scholarly journals Effects of Clinical Pilates Exercises on Patients Developing Lymphedema after Breast Cancer Treatment: A Randomized Clinical Trial

2017 ◽  
Vol 13 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Hulya Ozlem Sener ◽  
Mehtap Malkoc ◽  
Gulbin Ergin ◽  
Didem Karadibak ◽  
Tugba Yavuzsen
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Cancer Treatment ◽  
Randomized Clinical Trial ◽  
Breast Cancer Treatment

scholarly journals A Randomized Clinical Trial of Caregiver-Delivered Reflexology for Symptom Management During Breast Cancer Treatment

2017 ◽  
Vol 54 (5) ◽  
pp. 670-679 ◽  
Author(s):  
Gwen Wyatt ◽  
Alla Sikorskii ◽  
Irena Tesnjak ◽  
Dawn Frambes ◽  
Amanda Holmstrom ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Cancer Treatment ◽  
Randomized Clinical Trial ◽  
Symptom Management ◽  
Breast Cancer Treatment

scholarly journals The INTREST registry: protocol of a multicenter prospective cohort study of predictors of women’s response to integrative breast cancer treatment

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Heidemarie Haller ◽  
Petra Voiß ◽  
Holger Cramer ◽  
Anna Paul ◽  
Mattea Reinisch ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Cohort Study ◽  
Cancer Treatment ◽  
Prospective Cohort Study ◽  
Cancer Care ◽  
Prospective Cohort ◽  
Breast Cancer Treatment ◽  
Cancer Data ◽  
Patient Reported

Abstract Background Cancer registries usually assess data of conventional treatments and/or patient survival. Beyond that, little is known about the influence of other predictors of treatment response related to the use of complementary therapies (CM) and lifestyle factors affecting patients’ quality and quantity of life. Methods INTREST is a prospective cohort study collecting register data at multiple German certified cancer centers, which provide individualized, integrative, in- and outpatient breast cancer care. Patient-reported outcomes and clinical cancer data of anticipated N = 715 women with pTNM stage I-III breast cancer are collected using standardized case report forms at the time of diagnosis, after completing neo−/adjuvant chemotherapy, after completing adjuvant therapy (with the exception of endocrine therapy) as well as 1, 2, 5, and 10 years after baseline. Endpoints for multivariable prediction models are quality of life, fatigue, treatment adherence, and progression-based outcomes/survival. Predictors include the study center, sociodemographic characteristics, histologic cancer and comorbidity data, performance status, stress perception, depression, anxiety, sleep quality, spirituality, social support, physical activity, diet behavior, type of conventional treatments, use of and belief in CM treatments, and participation in a clinical trial. Safety is recorded following the Common Terminology Criteria for Adverse Events. Discussion This trial is currently recruiting participants. Future analyses will allow to identify predictors of short- and long-term response to integrative breast cancer treatment in women, which, in turn, may improve cancer care as well as quality and quantity of life with cancer. Trial registration German Clinical Trial Register DRKS00014852. Retrospectively registered at July 4th, 2018.

Mat Pilates method improve postural alignment women undergoing hormone therapy adjunct to breast cancer treatment. Clinical trial

2021 ◽  
pp. 101424
Author(s):  
Tatiana de Bem Fretta ◽  
Leonessa Boing ◽  
Augusto do Prado Baffa ◽  
Adriano Ferreti Borgatto ◽  
Adriana Coutinho de Azevedo Guimarães
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Cancer Treatment ◽  
Hormone Therapy ◽  
Breast Cancer Treatment ◽  
Postural Alignment ◽  
Pilates Method

scholarly journals Improving Breast Cancer Surgical Treatment Decision Making: The iCanDecide Randomized Clinical Trial

2018 ◽  
Vol 36 (7) ◽  
pp. 659-666 ◽  
Author(s):  
Sarah T. Hawley ◽  
Yun Li ◽  
Lawrence C. An ◽  
Kenneth Resnicow ◽  
Nancy K. Janz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Decision Making ◽  
Randomized Clinical Trial ◽  
Web Site ◽  
Treatment Decision ◽  
Breast Cancer Treatment ◽  
High Quality ◽  
High Knowledge ◽  
Quality Decision

Purpose This study was conducted to determine the effect of iCanDecide, an interactive and tailored breast cancer treatment decision tool, on the rate of high-quality patient decisions—both informed and values concordant—regarding locoregional breast cancer treatment and on patient appraisal of decision making. Methods We conducted a randomized clinical trial of newly diagnosed patients with early-stage breast cancer making locoregional treatment decisions. From 22 surgical practices, 537 patients were recruited and randomly assigned online to the iCanDecide interactive and tailored Web site (intervention) or the iCanDecide static Web site (control). Participants completed a baseline survey and were mailed a follow-up survey 4 to 5 weeks after enrollment to assess the primary outcome of a high-quality decision, which consisted of two components, high knowledge and values-concordant treatment, and secondary outcomes (decision preparation, deliberation, and subjective decision quality). Results Patients in the intervention arm had higher odds of making a high-quality decision than did those in the control arm (odds ratio, 2.00; 95% CI, 1.37 to 2.92; P = .0004), which was driven primarily by differences in the rates of high knowledge between groups. The majority of patients in both arms made values-concordant treatment decisions (78.6% in the intervention arm and 81.4% in the control arm). More patients in the intervention arm had high decision preparation (estimate, 0.18; 95% CI, 0.02 to 0.34; P = .027), but there were no significant differences in the other decision appraisal outcomes. The effect of the intervention was similar for women who were leaning strongly toward a treatment option at enrollment compared with those who were not. Conclusion The tailored and interactive iCanDecide Web site, which focused on knowledge building and values clarification, positively affected high-quality decisions largely by improving knowledge compared with static online information. To be effective, future patient-facing decision tools should be integrated into the clinical workflow to improve decision making.

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