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3,508 results for “Observation study”
Increasing Contribution of Adolescent Type 1 Diabetes Drives Incidence Rates in Poland - a 40-year-long Observational Study
<div> <div> <p><span><span>Aims/hypothesis</span></span><span><span>: </span><span>40-year-long longitudinal observation</span> <span>of long-term trends of type 1 diabetes</span><span> incidence</span><span> and prevalence</span> <span>in children </span><span>in Central P</span><span>o</span><span>land </span></span><span> </span></p> </div> <div> <p><span><span>Methods</span></span><span><span>: This was a prospective observational study performed </span><span>by </span><span>a reference </span><span>regional </span><span>center</span><span> for pediatric diabetes care for Lodz Province (currently 2</span><span>·</span><span>4M </span><span>inhabitants</span><span>, 360K children). </span><span>We </span><span>registered </span><span>e</span><span>ach case of new-onset </span><span>type 1 </span><span>diabetes </span><span>admitted</span> <span>to regional pediatric diabetes centers </span><span>between </span><span>the </span><span>years 1983 and 2022 in children between 0 and 14 </span><span>y.o.</span> <span>The diagnosis</span><span> was based on </span><span>currently </span><span>available guidelines</span><span>.</span> <span>C</span><span>ases of other types of diabetes (e.g.</span><span>,</span><span> monogenic) were excluded</span><span> upon identification from incidence and prevalence rates</span><span>. Yearly data on the at</span><span>-</span><span>risk</span> <span>population were </span><span>acquired</span><span> from Poland`s General Statistical Office. Sex-specific data </span><span>on population structure </span><span>were available from 1989 onwards.</span><span> </span></span><span> </span></p> </div> <div> <p><span><span>Results</span></span><span><span>: In the </span><span>analyzed</span> <span>period, </span><span>the </span><span>incidence rate</span><span> of type 1 diabetes</span><span> increased </span><span>tenfold </span><span>from 3</span><span>·</span><span>29/100</span><span>,</span><span>000 (95%CI: </span><span>1</span><span>·</span><span>85</span><span>-</span><span>4</span><span>·</span><span>73</span><span>) in 1983 to 3</span><span>2.43</span><span> (2</span><span>6</span><span>·</span><span>42-38</span><span>·</span><span>44</span><span>) in 2022, with </span><span>an </span><span>average annual percentage change of 5</span><span>·</span><span>73</span><span>% (95%CI: 4</span><span>·</span><span>9</span><span>9</span><span>%-6</span><span>·</span><span>44</span><span>%). Joinpoint analysis detected two distinct periods of increase</span><span>:</span> <span>rapid in 1983-200</span><span>5</span><span> (annual percentage increase </span><span>of </span><span>7</span><span>·</span><span>38</span><span>%</span><span>, 95%CI: </span><span>6</span><span>·</span><span>30</span><span>-1</span><span>0</span><span>·</span><span>52</span><span>%</span><span>) and </span><span>a </span><span>slower </span><span>one</span><span> in </span><span>200</span><span>5</span><span>-2022 (3</span><span>·</span><span>65</span><span>%</span><span>, 95%CI: -0</span><span>·</span><span>86</span><span>-</span><span>5</span><span>·</span><span>13</span><span>%</span><span>). </span><span>I</span><span>ncidence rates among the youngest children (0-4</span> <span>y.o.</span><span>) were significantly lower than in 5-9</span> <span>y.o.</span><span> (</span><span>β±</span><span>SE: -0</span><span>·</span><span>5</span><span>67</span><span>±</span><span>0</span><span>·</span><span>059</span><span>, p<0</span><span>·</span><span>0001</span><span>)</span><span> and 10-14</span> <span>y.o.</span><span> (</span><span>β±</span><span>SE: -0</span><span>·</span><span>520</span><span>±</span><span>0</span><span>·</span><span>0</span><span>60</span><span>, p<0</span><span>·</span><span>0001)</span><span>. </span><span>The </span><span>incidence </span><span>growth dynamic </span><span>for</span> <span>the two older groups showed </span><span>a </span><span>consistent </span><span>increase</span><span>, </span><span>whereas</span><span> the incidence in </span><span>0-4 year-olds</span><span> plateaued after 2007.</span> <span>Incidence rates varied </span><span>seasonally,</span><span> with the </span><span>most cases diagnosed </span><span>during the </span><span>winter months (December, January, </span><span>and </span><span>February</span><span>;</span> <span>mean difference from remaining seasons of 29</span><span>±11</span><span>·</span><span>6 percentage points</span><span>, p</span><span><0</span><span>·</span><span>0001</span><span>). </span><span>Corresponding with increasing incidence rate, estimated prevalence of type 1 diabetes increased over the years and reached </span><span>177</span><span>·</span><span>21</span><span>/100</span><span>,</span><span>000 (95%CI: 163</span><span>·</span><span>18-191</span><span>·</span><span>24)</span><span> for children 0-14 </span><span>y.o.</span><span>,</span><span> and</span><span> </span> <span>1</span><span>7</span><span>·</span><span>11</span> <span>(95%CI:</span><span> 9</span><span>·</span><span>2</span><span>-</span><span>2</span><span>5</span><span>·</span><span>02</span><span>),</span><span> 1</span><span>90</span><span>·</span><span>54</span><span> (95%CI:</span> <span>16</span><span>5</span><span>·</span><span>03</span><span>-</span><span>21</span><span>5</span><span>·</span><span>75</span><span>),</span><span> 2</span><span>38</span><span>·</span><span>73</span><span> (95%CI: </span><span>21</span><span>1</span><span>·</span><span>7</span><span>-26</span><span>5</span><span>·</span><span>76</span><span>)</span><span> for 0-4</span><span>,</span><span> 5-9</span><span>, </span><span>and 10-14</span> <span>y.o.</span><span>, respectively.</span></span><span> </span></p> </div> <div> <p><span><span>Conclusion/i</span><span>nterpretation</span></span><span><span>: </span><span>Over the past 40 years, the incidence of </span><span>type 1 diabetes</span><span> in </span><span>children in </span><span>Central Poland </span><span>has increased significantly, but the rate of increase </span><span>appears to be</span><span> slowing.</span><span> As</span> <span>majority</span><span> of patients with type 1 diabetes are 10 years old or older, with the </span><span>most new</span><span> cases occurring in that age group</span><span> the healthcare systems should prepare for care of young adults who are extensive users of new diabetes technologies</span><span>.</span></span><span> </span></p> </div> </div>
Dataset from "Sports activity reduces the risk of progression and bracing: an observational study of 511 Risser 0–2 adolescents with idiopathic scoliosis"
<p>Dataset from a still non-published study titled "Sports activity reduces the risk of progression and bracing: an observational study of 511 Risser 0–2 adolescents with idiopathic scoliosis"</p>
Use of GLP1 receptor agonists in early pregnancy and reproductive safety: a multicentre, observational, prospective cohort study based on the databases of six Teratology Information Services
Open the record for dataset details and reuse information.
