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1,219 results for “randomisation”
Data from: Characteristics of randomised trials on diseases in the digestive system registered in ClinicalTrials.gov - a retrospective analysis
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Data from: Agreement between electronic and paper Epworth Sleepiness Scale responses in obstructive sleep apnoea: secondary analysis of a randomised controlled trial undertaken in a specialised tertiary care clinic
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The impact of seat-height on 1-minute sit to stand test performance in COPD: A randomised cross-over trial
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A randomised controlled trial of folic acid intervention in pregnancy highlights a putative methylation-regulated control element at ZFP57
GEO Series GSE176325. Homo sapiens. 86 samples. Type: Methylation profiling by genome tiling array.
Daytime variation of perioperative myocardial injury in cardiac surgery and its prevention by Rev-Erbα antagonism: a single-centre propensity-matched cohort study and a randomised study
GEO Series GSE111351. Homo sapiens. 15 samples. Type: Expression profiling by array.
Assessing mifepristone's effects on endometrial tissue in women with BRCA mutations: A randomised clinical trial
GEO Series GSE283656. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing.
Effect of high-dose glucocorticoid treatment on human brown adipose tissue activity: a randomised, double-blinded, placebo-controlled cross-over trial in healthy men
GEO Series GSE220158. Homo sapiens. 53 samples. Type: Expression profiling by high throughput sequencing.
Data from: A structured training program for health workers in intravenous treatment with fluids and antibiotics in nursing homes: a modified stepped-wedge cluster-randomised trial to reduce hospital admissions
Objectives: Hospitalization is potentially detrimental to nursing home patients and resource demanding for the specialist health care. This study assessed if a brief training program in administrating intravenous fluids and antibiotics in nursing homes could reduce hospital transfers and ensure high quality care locally. Design: A pragmatic and modified cluster randomized stepped-wedge trial with randomization on nursing home level. Participants: 330 cases in 296 nursing home residents from 30 nursing homes were included. Cases were patients provided intravenous antibiotics or intravenous fluids, in nursing home or hospital. Primary outcome was localization of treatment, secondary outcomes were number of days treated, days of hospitalization among admitted patients, type of antibiotics used and 30-day mortality. Intervention: The nursing homes sequentially received a one-day educational program for the health workers including theory and practical training in intravenous treatment of dehydration and infection, run by two skilled nurses. After completing the training program, the nursing homes had competence to provide intravenous treatment locally. Results: The intervention had a highly significant effect on treatment in nursing homes (OR 8.35, 2.08 to 33.6; P<0.01, or RR 2.23, 1.48 to 2.56). The number treated in nursing homes was stable over time; the number treated in hospital gradually decreased (chi square for trend P< 0.001). Among patients receiving intravenous antibiotics in the nursing homes, 50 (46%) died within 30 days, compared to 30 (36%) treated in the hospital (P=0.19). Among patients receiving intravenous fluids locally, 21 (19%) died within 30 days, compared to 2 (8%) in the hospital group (P=0.34). Mortality was associated with reduced consciousness and elevated c-reactive protein. Conclusions: A brief educational program delivered to nursing home personnel was feasible and effective in reducing acute hospital admissions from nursing homes for treatment of dehydration and infections.
