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1,813 results for “outcome study”
Data from: Studying long-term, large-scale grassland restoration outcomes to improve seeding methods and reveal knowledge gaps
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Outcomes and predictors of in-hospital mortality among patients admitted to the intensive care or step-down unit after a rapid response team activation: a retrospective cohort study
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Supplemental material for: Clinical and neuroimaging outcomes of direct endovascular thrombectomy vs. bridging therapy in large vessel occlusion patients: a secondary analysis of SELECT cohort study
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Data from: Association of rule of law and health outcomes: an ecological study
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ARGUS study - clinical and bacteriological outcomes dataset
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Supplementary material 2 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Landsat Products Used
Figure 3 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 3 Mental health prescriptions vs winter-greenness at 250 m from home for pure-urban Data Zones beanplot (Kampstra 2008). Horizontal lines are individual values. Curves are density of data points at values. Thicker horizontal line is average for group.
Supplementary material 1 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
ESRI Shape file of SIMD DataZones
Figure 2 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 2 Sampling of a single data point, postcode EH8 9AJ (orange dot) within Data Zone S01008671 (black outline). The 100, 250 and 500 metre buffer zones are shown in orange. Blue dots are other sampling points. Green shading represents greenness (NDVI).
Figure 4 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 4 Mental health prescriptions vs seasonal difference at 250 m from home for pure-urban Data Zones beanplot (Kampstra 2008). Horizontal lines are individual values. Curves are density of data points at values. Thicker horizontal line is average for group.
Figure 1 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 1 An area of south central Edinburgh illustrating distribution of sample points within Data Zones. Background is OpenStreetMap. Black outlines are DataZone boundaries. Blue dots are small user postcode locations that are used for sampling. Green shading represents summer-greenness (NDVI).
Supplementary material 4 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Results Data Tables
Supplementary material 3 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Small User Postcodes
A review of response rates over time in registry-based studies using patient-reported outcome measures
<p class="Brdtekst1"><b>Objectives</b>: Gain an overview of expected response rates (RRs) to patient-reported outcome measures (PROMs) in clinical quality registry-based studies and long-term cohorts in order to better evaluate the validity of registries and registry-based studies. Examine the trends of RRs over time and how they vary with study type, questionnaire format, and the use of reminders.</p> <p class="Brdtekst1"><b>Design</b>: Literature review with systematic search.</p> <p class="Brdtekst1"><b>Data</b> <b>sources</b>: PubMed, MEDLINE, EMBASE, kvalitetsregistre.no, kvalitetsregister.se, and sundhed.dk.</p> <p class="Brdtekst1"><b>Eligibility criteria</b>: Articles in all areas of medical research using registry-based data or cohort design with at least two follow-up time-points collecting PROMs and reporting RRs. Annual reports of registries including PROMs that report RRs for at least two time-points.</p> <p class="Brdtekst1"><b>Primary outcome measure</b>: Response rates to PROMs.</p> <p class="Brdtekst1"><b>Results</b>: A total of 10 articles, 12 registry reports, and 6 registry articles were included in the review. The overall RR at baseline was 75% ±22.1 but decreased over time. Cohort studies had a markedly better RR (baseline 97% ±4.7) compared to registry-based data at all time points (baseline 72% ±21.8). For questionnaire formats, paper had the highest RR at 86% ±19.4, a mix of electronic and paper had the second highest at 71% ±15.1, and the electronic-only format had a substantially lower RR at 42% ±8.7. Sending one reminder (82% ±16.5) or more than one reminder (76% ±20.9) to non-responders resulted in a higher RR than sending no reminders (39% ±6.7).</p> <p class="Brdtekst1"><b>Conclusions</b>: The large variation and downward trend of RRs to PROMs in cohort and registry-based studies are of concern and should be assessed and addressed when using registry data in both research and clinical practice.</p>
Attitudes, Stressors and Work Outcomes related to the COVID-19 Pandemic among Dental Assistants in Germany: A cross-sectional Study
<p>This dataset stems from across-sectional study conducted early April 2020 among n=1481 dental assistants from entire Germany during the peak of the SARS-CoV-2 pandemic. The study questionnaire was distributed online with help of the Association of Medical Professionals on their social media channels. The collected data provides insights into major stressors among dental assistants at the peak of the pandemic in Germany and allows for analysis of possible determinants of major stressors via logistic regression analysis. No funding was obtained for this study. </p> <p> </p> <p><strong>Dataset information: </strong></p> <p>File type: SPSS file (.sav)</p> <p>Study type: Cross-sectional study</p> <p>Population: Dental assistants in Germany</p> <p>Study period: April 7th-April 14th, 2020</p> <p>Number of participants: 1481</p> <p>Research question: Investigation of attitudes, stressors and work outcomes related to the COVID-19 pandemic among dental assistants in Germany</p> <p>Missing values: None </p> <p>Original variables: v_982, v_1, v_2, v_3, v_5, v_6, v_7, v_10, v_11, v_13, v_14, v_21, v_22, v_23, v_24, v_26, v_27, v_28, v_29, v_31, v_32, v_33, v_40, v_41, v_42, v_43, v_46, v_47, v_48, v_49, v_52, v_57, Beruf_ZFA</p> <p>Modification of variables: All other variables were calculated from the original variables bei either rescaling or dichotomization. </p> <p>Dichotomization of attitudes, stressors and work outcomes: <br> Answer options "Strongly disagree" and "Disagree" were labelled as "no"<br> Answer options "Agree" and "Strongly Agree" were labelled as "yes"</p> <p>Dichotomization of self-rated health:<br> Answer options "Very bad", "Bad" and "Moderate" were labelled as "Bad".<br> Answer options "Good" and "Very good" were labelled as "Good". </p> <p>Rescaling of the variable "Where do you currently work?":<br> Participants who stated "dental practice" as their place of work were labelled as working in a "dental practice". Additionally, all free text answers (v_10 and v_11) were screened and answers "Zahnarztpraxis für Kinder", "Große Zahnarztpraxis" and "Zahnarztpraxis ausschließlich Kinder" were also added to the answer option "dental practice". </p> <p> </p> <p> </p>