Quality of life in patients with multiple sclerosis and caregivers. Predictive factors: An observational study
<p>Multiple sclerosis (MS) is a neurodegenerative and autoimmune disease, which can significantly affect not only the quality of life (QoL) of affected people but also that of their careers who care for them. The main objective of this study was to assess the extent to which the patient's clinical, cognitive and psychological conditions affect his or her QoL and that of the caregiver.</p> <p>Methods</p> <p>We examined a number of patients with clinically defined MS. In this study 78 patient-assistant pairs were enrolled.</p> <p>Results</p> <p>Our results showed a significant correlation between the change in the patient's state of health and the quality of life of caregivers, especially in specific social and work areas. In addition, the age and the physical and mental health of patients emerged as predictive factors on the quality of caregivers.</p> <p>Conclusions</p> <p>This study has shown that degenerative and chronic diseases, such as multiple sclerosis, can be predictors of stress and poor quality of life for careers.</p> <p>Future studies should further clarify the impact that the psychological conditions of MS patients have on the quality of life of careers.</p>
Underlying data for Serum soluble angiotensin-converting enzyme 2 level and its potential association with renin-angiotensin-aldosterone system in non-hypertensive covid-19 patients: an observational study
<p>Underlying data for Serum soluble angiotensin-converting enzyme 2 level and its potential association with the renin-angiotensin-aldosterone system in non-hypertensive covid-19 patients: an observational study</p>
On the importance of additional behavioral observation in behavioral psychopharmacology research: a case study on agomelatine's effects on feedback sensitivity in probabilistic reversal learning test in rats
<p>Dataset to the manuscript entitled: On the importance of additional behavioral observation in behavioral psychopharmacology research: a case study on agomelatine's effects on feedback sensitivity in probabilistic reversal learning test in rats.</p>
Prospective Observational Study on Plerixafor After Chemotherapy
ClinicalTrials.gov study NCT01700608. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Retrospective Observational Comparison Study Between Ustekinumab and Tofacitinib as Third Line Therapy in a Multicenter Cohort of Patients With Refractory Ulcerative Colitis.
ClinicalTrials.gov study NCT05728008. IPD Sharing: Not stated. Countries: 1. Publications: 0.
French Lumbar Total Disk Replacement Observational Study
ClinicalTrials.gov study NCT02381574. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Treatment of Unresectable Liver Cancer With E-TACE Combined With Donafenib：A Prospective, Single-arm, Multicenter, Observational Study
ClinicalTrials.gov study NCT07180459. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observational Study of Vision Improvement in Late Stage Dry AMD Patients
ClinicalTrials.gov study NCT04349254. IPD Sharing: NO. Countries: 1. Publications: 0.
DISPARITY Study: An Observational Evaluation of Characteristics of Participants in Clinical Studies
ClinicalTrials.gov study NCT06486402. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
An Observational Study of Mircera (Methoxy Polyethylene Glycol-Epoetin Beta) in Patients With Chronic Kidney Disease in Pre-Dialysis or Dialysis
ClinicalTrials.gov study NCT01309295. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observational Study of Blood Pressure Measurements and Continuous Dialysis
ClinicalTrials.gov study NCT01286506. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observational Study, Use of Canakinumab Administered Subcutaneously in the Treatment COVID-19 Pneumonia
ClinicalTrials.gov study NCT04348448. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prediction of Vascular Events After Major Non-Cardiac Surgery : an Observational Prospective Cohort Study
ClinicalTrials.gov study NCT05812248. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observational Study to Evaluate the Safety and Efficacy of NovoMix® 70 in Type 2 Diabetes
ClinicalTrials.gov study NCT00704223. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Post-marketing Observational Database Study Monitoring the Safety of CecolinⓇ
ClinicalTrials.gov study NCT06824896. IPD Sharing: NO. Countries: 1. Publications: 0.
A Prospective, Multicenter, Observational Cohort Study Assessing the Efficacy and Safety of Radiotherapy-sensitized Immunotherapy in Advanced Breast Cancer
ClinicalTrials.gov study NCT06776861. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Extension at 10 Years of the: "Observational Study Evaluating Efficacy and Costs of Secondary Prophylaxis vs On-demand Therapy With Kogenate Bayer in Patients With Severe Haemophilia A."
ClinicalTrials.gov study NCT02581969. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
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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.