Data from: The effect of funding sources on donepezil randomised controlled trial outcome: a meta-analysis
Objective: To investigate whether there is a difference in the treatment effect of donepezil on cognition in Alzheimer disease between industry-funded and independent randomised controlled trials. Design: Fixed effects meta-analysis of standardised effects of donepezil on cognition as measured by the Mini Mental State Examination and the Alzheimer's Disease Assessment Scale-cognitive subscale. Data sources: Studies included in the meta-analyses reported in the National Institute for Health and Care Excellence (NICE) technical appraisal 217 updated with new studies through a PubMed search. Eligibility criteria: Inclusion criteria were double-blind, placebo-controlled trials of any length comparing patients diagnosed with probable Alzheimer disease (according to the NINCDS-ADRDA/DSM-III/IV criteria) taking any dosage of donepezil. Studies of combination therapies (eg, donepezil and memantine) were excluded, as were studies that enrolled patients with a diagnosis of Alzheimer disease associated with other disorders (eg, Parkinson's disease and Down's syndrome). Results: Our search strategy identified 14 relevant trials (4 independent) with suitable data. Trials sponsored by pharmaceutical companies reported a larger effect of donepezil on standardised cognitive tests than trials published by independent research groups (standardised mean difference (SMD)=0.46, 95% CI 0.37 to 0.55 vs SMD=0.33, 95% CI 0.18 to 0.48, respectively). This difference remained when only data representing change up to 12 weeks from baseline were analysed (industry SMD=0.44, 95% CI 0.34 to 0.53 vs independent SMD=0.35, 95% CI 0.18 to 0.52). Analysis revealed that the effect of funding as a moderator variable of study heterogeneity was not statistically significant at either time point. Conclusions: The effect size of donepezil on cognition is larger in industry-funded than independent trials and this is not explained by the longer duration of industry-funded trials. The lack of a statistically significant moderator effect may indicate that the differences are due to chance, but may also result from lack of power.
Data from: The effect of a transient immune activation on subjective health perception in two placebo controlled randomised experiments
Background Patient-reported outcomes predict mortality and play increasingly important roles in care, but factors that modify central measures such as health ratings have been little investigated. Building on designated immune-to-brain pathways, we aimed to determine how a short-term induced inflammation response impacts self-reported health status. Methods Lipopolysaccharide injections were used to provoke acute systemic inflammatory responses in healthy men and women and were compared to placebo in two double-blind randomized experiments. In Experiment 1, 8 individuals (mean 24 years; SD=3.7) received lipopolysaccharide 0.8 ng/kg once and placebo once in a cross-over design, and in Experiment 2, 52 individuals received either lipopolysaccharide 0.6 ng/kg or placebo once in a non-cross-over design (28.6 years; SD=7.1). Main outcomes were perceived health (general and current), sickness behaviour (like fatigue, pain and negative affect), and plasma interleukin (IL)-6, IL-8 and TNF-α, before and after injection. Results Compared to placebo, lipopolysaccharide lead to a deterioration in both self-rated general (Experiment 1, b=1.88 for 0.8 ng/kg) and current health (Experiment 1 b=-3.00; and Experiment 2 b=-1.79) 1.5h after injection (p's<0.01), effects that remained after 4.5 to 5 hours (p's<0.05). The effect on current health in Experiment 2 was mediated by increased inflammation and sickness behaviour in response to lipopolysaccharide injection (β=-0.28, p=0.01). Conclusion Health is drastically re-evaluated during inflammatory activation. The findings are consistent with notions that inflammation forms part of health-relevant interoceptive computations of bodily state, and hint at one mechanism as to why subjective health predicts longevity.
Data from: Prevention of surgical site infection in lower limb skin lesion excisions with single dose oral antibiotic prophylaxis: a prospective randomised placebo-controlled double-blind trial
Objectives: To determine the effectiveness of a single perioperative prophylactic 2 g dose of cephalexin in preventing surgical site infection (SSI) following excision of skin lesions from the lower limb. Design: Prospective double-blinded placebo-controlled trial testing for difference in infection rates. Setting: Primary care in regional North Queensland, Australia. Participants: 52 patients undergoing lower limb skin lesion excision. Interventions: 2 g dose of cephalexin 30–60 min before excision. Main outcome measures: Incidence of SSI. Results: Incidence of SSI was 12.5% (95% CI 2.7% to 32.4%) in the cephalexin group compared with 35.7% (95% CI 18.6% to 55.9%) in the placebo group (p=0.064). This represented an absolute reduction of 23.21% (95% CI −0.39% to 46.82%), relative reduction of 65.00% (95% CI −12.70% to 89.13%) and number-needed-to-treat of 4.3. Conclusions: Administration of a single 2 g dose of cephalexin 30–60 min before skin lesion excision from the lower limb may produce a reduction in the incidence of infection; however, this study was underpowered to statistically determine this. Trial registration number: ACTRN12611000595910.
