Zobrazeno 1 - 4
of 4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4fcc59ecc0c7ac068f8d9400a8d6625
https://doi.org/10.1200/op.21.00394
https://doi.org/10.1200/op.21.00394
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9145b1e6ce07314be9857d5dd043d0ed
https://doi.org/10.1200/jco.2021.39.15_suppl.6509
https://doi.org/10.1200/jco.2021.39.15_suppl.6509
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f173263aad9187c16af29cac0d76faed
https://doi.org/10.1200/jco.2021.39.15_suppl.1555
https://doi.org/10.1200/jco.2021.39.15_suppl.1555