytologically suspicious thyroid nodules. Thyroid. 2011 Nov; 21: (11)1191-8.
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  33. Caraballo PJ, North F, Peters S, Puffer M, Nyman M, Epps S, Peterson J, Bleimeyer R, Elkin P. Use of decision support to prevent errors when documenting height and weight in the hospital electronic medical record. AMIA Annu Symp Proc. 2008 Nov 06; 890.
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  34. North F, Varkey P, Caraballo P, Vsetecka D, Bartel G. Use of a quality improvement tool, the prioritization matrix, to identify and prioritize triage software algorithm enhancement. AMIA Annu Symp Proc. 2007 Oct 11; 1062.
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  35. ALLHAT Collaborative Research Group. Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzme inhibitor or calcium channel blocker vs diuretic: The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). JAMA. 2002 Dec; 288(23):2981-97.
  36. ALLHAT Collaborative Research Group. Major outcomes in moderately hypercholesterolemic, hypertensive patients randomized to pravastatin vs usual care: The Antihypertensive and Lip-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT-LLT). JAMA. 2002 Dec; 288(23):2998-3007.
  37. Castro MR, Caraballo PJ, Morris JC. Effectiveness of thyroid hormone suppressive therapy in benign solitary thyroid nodules: a meta-analysis. J Clin Endocrinol Metab. 2002 Sep; 87(9):4154-9.
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  38. Caraballo PJ, Heit JA, Atkinson EJ, Silverstein MD, O'Fallon WM, Castro MR, Melton LJ 3rd. Long-term use of oral anticoagulants and the risk of fracture. Arch Intern Med. 1999 Aug 9-23; 159(15):1750-6.
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  39. Caraballo PJ, Gabriel SE, Castro MR, Atkinson EJ, Melton LJ 3rd. Changes in bone density after exposure to oral anticoagulants: a meta-analysis. Osteoporos Int. 1999; 9(5):441-8.
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