Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eric J. Clayton"'
Autor:
Lorena P. Suarez-Kelly, W. Hampton Pasley, Eric J. Clayton, Stephen P. Povoski, William E. Carson, Ray Rudolph
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Seroma formation is the most common complication after mastectomy and places patients at risk of associated morbidities. Microporous polysaccharide hemospheres (MPH) consists of hydrophilic, plant based, polysaccharide particles a
Externí odkaz:
https://doaj.org/article/c9f67edecd73401da57ced9061dc0ce5
Autor:
Julie Gralow, Melinda Kaltenbaugh, Charu Aggarwal, Daniel J Mesenhowski, Alicia L. Patrick, Richard L. Schilsky, Ronald C. Chen, Eric J. Clayton, Elizabeth Garrett-Mayer, Suanna S. Bruinooge, Kathryn Finch Mileham, Alexander I. Spira, David M. Waterhouse, Christiana Davis, Abdul Rahman Jazieh, Jen Hanley Williams, Susan G. Moore
Publikováno v:
JCO Oncology Practice. 18:e426-e441
PURPOSE:People with cancer are at increased risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. ASCO's COVID-19 registry promotes systematic data collection across US oncology practices.METHODS:Participating practices ent
Autor:
Melinda Kaltenbaugh, Liz Garrett-Mayer, Daniel J Mesenhowski, Ronald C. Chen, Charu Aggarwal, Kathryn Finch Mileham, Christiana Davis, Abdul Rahman Jazieh, Alicia L. Patrick, Alexander I. Spira, Jen Hanley Williams, David M. Waterhouse, Richard L. Schilsky, Susan G. Moore, Suanna S. Bruinooge, Eric J. Clayton
Publikováno v:
Journal of Clinical Oncology. 39:6509-6509
6509 Background: The ASCO Registry was created to analyze the impact of COVID-19 (COVID) on treatment (Tx) and outcomes of patients (pts) with cancer. Methods: The Registry includes pts with 1) a confirmed COVID diagnosis (Dx) and 2) clinically evide
Autor:
Eric J. Clayton, David Waterhouse, Peter B Harrison, Beth Lohmueller, Maggie D Howell, Rachel Hall, Imon Banerjee, Patrick J. Ward, Sunita Pierson
Publikováno v:
Journal of Clinical Oncology. 39:1555-1555
1555 Background: Screening every patient for clinical trials is time-consuming, costly and inefficient. Developing an automated method for identifying patients who have potential disease progression, at the point where the practice first receives the
Autor:
Suarez-Kelly, Lorena P.1,2 (AUTHOR) lorena.suarez-kelly@osumc.edu, Pasley, W. Hampton1 (AUTHOR) william.pasley@hcahealthcare.com, Clayton, Eric J.1 (AUTHOR) Eric.Clayton@hcahealthcare.com, Povoski, Stephen P.2 (AUTHOR) stephen.povoski@osumc.edu, Carson, William E.2 (AUTHOR) william.carson@osumc.edu, Rudolph, Ray1 (AUTHOR) rrudolphmd@gmail.com
Publikováno v:
BMC Cancer. 1/23/2019, Vol. 19 Issue 1, p1-9. 9p. 1 Diagram, 2 Charts.
Autor:
Suarez-Kelly, Lorena P., Patel, Dhruv A., Britt, Peter M., Clayton, Eric J., Bromberg, William J., McCain, Christina M., Howington, Jay U., Davis, Frank E.
Publikováno v:
Journal of Trauma & Acute Care Surgery; Dec2015, Vol. 79 Issue 6, p995-1003, 9p