CLINICAL TRIALS PROFILE FOR ANDROID 25
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All Clinical Trials for Android 25
| Trial ID | Title | Status | Sponsor | Phase | Start Date | Summary |
|---|---|---|---|---|---|---|
| NCT02107014 ↗ | Low Dose Naltrexone (LDN) Immune Monitoring | Completed | Stanford University | N/A | 2014-03-01 | We have found that low dose naltrexone (LDN) can substantially reduce pain associated with fibromyalgia syndrome. We believe LDN may work via novel anti-inflammatory channels. The purpose of this study is to determine if LDN lowers inflammatory markers in individuals with fibromyalgia. |
| NCT02107014 ↗ | Low Dose Naltrexone (LDN) Immune Monitoring | Completed | University of Alabama at Birmingham | N/A | 2014-03-01 | We have found that low dose naltrexone (LDN) can substantially reduce pain associated with fibromyalgia syndrome. We believe LDN may work via novel anti-inflammatory channels. The purpose of this study is to determine if LDN lowers inflammatory markers in individuals with fibromyalgia. |
| NCT02897934 ↗ | CWI and Discharge After Breast Cancer Surgery | Completed | University College Cork | 2016-08-01 | The objectives of this work are threefold: 1. To evaluate the analgesic efficacy of CWI in women discharged within 23 hours of major breast cancer surgery 2. To evaluate objective indices of patient recovery following anaesthesia and surgery in a 23 hour model of care 3. To evaluate patient satisfaction with their care pathway | |
| NCT03387787 ↗ | Evaluation of Glycaemic Control Using GlucoTab® With Insulin Degludec in Hospitalized Patients With Diabetes Mellitus Type 2 | Completed | University Hospital Inselspital, Berne | Phase 2/Phase 3 | 2018-01-30 | The GlucoTab® system is a computerized decision support system built of an android based front-end user interface and a backend server including the REACTION algorithm. GlucoTab® is able to process blood glucose data and physiological confounders of glycaemia. Subsequently, GlucoTab® provides patient-specific basal, bolus, and correction insulin doses together with visualization and documentation of relevant data. The GlucoTab® system was found capable to keep hospitalized diabetic patients in the recommended target range without increasing the risk for hypoglycaemic events. Insulin pharmacokinetic is a critical confounder of glycaemic variability and the main determinant of an algorithm-based decision support-system. GlucoTab® is intended for being used with a basal/bolus insulin regimen. Up to date, feasibility data are limited to the use of insulin glargine. Insulin degludec, an ultra-long acting basal insulin is characterized by a stable pharmacokinetic profile a half-life of ~25 hours. It was found equally effective to insulin glargine with respect to glycaemic control, while the incidence of (nocturnal) hypoglycaemia was smaller in patients treated with insulin degludec. Within the present study, insulin glargine will be replaced by insulin degludec, which is not yet approved for dose titration with GlucoTab®. In the present study, 15 non-critically ill T2DM patients, who were hospitalized at the University Clinic of Neurosurgery for various reasons and require insulin treatment will be recruited. Patients will be treated with insulin Tresiba and insulin Novorapid. For a maximum duration of 21 days, GlucoTab® will calculate the required insulin doses for each patient, depending on fasting plasma glucose and postprandial glucose measurements during the day. After the calculated Insulin dose has been approved by the physician, the nursing staff will give the dose to the respective patient. The present study will analyse the efficacy of GlucoTab® for glycaemic management in T2DM patients using insulin degludec. |
| NCT03953326 ↗ | HeartPhone Cancer Survivors Trial 2019 | Terminated | Penn State University | Phase 1/Phase 2 | 2019-04-23 | This is a behavioral study that will examine changes in physical activity and vascular health in response to a digital tool (app) that will appear on participant's lock screen of their Android phone. Participants will be asked to use this app for 3 months and to wear a Fitbit device continuously throughout the study. Participants will be asked to complete questionnaires, participate in fitness testing and measures of cardiovascular health at 3 months and 6 months after baseline assessments. The hypothesis is that exposure to the app will lead to increased physical activity volume and improved microvessel function. |
| NCT03979352 ↗ | Effect of SGLT2i in Conjunction With the Artificial Pancreas on Improving the Glycemia in T1DM in the Outpatient Setting | Unknown status | McGill University Health Center | Phase 3 | 2019-08-01 | The most advanced configurations of the Artificial Pancreas (AP) have not yet been demonstrated to sufficiently maximize time in target glycemia. One limitation is the challenge of postprandial glycemic control, which currently requires ongoing patient engagement for accurate and detailed bolus dose estimation for meals. Sodium Glucose Linked Transporter 2 Inhibition (SGLT2i) provides an additional mechanism to attenuate post-prandial glycemic excursion, and may represent a strategy that could further alleviate carbohydrate counting burden and improve the performance of AP configurations. This trial aims to compare - using a randomized, masked placebo-controlled, crossover, multicenter design - the efficacy of the SGLT2i empagliflozin 25 mg oral per day each in the setting of single-hormone automated AP and conventional insulin pump therapy on the proportion of time spent in target and in hypoglycemia each during a 4-week day-and-night period. The pilot trial aims to enroll 28 adult patients with type 1 diabetes (T1D) across 2 research sites (one in Toronto and one in Montreal) and includes a 2- week therapy optimization run-in period, 4-weeks for each of the two AP intervention arms, and a 1- week washout in between the pharmacological intervention sequences. Glucose levels will be measured by continuous glucose monitoring (G5, Dexcom Inc.). Insulin will be infused using a subcutaneous infusion pump (t-slim, Tandem Diabetes Care) and communication between pumps and the algorithm will be implemented using Android Smartphone devices and Bluetooth technology communication. |
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