Randomised material parameter impedance dataset of piezoelectric rings (RaPIDring)
<h1>Version notes</h1> <p>This updated version uses larger ranges for the material parameters to account for a wider range of samples. Further, an erroneous boundary condition in the simulation model used to generate the data set in the previous version has been fixed.</p> <h1>Description of the dataset</h1> <p>This dataset contains the results of 301008 finite-element simulations of the complex, frequency-dependent electrical impedance of a piezoelectric ring with randomised material parameters. Each impedance consists of 2000 samples in the frequency domain up to 8 MHz. We assume the sample to be dielectric, thus the impedance a frequency 0 Hz is infinite. The piezoelectric ring has an outer radius of 6.35 mm an inner radius of 2.6 mm and a thickness of 1 mm. The transverse isotropic material parameters are sampled from independent uniform distributions with ranges that are intended to represent the behaviour of different piezoceramic materials. The parameters of the Rayleigh damping model (alpha_M and alpha_K) are sampled from a logarithmic distribution to account for the larger parameter range.</p> <table> <tbody> <tr> <td><strong>Parameter </strong></td> <td><strong>Min</strong></td> <td><strong>Max</strong></td> <td><strong>Unit </strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>c11</td> <td>110</td> <td>165</td> <td>GPa</td> <td>Elastic stiffness</td> </tr> <tr> <td>c12</td> <td>60 </td> <td>150</td> <td>GPa</td> <td>Elastic stiffness</td> </tr> <tr> <td>c13</td> <td>60 </td> <td>100 </td> <td>GPa</td> <td>Elastic stiffness</td> </tr> <tr> <td>c33</td> <td>110 </td> <td>140</td> <td>GPa</td> <td>Elastic stiffness</td> </tr> <tr> <td>c44</td> <td>18 </td> <td>30 </td> <td>GPa</td> <td>Elastic stiffness</td> </tr> <tr> <td>eps11 </td> <td>3</td> <td>12</td> <td>nF/m</td> <td>Dielectric permittivity</td> </tr> <tr> <td>eps33 </td> <td>4</td> <td> 8</td> <td>nF/m</td> <td>Dielectric permittivity</td> </tr> <tr> <td>e15</td> <td>6</td> <td>20</td> <td>C/m^2</td> <td>Piezoelectric coupling</td> </tr> <tr> <td>e31</td> <td>1</td> <td>7.5</td> <td>C/m^2</td> <td>Piezoelectric coupling</td> </tr> <tr> <td>e33</td> <td>8</td> <td>20</td> <td>C/m^2</td> <td>Piezoelectric coupling</td> </tr> <tr> <td>alpha_M</td> <td>0.2</td> <td>150 </td> <td>1/ms</td> <td>Mass-proportional damping</td> </tr> <tr> <td>alpha_K</td> <td>10</td> <td>1000</td> <td>ps </td> <td>Stiffness-proportional damping</td> </tr> <tr> <td>density</td> <td>7600</td> <td>7850</td> <td>kg/m^3</td> <td>Density</td> </tr> </tbody> </table> <h1>Files</h1> <p>The dataset contains the following files:</p> <ul> <li><strong>dataset.hdf5</strong>: The main dataset file in HDF5 format. Refer to the next section on how to load the dataset.</li> <li><strong>simulation.xml</strong>: The file describing the parameters of the finite element simulation. This file can be used with <a href="https://www.opencfs.org/">openCFS</a> along with the mesh and material file to simulate the behaviour of the piezoelectric ceramic in the frequency domain. This simulation file was used with randomised material parameters to generate the dataset.</li> <li><strong>material.xml</strong>: The material file used for the simulation with exemplary material parameters values.</li> <li><strong>ring.geo</strong>: The gmsh geometry file with the axisymmetric representation of the piezoelectric ring.</li> <li><strong>ring.msh</strong>: The mesh file generated with gmsh using the ring.geo file.</li> </ul> <h1>Loading the dataset</h1> <p>The dataset is stored as a HDF5 file, which can be opened with all libraries that support that format, e.g. in Python using the h5py library:</p> <p><code>import h5py</code></p> <p><code># Open the dataset in read mode.</code><br><code>file = h5py.File("dataset.hdf5", "r")</code></p> <p><code># Impedances as a 301008 x 2000 array of complex numbers.</code><br><code>impedances = file["impedances"]</code><br><code># Material parameter values as a 301008 x 13 array of real numbers.</code><br><code>parameters = file["parameters"]</code><br><code># Frequency vector of the impedance with length 2000.