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Katrine Løppenthin, Christoffer Johansen, Matilde Bille Larsen, Birgitte Hysse Forchhammer, Jannick Brennum, Karin Piil, Neil Aaronson, Birthe Krogh Rasmussen, and Pernille Bidstrup

refused to participate or for whom data were missing ( supplemental eTable 1 , available with this article at JNCCN.org ). Study Cohort Characteristics Characteristics of the study samples are presented in Table 1 . Men represented 60% of the

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Christopher J. Magnani, Kevin Li, Tina Seto, Kathryn M. McDonald, Douglas W. Blayney, James D. Brooks, and Tina Hernandez-Boussard

. Characteristics of Patients Eligible for Screening In the OptumLabs 1% sample, we identified 93,334 prepolicy and 110,067 postpolicy patients. Patient counts for the control and exposure groups were equivalent for the OptumLabs analysis because patient records

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Leslie R. Schover, Ying Yuan, Bryan M. Fellman, Evan Odensky, Pamela E. Lewis, and Paul Martinetti

professionals provided counseling and were supervised weekly by the first author (LRS). Counselors guided women through the Web site and discussed behavioral homework. Statistical Analyses Demographic and clinical characteristics were summarized with

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Siew Tzuh Tang, Jen-Shi Chen, Fur-Hsing Wen, Wen-Chi Chou, John Wen-Cheng Chang, Chia-Hsun Hsieh, and Chen Hsiu Chen

eAppendix 4 ). Data Collection Participants’ characteristics were assessed at baseline (before random assignment). Data on outcome measures (LST preferences, QoL, anxiety symptoms, and depressive symptoms) and time-varying covariates were collected at

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Richard Li, Ashwin Shinde, Marwan Fakih, Stephen Sentovich, Kurt Melstrom, Rebecca Nelson, Scott Glaser, Yi-Jen Chen, Karyn Goodman, and Arya Amini

in the final matched cohort. All statistical analyses were performed using SPSS Statistics, version 23 (IBM Corp.). Results Patient Cohort Characteristics A total of 3,729 patients with a median follow-up of 41.1 months who met the inclusion criteria

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Taymeyah Al-Toubah, Eleonora Pelle, Tiffany Valone, Mintallah Haider, and Jonathan R. Strosberg

correlations and chi-square analyses. Results Patient Characteristics Supplemental eTable 1 presents patient demographics (available with this article at JNCCN.org ), and Table 1 presents tumor characteristics. A total of 462 patients met

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Zhiyuan Zheng, Ahmedin Jemal, Reginald Tucker-Seeley, Matthew P. Banegas, Xuesong Han, Ashish Rai, Jingxuan Zhao, and K. Robin Yabroff

sample of the civilian noninstitutionalized US population. Because deidentified NHIS data are publicly available, this study was exempt from Institutional Review Board review. The survey collects information on demographic characteristics, access to and

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Andrew G. Robinson, Xuejiao Wei, William J. Mackillop, Yingwei Peng, and Christopher M. Booth

( Figure 1 ). Table 1 shows the characteristics of these 8,005 patients; notably, only 39% (n=3,146) had previously received radical-intent surgery or radiation-therapy. The advanced age (75% were >70 years) and sex distribution (73% were male) were

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Andrea Cercek, Karyn A. Goodman, Carla Hajj, Emily Weisberger, Neil H. Segal, Diane L. Reidy-Lagunes, Zsofia K. Stadler, Abraham J. Wu, Martin R. Weiser, Philip B. Paty, Jose G. Guillem, Garrett M. Nash, Larissa K. Temple, Julio Garcia-Aguilar, and Leonard B. Saltz

measured. 15 Pathologic complete response (pathCR) was defined as the complete disappearance of all tumor cells. Results Patient Characteristics Of approximately 300 patients with rectal cancer treated between 2007 and 2012 at MSKCC and its

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Mandy R. Sakamoto, Megan Eguchi, Christine M. Azelby, Jennifer R. Diamond, Christine M. Fisher, Virginia F. Borges, Cathy J. Bradley, and Peter Kabos

Characteristics We used SEER data on patient age, year of diagnosis, race/ethnicity, marital status, poverty rate at the census tract, education level, practice setting, census tract rural-urban commuting area codes, geographic region, and tumor stage ( Table 1