1,721,029 research outputs found
Sleep apnea and cardiac arrhythmia: a timely wake-up call!
No full textRajeev K. Pathak, Rajiv Mahajan, Dennis H. Lau, Prashanthan Sander
Prevention and regressive effect of weight-loss and risk factor modification on atrial fibrillation: the reverse-AF study - authors' reply
No full textAbstract not availableMelissa E. Middeldorp, Rajeev K. Pathak, Dennis H. Lau and Prashanthan Sander
Implications of the LEGACY trial on US Atrial Fibrillation Patients: An NCDR Research to Practice (R2P) Project
No full textAbstract not availableAnil K. Gehi, Emily O'Brien, Rajeev K. Pathak, Prashanthan Sanders, Kevin F. Kennedy, Salim S. Virani, Frederick A. Masoudi and Thomas M. Maddo
Catheter ablation of atrial fibrillation in patients with concomitant left ventricular impairment: a systematic review of efficacy and effect on ejection fraction
No full textAbstract not availableAnand N. Ganesan, Savvy Nandal, Jakob Lüker, Rajeev K. Pathak, Rajiv Mahajan, Darragh Twomey, Dennis H. Lau, Prashanthan Sander
Posterior Wall Isolation Improves Outcomes for Persistent AF With Rapid Posterior Wall Activity: A CAPLA Substudy
No full textAbstract not availableLouise Segan, David Chieng, Sandeep Prabhu, Andrew Hunt, Troy Watts, Brian Klys, Aleksandr Voskoboinik, Hariharan Sugumar, Liang-Han Ling, Geoff Lee, Joseph Morton, Rajeev K. Pathak, Deep Chandh Raja, Laurence Sterns, Matthew Ginks, Prashanthan Sanders, Jonathan M. Kalman, Peter M. Kistle
Obesity and the risk of incident, post-operative, and post-ablation atrial fibrillation: a meta-analysis of 626,603 individuals in 51 studies
No full textAbstract not availableChristopher X. Wong, Thomas Sullivan, Michelle T. Sun, Rajiv Mahajan, Rajeev K. Pathak, Melissa Middeldorp, Darragh Twomey, Anand N. Ganesan, Geetanjali Rangnekar, Kurt C. Roberts-Thomson, Dennis H. Lau, Prashanthan Sander
Underuse and overuse of anticoagulation for atrial fibrillation: a study in Indigenous and non-Indigenous Australians
No full textAbstract not availableChristopher X. Wong, Sarah W. Lee, Siang Wei Gan, Rajiv Mahajan, Geetanjali Rangnekar, Rajeev K. Pathak, Darragh Twomey, Carlee Schultz, Anand N. Ganesan, Anthony G. Brooks, Kurt C. Roberts-Thomson, Alex Brown, Dennis H.Lau, Prashanthan Sander
Risk factor management and atrial fibrillation clinics: saving the best for last?
No full textAtrial fibrillation (AF) is a leading cause of cardiovascular morbidity and mortality worldwide. Management of AF is a complex process involving: 1) the prevention of thromboembolic complications with anticoagulation; 2) rhythm control; and 3) the detection and treatment of underlying heart disease. However, cardiometabolic risk factors, such as obesity, hypertension, diabetes mellitus, and obstructive sleep apnoea, have been proposed as contributors to the expanding epidemic of atrial fibrillation (AF). Thus, a fourth pillar of AF care would include aggressive targeting of interdependent, modifiable cardiovascular risk factors as part of an integrated care model. Such risk factor management could retard and reverse the pathological processes underlying AF and reduce AF burden.Rajiv Mahajan, Rajeev K. Pathak, Anand Thiyagarajah, Dennis H. Lau, Francis E. Marchlinski, Sanjay Dixit, John D. Day, Jeroen M.L. Hendriks, Melinda Carrington, Jonathan M. Kalman, Prashanthan Sander
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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