patients is lacking. Methods: We conducted a single-center retrospective study of patients with various cancers treated with ICIs who developed ICI-induced T1D between 2010 and 2022. Patient characteristics and outcomes were assessed, including age, sex
Search Results
HSR24-160: Immune Checkpoint Inhibitor-Induced Type 1 Diabetes Mellitus: Patient Characteristics, Clinical Outcomes, and Survival Implications of Autoantibodies
John Sharp, Cassandra Pasadyn, Songzhu Zhao, Lai Wei, Carolyn Presley, Dwight Owen, Kathleen Wyne, and Alexa Meara
CLO20-058: Characteristics of Gynecological Anamnesis and its Prognostic Role in Azerbaijani Women With Breast Cancer
Sevinj E. Rahimzade, Jamil A. Aliyev, Elkhan E. Kazimov, Leylakhanum A. Melikova, Konul S. Mardanova, Turkan E. Mansurova, and Elchin B. Mansurov
gynecological anamnesis characteristics in Azerbaijani women with BC and investigation of the prognostic significance of the relationship with the stage (S) of BC and biological subtypes (BS). Materials: 570 randomly selected women with BC were included in the
Comorbidities, Rather Than Older Age, Are Strongly Associated With Higher Utilization of Healthcare in Colorectal Cancer Survivors
Melissa S.Y. Thong, Daniel Boakye, Lina Jansen, Uwe M. Martens, Jenny Chang-Claude, Michael Hoffmeister, Hermann Brenner, and Volker Arndt
of demographic and clinical characteristics by CCIS were tested for statistical significance using either an analysis of variance for continuous variables or a chi-square test for categorical variables. We used multivariable linear regression to
Trends in Annual Surveillance Mammography Participation Among Breast Cancer Survivors From 2004 to 2016
Kathryn P. Lowry, Katherine A. Callaway, Janie M. Lee, Fang Zhang, Dennis Ross-Degnan, J. Frank Wharam, Karla Kerlikowske, Karen J. Wernli, Allison W. Kurian, Louise M. Henderson, and Natasha K. Stout
enrollment. Results Cohort Selection and Characteristics Of 27,456,015 women enrolled from 2004 to 2016, we identified 141,672 aged 40 to 64 years with evidence of a personal breast cancer history meeting our inclusion/exclusion criteria
Long-Term Patterns of Oral Anticancer Agent Adoption, Duration, and Switching in Patients With CML
Matthew P. Banegas, Donna R. Rivera, Maureen C. O’Keeffe-Rosetti, Nikki M. Carroll, Pamala A. Pawloski, David C. Tabano, Mara M. Epstein, Kai Yeung, Mark C. Hornbrook, Christine Lu, and Debra P. Ritzwoller
standards. 22 VTR data were obtained via chart review by trained abstractors and included data associated with health service use and clinical, treatment, and tumor characteristics. The VDW pharmacy files provided data on national drug code
“Standard Care” in Cancer Clinical Trials: An Analysis of Care Provided to Women in the Control Arms of Breast Cancer Clinical Trials
Rachel F. Dear, Kevin McGeechan, Megan B. Barnet, Alexandra L. Barratt, and Martin H.N. Tattersall
were extracted from ClinicalTrials.gov . Of these, 500 did not meet inclusion criteria, most because they did not use a drug intervention (80%; 400/500). Trials may have been excluded for more than one reason ( Figure 1 ). Characteristics of the 215
Body Mass Index and Weight Change in Patients With HER2-Positive Early Breast Cancer: Exploratory Analysis of the ALTTO BIG 2-06 Trial
Samuel Martel, Matteo Lambertini, Dominique Agbor-Tarh, Noam F. Ponde, Andrea Gombos, Vicki Paterson, Florentine Hilbers, Larissa Korde, Anna Manukyants, Amylou Dueck, Christian Maurer, Martine Piccart, Alvaro Moreno-Aspitia, Christine Desmedt, Serena Di Cosimo, and Evandro de Azambuja
original ALTTO trial. 10 Statistical Considerations Patient baseline characteristics were compared with respect to BMI category (underweight, normal weight, overweight, obese) using the chi-square test. Weight change was calculated as a percentage (by
Clinical Utility of 18F-FDG PET/CT in Staging Localized Breast Cancer Before Initiating Preoperative Systemic Therapy
Heidi Ko, Yaser Baghdadi, Charito Love, and Joseph A. Sparano
for categorical variables. Association Between Clinical Characteristics and Upstaging Frequencies Associations between clinical characteristics and upstaging frequencies were assessed using the Fisher exact test for categorical variables and the
Increasing Colorectal Screening Uptake in Spouses of Patients With Colorectal Cancer Using a Randomized Behavioral Trial
Jerrald Lau, Lina Choe, Daphne Hui Juan Lee, Athena Ming-Gui Khoo, Wei-Ling Koh, Cherie Peh, Alyssa Ng, Tian-Zhi Lim, Bettina Lieske, Kuok-Chung Lee, Choon-Seng Chong, Choon-Sheong Seow, Christopher H.L. Keh, Jing-Yu Ng, and Ker-Kan Tan
trial. Statistical Analyses All statistical analysis was performed using Stata/BE 17.0 (StataCorp LLC). Baseline sociodemographic characteristics were presented using descriptive analyses. Bivariate chi-square tests of association were used for
Frailty in Patients With Newly Diagnosed Diffuse Large B-Cell Lymphoma Receiving Curative-Intent Therapy: A Population-Based Study
Abi Vijenthira, Lee Mozessohn, Chenthila Nagamuthu, Ning Liu, Danielle Blunt, Shabbir Alibhai, Anca Prica, and Matthew C. Cheung
frequency and percentages where appropriate. The Student t test was used to compare baseline characteristics, frailty scores, and chemoimmunotherapy cycles received between frail and nonfrail patients. The chi-square test was used to compare categorical
