Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Young, Chandler"'
Simulation modeling of breast cancer endocrine therapy duration by patient and tumor characteristics
Autor:
Young Chandler, Clyde Schechter, Jinani Jayasekera, Claudine Isaacs, Allison W. Kurian, Christopher Cadham, Jeanne Mandelblatt
Publikováno v:
Cancer Medicine, Vol 11, Iss 2, Pp 297-307 (2022)
Abstract Background Extending endocrine therapy from 5 to 10 years is recommended for women with invasive estrogen receptor (ER)‐positive breast cancers. We evaluated the benefits and harms of the five additional years of therapy. Methods An establ
Externí odkaz:
https://doaj.org/article/27f50351becf4ba6ba876133bcf9b883
Simulation modeling of breast cancer endocrine therapy duration by patient and tumor characteristics
Autor:
Young Chandler, Clyde Schechter, Jinani Jayasekera, Claudine Isaacs, Allison W. Kurian, Christopher Cadham, Jeanne Mandelblatt
Publikováno v:
Cancer Medicine
Cancer Medicine, Vol 11, Iss 2, Pp 297-307 (2022)
Cancer Medicine, Vol 11, Iss 2, Pp 297-307 (2022)
Background Extending endocrine therapy from 5 to 10 years is recommended for women with invasive estrogen receptor (ER)‐positive breast cancers. We evaluated the benefits and harms of the five additional years of therapy. Methods An established Can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c01db6c609f2faec72f05cefde1c3d0
https://doi.org/10.1002/cam4.4084
https://doi.org/10.1002/cam4.4084
Autor:
Jeanne S. Mandelblatt, Jinani Jayasekera, Young Chandler, Lawrence H. Kushi, Clyde B. Schechter, Suzanne C. O'Neill, Claudine Isaacs, Allison W. Kurian, Joseph A. Sparano
Publikováno v:
Journal of Clinical Oncology. 39:2893-2902
PURPOSE There is a need for industry-independent decision tools that integrate clinicopathologic features, comorbidities, and genomic information for women with node-negative, invasive, hormone receptor–positive, human epidermal growth factor recep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3136552f8d9cf5708132d74d509c61af
https://doi.org/10.1200/jco.21.00651
https://doi.org/10.1200/jco.21.00651
Structure, Function, and Applications of the Georgetown–Einstein (GE) Breast Cancer Simulation Model
Publikováno v:
Medical Decision Making. 38:66S-77S
Background. The Georgetown University-Albert Einstein College of Medicine breast cancer simulation model (Model GE) has evolved over time in structure and function to reflect advances in knowledge about breast cancer, improvements in early detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06e6952af612eb688661d091291c3e0
https://doi.org/10.1177/0272989x17698685
https://doi.org/10.1177/0272989x17698685
Autor:
Jeanne S. Mandelblatt, Claudine Isaacs, Jinani Jayasekera, Clyde B. Schechter, Christopher J Cadham, Young Chandler
Publikováno v:
J Natl Cancer Inst
Background Tumor genomic expression profile data are used to guide chemotherapy choice, but there are gaps in evidence for women aged 65 years and older. We estimate chemotherapy effects by age and comorbidity level among women with early-stage, horm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50edf5d569e3c9849ed21794a1498faa
https://pubmed.ncbi.nlm.nih.gov/31612212
https://pubmed.ncbi.nlm.nih.gov/31612212
Autor:
Lawrence H. Kushi, Jinani Jayasekera, Suzanne C. O'Neill, Claudine Isaacs, Jeanne S. Mandelblatt, Joseph A. Sparano, Young Chandler, Clyde B. Schechter, Allison W. Kurian
Publikováno v:
Journal of Clinical Oncology. 39:e12507-e12507
e12507 Background: There is a need for web-based decision tools that integrate clinicopathologic features and genomic information to guide breast cancer therapy for women with node-negative, hormone receptor positive, HER2 negative (“early-stage”
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bee9c321e02a0398210f526ff03c1fa
https://doi.org/10.1200/jco.2021.39.15_suppl.e12507
https://doi.org/10.1200/jco.2021.39.15_suppl.e12507
Autor:
Young Chandler, Suzanne C. O'Neill, Charles E. Phelps, Scott D. Ramsey, Tracy A. Lieu, Jeanne S. Mandelblatt, Clyde B. Schechter, G. Thomas Ray, Jinani Jayasekera, Claudine Isaacs, Aimee M. Near
Purpose Gene expression profile (GEP) testing can support chemotherapy decision making for patients with early-stage, estrogen receptor–positive, human epidermal growth factor 2–negative breast cancers. This study evaluated the cost effectiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80573df7c3c1739a2b23812bfbce861d
https://europepmc.org/articles/PMC5815401/
https://europepmc.org/articles/PMC5815401/
Autor:
Sandra J. Lee, Xuelin Huang, Juhee Song, Jeroen J. van den Broek, Oguzhan Alagoz, Jeanne S. Mandelblatt, Sylvia K. Plevritis, Hui Huang, Nicolien T. van Ravesteyn, Cong Xu, Harry J. de Koning, Young Chandler, Mehmet Ali Ergun, Amy Trentham-Dietz, Yisheng Li, Clyde B. Schechter, Donald A. Berry, Allison W. Kurian, Aimee M. Near, Ronald E. Gangnon, Natasha K. Stout, Diego F. Munoz, Brian L. Sprague
Publikováno v:
JAMA-Journal of the American Medical Association, 319(2), 154-164. American Medical Association
Importance Given recent advances in screening mammography and adjuvant therapy (treatment), quantifying their separate and combined effects on US breast cancer mortality reductions by molecular subtype could guide future decisions to reduce disease b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4651b0bd02aec1b75cc294a35938579
https://pure.eur.nl/en/publications/08caac82-0ada-4f3f-ad8c-fd4a3fc2257e
https://pure.eur.nl/en/publications/08caac82-0ada-4f3f-ad8c-fd4a3fc2257e
Publikováno v:
In Gene Expression Patterns January 2017 23-24:22-31
Autor:
Jeanne S. Mandelblatt, Claudine Isaacs, Christopher J Cadham, Young Chandler, Clyde B. Schechter, Jinani Jayasekera
Publikováno v:
Journal of Clinical Oncology. 37:e12055-e12055
e12055 Background: Under-representation of women ages 65+ (“older”) in the trials may limit clinical translation of results to this growing population. We used simulation modeling to estimate chemotherapy outcomes by age and comorbidity level amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84db47627674d6b950f1f0de2ddc2920
https://doi.org/10.1200/jco.2019.37.15_suppl.e12055
https://doi.org/10.1200/jco.2019.37.15_suppl.e12055