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Héctor G. van den Boorn, Ameen Abu-Hanna, Nadia Haj Mohammad, Maarten C.C.M. Hulshof, Suzanne S. Gisbertz, Bastiaan R. Klarenbeek, Marije Slingerland, Laurens V. Beerepoot, Tom Rozema, Mirjam A.G. Sprangers, Rob H.A. Verhoeven, Martijn G.H. van Oijen, Koos H. Zwinderman, and Hanneke W.M. van Laarhoven

preferences and values should play a significant role in shared decision-making concerning treatment options. 9 When deciding on treatment, it is therefore vital that patients are provided accurate and preferably personalized information about the risks

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Dawn J. Brooks

50 years, with the recommendation that the decision to refer women in their 40s for screening be based on shared decision-making (ie, a discussion of the risks and benefits of screening between physician and patient). In addition, the recommended

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Kathryn P. Pennington, Renata R. Urban, and Heidi J. Gray

cervical cancer and patients should be guided appropriately to make informed shared decision-making if they still desire MIS. Disclosures: The authors have disclosed that they have no financial interests, arrangements, affiliations, or commercial

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Héctor G. van den Boorn, Willemieke P.M. Dijksterhuis, Lydia G.M. van der Geest, Judith de Vos-Geelen, Marc G. Besselink, Johanna W. Wilmink, Martijn G.H. van Oijen, and Hanneke W.M. van Laarhoven

emergence of prediction models in various cancer types has contributed to assessment of individually aligned prediction of prognosis and support of shared decision-making in clinical practice. 7 These models based on patient, tumor, and treatment

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Seanthel Delos Santos, Noah Witzke, Bishal Gyawali, Vanessa Sarah Arciero, Amanda Putri Rahmadian, Louis Everest, Matthew C. Cheung, and Kelvin K. Chan

ongoing approval. Closing the knowledge gap and facilitating shared decision-making between patients and physicians about the clinical benefits and costs of cancer drugs were the main goals of the ASCO Value in Cancer Care Task Force. ASCO developed a

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Tara M. Mackay, Anouk E.J. Latenstein, Mirjam A.G. Sprangers, Lydia G. van der Geest, Geert-Jan Creemers, Susan van Dieren, Jan-Willem B. de Groot, Bas Groot Koerkamp, Ignace H. de Hingh, Marjolein Y.V. Homs, Evelien J.M. de Jong, I. Quintus Molenaar, Gijs A. Patijn, Lonneke V. van de Poll-Franse, Hjalmar C. van Santvoort, Judith de Vos-Geelen, Johanna W. Wilmink, Casper H. van Eijck, Marc G. Besselink, Hanneke W.M. van Laarhoven, and for the Dutch Pancreatic Cancer Group

explained variance analysis (Nagelkerke R 2 ), we found that the QoL items were of additional prognostic value on top of the clinical variables. Given the prognostic value of QoL parameters, these parameters may be used during shared decision-making

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Arkadiusz Spychala, Michal Oko, Olga Zając-Spychala, and Witold Kycler

Background: Relevant information is a prerequisite for patients to acquire enough knowledge to enable them to be actively involved in shared decision making, to comply with the treatment plan, and to understand what are potential benefits and side

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Jeffrey K. Belkora, David W. Hutton, Dan H. Moore, and Laura A. Siminoff

Adjuvant! is a model that provides recurrence and mortality risk predictions for patients with breast cancer considering adjuvant therapies. Although low-risk patients who saw Adjuvant! chose adjuvant therapy less frequently, whether this was because of educational or other aspects of the decision aid is unknown. The authors explored whether Adjuvant! affects choice of therapy through increased patient knowledge. A subset of data were analyzed from a cluster randomized trial in which oncology practices in 2 major United States cities were randomly assigned to use either Adjuvant! or an informational pamphlet to educate patients. Of 405 patients, 48 were low-risk, with 28 assigned to the decision aid and 20 to the pamphlet. Among the low-risk patients, using frequency tables and Fisher exact tests, the authors explored whether Adjuvant! was associated with more accurate patient estimates of survival; whether accuracy was associated with treatment choice; and whether, after controlling for accuracy, any remaining association was seen between Adjuvant! and treatment choice. Adjuvant! was associated with more accurate estimates of baseline prognosis compared with the pamphlet (57% vs. 25%; P = .04). Patients who had more accurate estimates of baseline prognosis were less likely to choose adjuvant therapy (62% vs. 89%; P = .04). After controlling for accuracy, no statistically significant association was found between the use of Adjuvant! and adjuvant therapy (P = .59 and P = .11 for inaccurate and accurate patients, respectively). Adjuvant! seems to influence patient choice through educational rather than other means of persuasion. However, many patients held inaccurate risk perceptions after viewing Adjuvant!.

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Matthew S. Ning, Prajnan Das, David I. Rosenthal, Bouthaina S. Dabaja, Zhongxing Liao, Joe Y. Chang, Daniel R. Gomez, Ann H. Klopp, G. Brandon Gunn, Pamela K. Allen, Paige L. Nitsch, Rachel B. Natter, Tina M. Briere, Joseph M. Herman, Rebecca Wells, Albert C. Koong, and Mary Frances McAleer

work evaluates specific clinical factors associated with early and midtreatment mortality, with the goal of helping guide formal communication in EoL care and shared decision-making strategies for terminally ill patients with cancer. Materials and

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Mary B. Daly, Robert Pilarski, Jennifer E. Axilbund, Michael Berry, Saundra S. Buys, Beth Crawford, Meagan Farmer, Susan Friedman, Judy E. Garber, Seema Khan, Catherine Klein, Wendy Kohlmann, Allison Kurian, Jennifer K. Litton, Lisa Madlensky, P. Kelly Marcom, Sofia D. Merajver, Kenneth Offit, Tuya Pal, Huma Rana, Gwen Reiser, Mark E. Robson, Kristen Mahoney Shannon, Elizabeth Swisher, Nicoleta C. Voian, Jeffrey N. Weitzel, Alison Whelan, Myra J. Wick, Georgia L. Wiesner, Mary Dwyer, Rashmi Kumar, and Susan Darlow

The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast and Ovarian provide recommendations for genetic testing and counseling and risk assessment and management for hereditary cancer syndromes. Guidelines focus on syndromes associated with an increased risk of breast and/or ovarian cancer and are intended to assist with clinical and shared decision-making. These NCCN Guidelines Insights summarize major discussion points of the 2015 NCCN Genetic/Familial High-Risk Assessment: Breast and Ovarian panel meeting. Major discussion topics this year included multigene testing, risk management recommendations for less common genetic mutations, and salpingectomy for ovarian cancer risk reduction. The panel also discussed revisions to genetic testing criteria that take into account ovarian cancer histology and personal history of pancreatic cancer.