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https://www.selleckchem.com/products/ubcs039.html n rates to full self-care from assisted dialysis and the cost implications of respite care are needed. Adaptive design methods are intended to improve the efficiency of clinical trials and are relevant to evaluating interventions in dialysis populations. We sought to determine the use of adaptive designs in dialysis clinical trials and quantify trends in their use over time. We completed a novel full-text systematic review that used a machine learning classifier (RobotSearch) for filtering randomized controlled trials and adhered to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. We searched MEDLINE (PubMed) and ClinicalTrials.gov using sensitive dialysis search terms. We included all randomized clinical trials with patients receiving dialysis or clinical trials with dialysis as a primary or secondary outcome. There was no restriction of disease type or intervention type. We performed a detailed data extraction of trial characteristics and a completed a narrative synthesis of the data. 57 studies, available as 68 articles and 7 ClinicalTrials.gov summaries or abstract and would not be detected by a standard systematic review. We limited our search to 2 databases (PubMed and ClinicalTrials.gov) due to the scale of studies sourced (209,033 and 6,002 results, respectively). Adaptive design methods are used in dialysis trials but there has been a decline in their relative use over time. Adaptive design methods are used in dialysis trials but there has been a decline in their relative use over time. Since January 2017, patients with acute kidney injury requiring dialysis (AKI-D) can be discharged to outpatient dialysis centers for continued hemodialysis (HD) support. We aimed to examine the rate of kidney recovery, time to recovery, and hospitalization-related clinical parameters associated with kidney recovery in patients with AKI-D. Single-center prospective cohort study. 111 a

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