Clinical Trials Logo

Clinical Trial Summary

The main goal of the study is to evaluate sleep disorders in breast cancer patients prior to and during a course of radiotherapy in terms of severity of sleep disorders, distress for the patients and use of sleeping drugs, in order to evaluate the potential effect of habituation to radiotherapy during the course of treatment and generate hypotheses thereof. The patients will be asked to complete a questionnaire prior to radiotherapy, after 5 and 15 fractions of radiotherapy, and at the end of radiotherapy. The questionnaire includes questions regarding symptoms, distress, sleep disorders and sleeping drugs. In addition, a questionnaire regarding the use of smartphones / tablets will be completed prior to radiotherapy. Forty-eight patients with documented start of radiotherapy and with a documented completed questionnaire at baseline and at least one completed questionnaire after start of radiotherapy should be subjected to statistical analysis. Assuming that 5% of patients do not fulfil these requirements, a total of 51 patients should be enrolled to this study.


Clinical Trial Description

The majority of breast cancer patients receive adjuvant radiotherapy, either following breast-conserving surgery or mastectomy. The situation that a patient needs to be irradiated may cause distress due to a sense of menace in view of the technology, fear of the exposure to radiation and fear of radiation-related adverse effects. These fears and other factors may lead to sleep disorders. In a previous the study, cancer patients reported the most sleep disorders prior to and at the beginning of radiotherapy. The patients appeared to develop coping strategies during the treatment. In another study, an increase of insomnia was observed during the course of radiotherapy due to treatment-related side effects. In general, very little is known about the prevalence of sleep disorders prior and during a radiotherapy course. This study mainly aims to evaluate the course of sleep disorders during radiotherapy for breast cancer. To assess the rate of patients with decrease of sleep disorders during the course of radiotherapy compared to baseline, defined as - Decrease of severity of sleep disorders by at least 2 points on a patient self-rating scale (0=no problems; 10=maximum problems) or - Decrease of distress caused by sleep disorders by at least 2 points on a patient self-rating scale (0=no distress; 10=maximum distress) or - Reduction of the dose of sleeping drugs by at least 25%. The required sample size of N=51 (including drop-outs) is set at the maximum that is deemed achievable in this study within the timeframe of the study given the size of the target population. However, with this sample size a one-sample binomial test with a one-sided significance level of 2.5% has a power of 80% to yield statistical significance if the rate of patients with decrease of sleep disorders during the course of radiotherapy compared to baseline is 25% (rate under the alternative hypothesis) and assuming that a decrease of only 10% or less has to be judged as a random, non-causal change in this uncontrolled study setting (null hypothesis). The latter rate was chosen after respective discussions with experts. The focus of the statistical analysis is descriptive and exploratory in nature. If statistical tests are applied beyond the prespecified statistical hypothesis testing for the primary study endpoint, they are to be interpreted on an exploratory perspective. All data recorded in the case report forms describing the study population (demographic and clinical characteristics, at baseline) will be analyzed descriptively. Categorical data will be presented in tables with frequencies and percentages. Continuous data will be summarized with at least the following: frequency (n), median, quartiles, mean, standard deviation (standard error), minimum and maximum. Number of patients with protocol deviations during the study and listings describing the deviations will be provided. Sleep disorders at baseline and during the course of radiotherapy will be rated using two patient self-reporting scales (sleep disorders and distress) and the intake of sleeping drugs. To evaluate the rate of patients with decrease of sleep disorders during the course of radiotherapy compared to baseline, the dichotomized composite endpoint is considered. The point estimate of the rate of decrease and the associated 95% confidence interval will be presented. To test whether the rate of decrease is significantly greater than 10%, the one-sided binomial test at a one-sided 2.5% significance level will be applied. To further assess the potential impact of other relevant factors on the primary study endpoint stratified analyses will be conducted. The associated factors of particular importance are sleeping disorders at baseline (≤ median score on sleep disorder self-rating scale vs.> median score) and the use of smartphones at bedtime (≤ median score vs. > median score). Furthermore, a logistic regression model including sleep disorder rating scale at baseline (≤ median score on sleep order self-rating scale vs.> median score), the use of smartphones / tablets at bedtime (≤ median score vs. > median score) and other factors, namely age, type of breast surgery, systemic anticancer treatment, body mass index, co-morbidity will be fitted to identify potentially relevant prognostic factors for the decrease of sleep disorders. Adjusted odds ratios and 95% confidence interval (Wald χ2) will be derived thereof. In addition, each component of the primary composite endpoint will be subjected to statistical analyses to evaluate the sleep disorders during the course of the study using descriptive statistical methods. These analyses allow for detailed assessment of the scales over time taking into account potential decrease as well potential increase in sleep orders. For graphical visualization Spaghetti-plots and Box-Whisker diagrams will be provided. Moreover, the change from baseline values will be considered and subjected to descriptive analyses. Friedman tests and Wilcoxon-Mann Whitney tests may be applied for comparison of study visits. Cumulative distribution plots of changes from baseline at each visit will be presented; these plots will display a continuous change from baseline on the x-axis and the cumulative percentage of patients experiencing that change on the y-axis. The above mentioned analyses will be further stratified by sleeping disorders at baseline (≤ median score on sleep disorder self-rating scale vs.> median score) and the use of smartphones at bedtime (≤ median score vs. > median score). For further exploratory analysis, the rates of patients experiencing any sleep disorders (yes/no) at each time will be estimated together with their associated confidence intervals; these analyses will also be stratified by sleeping disorders at baseline and the use of smartphones at bedtime. The recruitment of all 51 patients (48 patients plus 5% drop-outs) should be completed within 4.5 months. The radiotherapy period will be 3-6.5 weeks. This equals a total running time for the study of approximately 6 months.The recruitment of all 51 patients (48 patients plus 5% drop-outs) should be completed within 4.5 months. The radiotherapy period will be 3-6.5 weeks. This equals a total running time for the study of approximately 6 months. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04879264
Study type Interventional
Source University Hospital Schleswig-Holstein
Contact Dirk Rades, MD
Phone +49451500
Email dirk.rades@uksh.de
Status Not yet recruiting
Phase N/A
Start date June 1, 2021
Completion date June 30, 2022

