Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Michael Howard Picard, M.D.

Co-Author

This page shows the publications co-authored by Michael Picard and Theofanie Mela.
Connection Strength

0.397
  1. Renal Response in Patients with Chronic Kidney Disease Predicts Outcome Following Cardiac Resynchronization Therapy. Pacing Clin Electrophysiol. 2015 Oct; 38(10):1192-200.
    View in: PubMed
    Score: 0.157
  2. Left ventricular lead electrical delay predicts response to cardiac resynchronization therapy. Heart Rhythm. 2006 Nov; 3(11):1285-92.
    View in: PubMed
    Score: 0.084
  3. Impact of segmental left ventricle lead position on cardiac resynchronization therapy outcomes. Heart Rhythm. 2010 May; 7(5):639-44.
    View in: PubMed
    Score: 0.027
  4. Ventricular arrhythmia following alcohol septal ablation for obstructive hypertrophic cardiomyopathy. Am J Cardiol. 2009 Jul 01; 104(1):128-32.
    View in: PubMed
    Score: 0.025
  5. Echocardiographic measures of acute haemodynamic response after cardiac resynchronization therapy predict long-term clinical outcome. Eur Heart J. 2007 May; 28(9):1143-8.
    View in: PubMed
    Score: 0.022
  6. Left ventricular lead proximity to an akinetic segment and impact on outcome of cardiac resynchronization therapy. J Cardiovasc Electrophysiol. 2006 Jun; 17(6):623-7.
    View in: PubMed
    Score: 0.021
  7. Usefulness of a novel "response score" to predict hemodynamic and clinical outcome from cardiac resynchronization therapy. Am J Cardiol. 2006 Jun 15; 97(12):1732-6.
    View in: PubMed
    Score: 0.021
  8. Acute predictors of subacute complete heart block after alcohol septal ablation for obstructive hypertrophic cardiomyopathy. Am J Cardiol. 2006 Jan 15; 97(2):264-9.
    View in: PubMed
    Score: 0.020
  9. Radiographic left ventricular-right ventricular interlead distance predicts the acute hemodynamic response to cardiac resynchronization therapy. Am J Cardiol. 2005 Sep 01; 96(5):685-90.
    View in: PubMed
    Score: 0.020
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.