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Full-Text Articles in Medicine and Health Sciences
Should Patients With Diabetes Be Encouraged To Integrate Social Media Into Their Care Plan?, Arun R. Nelakurthi, Angela Marinilli Pinto, Curtiss B. Cook, Lynne Jones, Mary Boyle, Jieping Ye, Theodoros Lappas, Jingrui He
Should Patients With Diabetes Be Encouraged To Integrate Social Media Into Their Care Plan?, Arun R. Nelakurthi, Angela Marinilli Pinto, Curtiss B. Cook, Lynne Jones, Mary Boyle, Jieping Ye, Theodoros Lappas, Jingrui He
Publications and Research
AIM: To evaluate the use of social media of individuals with diabetes mellitus (DM).
MATERIALS & METHODS: Both web-based and in-clinic surveys were collected from individuals with DM. Descriptive and correlation analyses were employed to evaluate respondents' diabetes-specific social networking site behaviors.
RESULTS: Forty-five patients with DM completed the web-based survey and 167, the clinic-based survey, of whom only 40 visited diabetes-specific social networking sites. Analysis of online survey data indicated that self-reported adherence to lifestyle recommendations was significantly correlated (p < 0.01) with visiting the sites. Clinic-based survey data found that patients who reported using DM-specific web sites monitored home glucose values more often and had better compliance with insulin administration (both p < 0.05) compared with nonusers.
CONCLUSION: This study provides insight into why individuals visit DM-specific social networking sites. Certain self-management behaviors may improve as …
Identifying An Early Treatment Window For Predicting Breast Cancer Response To Neoadjuvant Chemotherapy Using Immunohistopathology And Hemoglobin Parameters, Quing Zhu, Susan Tannenbaum, Scott H. Kurtzman, Patricia Defusco, Andrew Ricci Jr., Hamed Vavadi, Feifei Zhou, Chen Xu, Alex Merkulov, Poornima Hegde, Mark Kane, Liqun Wang, Kert Sabbath
Identifying An Early Treatment Window For Predicting Breast Cancer Response To Neoadjuvant Chemotherapy Using Immunohistopathology And Hemoglobin Parameters, Quing Zhu, Susan Tannenbaum, Scott H. Kurtzman, Patricia Defusco, Andrew Ricci Jr., Hamed Vavadi, Feifei Zhou, Chen Xu, Alex Merkulov, Poornima Hegde, Mark Kane, Liqun Wang, Kert Sabbath
Publications and Research
Background
Breast cancer pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) varies with tumor subtype. The purpose of this study was to identify an early treatment window for predicting pCR based on tumor subtype, pretreatment total hemoglobin (tHb) level, and early changes in tHb following NAC.
Methods
Twenty-two patients (mean age 56 years, range 34–74 years) were assessed using a near-infrared imager coupled with an Ultrasound system prior to treatment, 7 days after the first treatment, at the end of each of the first three cycles, and before their definitive surgery. Pathologic responses were dichotomized by the Miller-Payne system. Tumor …