See also
  Status Clinical Trial Phase
Completed NCT03080623 - Ultrasound-based Diagnostic Model for Differentiating Malignant Breast Lesion From Benign Lesion
Completed NCT05527769 - Pain and Functional Recovery After Mastectomy and IBR by Implant: Prepectoral Versus Subpectoral Technique
Completed NCT06376578 - Exercise Interventions for Improving Health in Breast Cancer Survivors N/A
Completed NCT03004534 - A Study to Evaluate Changes in Human Breast Cancer Tissue Following Short-Term Use of Darolutamide Early Phase 1
Recruiting NCT05020574 - Microbiome and Association With Implant Infections Phase 2
Active, not recruiting NCT06277141 - The Vitality Mammography Messaging Study N/A
Completed NCT03270111 - High Physical Activity During a Weight Loss Intervention for Breast Cancer Survivors and High Risk Women N/A
Completed NCT03555227 - USG PECS vs LIA for Breast Cancer Surgery N/A
Active, not recruiting NCT03917082 - Limited Adjuvant Endocrine Therapy for Low Risk Breast Cancer Phase 2
Recruiting NCT05561842 - Tablet-based Mobile Health Ultrasound for Point-of-care Breast Cancer Diagnosis in Nigeria (Mobile Health: Technology and Outcomes in Low and Middle-Income Countries)
Completed NCT04554056 - Trial to Compare the Efficacy and Safety Of MW05 and PEG-rhG-CSF Phase 2/Phase 3
Active, not recruiting NCT03127995 - Hypofractionated vs Standard Radiotherapy in Breast Cancer With an Indication for Regional Lymph Node Irradiation About Lymphedema Occurrence N/A
Active, not recruiting NCT02237469 - Prone Breast Radiotherapy Treatment Planning Observational Study
Completed NCT01204125 - Two Regimens of SAR240550/Weekly Paclitaxel and Paclitaxel Alone as Neoadjuvant Therapy in Triple Negative Breast Cancer Patients Phase 2
Recruiting NCT04565054 - Adjuvant Therapy With Abemaciclib + SOC ET vs. SOC ET in Clinical or Genomic High Risk, HR+/HER2- EBC Phase 3
Not yet recruiting NCT06412133 - Conversations in Light and Shadow: Assessing Phototherapy's Impact on Breast Cancer Patients N/A
Recruiting NCT03956641 - Evolution of the Physical Condition in Treated Cancer Patients N/A
Recruiting NCT06087120 - Investigate the Prognostic and Predictive Value of ctDNA During Neoadjuvant Chemotherapy for Breast Cancer.
Recruiting NCT06058936 - Exercises Using Virtual Reality on Cancer Patients N/A
Completed NCT03470935 - Non-interventional Study Evaluating Gynecological Impact of Diagnosis and Treatment of Breast Cancer in Patients Younger