</code><br><code>frequencies = file["meta"]["frequencies"]</code><br><code># 13 strings with the identifiers of the material parameters.</code><br><code>parameter_labels = file["meta"]["parameter_labels"]</code></p> <h1>Simulating impedances</h1> <p>To generate a result for the electrical impedance using the supplied simulation files, download and install openCFS and call the executable with the simulation.xml, but omit the file extension, e.g.:</p> <p><code>cfsbin.exe simulation</code></p> <p>The path to the executable of openCFS will depend on your operating system and installation. Running the simulation will result in the creation of several files and folders. Among those files will be the result for the electric charge on one of the electrodes of the sample, which will be placed in the 'history' subfolder. We can determine the current by taking the time derivative of the charge and already know the voltage because we excited the piezoceramic with an electric potential of 1 V in the simulation. Because the simulation is conducted in the frequency regime, all we have to do is to divide voltage by current to get the frequency dependent electrical impedance. The loading of the result and calculation of the impedance is implemented in the following Python script as an example:</p> <p><code>import numpy as np</code></p> <p><code># Load result file for electric charge</code><br><code>result_path = 'history/simulation-elecCharge-surfRegion-ground.hist'</code><br><code>data = np.loadtxt(result_path)</code></p> <p><code>frequency = data[:, 0]</code><br><code># Convert polar representation from file to complex numbers.</code><br><code>charge = data[:, 1] * np.exp(1j * 2 * np. pi / 360 * data[:, 2])</code></p> <p><code># Excitation potential is 1 V in simulation.</code><br><code>potential = 1</code><br><code># Determine impedance by applying Z = V / I = V / (j omega Q).</code><br><code>impedance = potential / (1j * 2 * np.pi * frequency * charge)</code></p>
Impact evaluation of the efficacy of different doses of vitamin D supplementation during pregnancy on pregnancy and birth outcomes: a randomised, controlled, dose comparison trial in Pakistan
<p><strong>Abstract</strong></p> <p><strong>Background</strong></p> <p>Vitamin D deficiency during pregnancy is a public health problem in Pakistan and is prevalent among most women of reproductive age in the country. Vitamin D supplementation during pregnancy is suggested to prevent adverse pregnancy outcomes and vitamin D deficiency in both the mother and her newborn.</p> <p><strong>Conclusion</strong></p> <p>The evidence provided in our study indicates that vitamin D supplementation of 4000 IU/day was more effective in reducing vitamin D deficiency among pregnant women and in improving serum 25(OH)D levels in mothers and their neonates compared with 2000 IU/day and 400 IU/day.</p>
A Comparison of Intrapartum Epidural Fixation Devices: A Randomised Controlled Trial
ClinicalTrials.gov study NCT02131090. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Fat Grafting in Reducing Recurrence in Patients With Healed Venous Ulcers A Prospective Randomised Clinical Pilot Study
ClinicalTrials.gov study NCT05239416. IPD Sharing: NO. Countries: 1. Publications: 0.
A Randomised Clinical Investigation to Assess Efficacy of Low Volume Transanal Irrigation by Qufora® IrriSedo MiniGo Versus Conservative Treatment for Low Anterior Resection Syndrome Patients
ClinicalTrials.gov study NCT06923150. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety and Efficacy of a Novel Hydrophobic Acrylic IOL - iPure: a Randomised Study
ClinicalTrials.gov study NCT04329754. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Combined General and Spinal Anesthesia Compared to General Anesthesia During Laparoscopic Surgery : a Randomised Controlled Trial
ClinicalTrials.gov study NCT06892600. IPD Sharing: NO. Countries: 1. Publications: 0.
Suction Drain Versus the Use of Adaptive Skin Sutures After Mastectomy ± Axillary Lymphadenectomy; a Prospective Randomised Study
ClinicalTrials.gov study NCT01509781. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of Inspiratory Muscle Training on Functional Gain in Cerebral Palsy: A Randomised Controlled Trial
ClinicalTrials.gov study NCT07041593. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.