Comparison of outcomes of neurosurgical operations performed before and during the COVID-19 pandemic: a matched cohort study
<p><strong>Objective</strong><br> To determine how the first wave of the COVID-19 pandemic affected outcomes for all operatively managed neurosurgical patients, not only those positive for SARS-CoV-2.</p> <p><strong>Design</strong><br> Matched cohort (pairwise method).</p> <p><strong>Setting</strong><br> A single tertiary neurosurgical referral centre at a large UK Major Trauma Centre.</p> <p><strong>Participants</strong><br> During the first COVID-19 wave, 231 neurosurgical cases were performed. These cases were matched to cases from 2019. Cases were matched for age (±10 years), primary pathology and surgical procedure. Cases were excluded from analysis if either the age could not be matched to within 10 years, or the primary pathology or procedure was too unique. After exclusions, 191 cases were included in final analysis</p> <p><strong>Outcome measures</strong><br> Primary outcomes were 30-day mortality and postoperative pulmonary complications. Secondary outcomes included Glasgow Outcome Score (GOS) on discharge, length of stay (LoS), operative and anaesthetic times and grade of primary surgeon. An exploratory outcome was the SARS-CoV-2 status of patients.</p> <p><strong>Results</strong><br> There was no significant difference between the pandemic and matched cohorts in 30-day mortality, pulmonary complications, discharge GOS, LoS, operative or anaesthetic times. There was a significant difference in the variation of grade of primary surgeon. Only 2.2% (n=5) of patients had a SARS-CoV-2 positive swab.</p> <p><strong>Conclusion</strong><br> During the first UK wave of the COVID-19 pandemic, the mortality, morbidity and functional outcomes of operatively managed neurosurgical patients at University Hospitals Birmingham were not significantly affected compared with normal practice. The grade of primary surgeon was significantly more senior and adds to the growing body of evidence that demonstrates how the pandemic has negatively impacted UK surgical training. Mixing COVID-19 positive, unknown and negative cases did not significantly impact on outcomes and indicates that further research is required to support the implementation of evidence-based surgical pathways, such as COVID-light sites, throughout the next stage of the pandemic.</p>
Data from: The influence of the fetal leg position on the outcome in vaginally intended deliveries out of breech presentation at term – a FRABAT prospective cohort study
<p>Introduction: Vaginal delivery out of a breech presentation in pregnancies at term are being re-implemented into clinical practice. Still, recommendations regarding exclusion criteria leading to caesarean sections are based on expert opinions, not on evidence based guidelines. The difference in perinatal outcome and course of delivery in births with babies in frank breech position and babies in incomplete or complete breech presentation never has been investigated in a large patient cohort.</p> <p>Objective: To compare perinatal outcome of vaginally intended breech deliveries between births out of frank breech position and incomplete/complete breech<br> presentation. Design: Prospective cohort study Sample: 884 women at term with a singleton in frank breech presentation (FB) and 284 women with incomplete or complete breech presentation (CB) intending vaginal birth between January 2004 and December 2018</p> <p>Methods: Maternal and fetal outcome was compared between groups using Pearson's Chi Square test. Birth duration parameters were analysed using logistic regression. Results: There were no differences in cesarean section rates (FB: 25.1%, CB 22.2%, p=0.317). Short-term fetal morbidity did not differ between groups (FB: 2.5%, CB: 2.8%, p=0.761). In vaginal deliveries the necessity to perform manual assistance was significantly more frequent in deliveries of infants in CB (FB: 39.9%, CB: 51.6%, p= 0.0013). Cord loops (FB: 10.1%, CB: 18.0%, p=0.0004) and cesarean sections necessary because of cord prolapses (FB: 1.4%, CB 8.1%, p=0.005) were significantly more often in deliveries with babies in CB.</p> <p>Conclusion: This study provides evidence, that perinatal morbidity is not associated with the fetal leg posture in vaginally intended breech deliveries. The higher risk for the need of manual assistance during vaginal birth in deliveries of babies out of complete or incomplete breech presentation suggests that obstetrical departments reimplementing the vaginal breech in their repertoire might start with births of babies out of frank breech presentation.</p>
Data from: The relationship between risk of bias criteria, research outcomes, and study sponsorship in a cohort of preclinical thiazolidinedione animal studies: a meta-analysis
Introduction: There is little evidence regarding the influence of conflicts of interest on preclinical research. This study examines whether industry sponsorship is associated with increased risks of bias and/or effect sizes of outcomes in published preclinical thiazolidinedione (TZD) studies. Methods: We identified preclinical TZD studies published between January 1, 1965, and November 14, 2012. Coders independently extracted information on study design criteria aimed at reducing bias, results for all relevant outcomes, sponsorship source and investigator financial ties from the 112 studies meeting the inclusion criteria. The average standardized mean difference (SMD) across studies was calculated for plasma glucose (efficacy outcome) and weight gain (harm outcome). In subgroup analyses, TZD outcomes were assessed by sponsorship source and risk of bias criteria. Results: Seven studies were funded by industry alone, 17 studies funded by both industry and non-industry, 49 studies funded by non-industry alone and 39 studies had no disclosures. None of the studies used sample size calculations, intention-to-treat analyses, blinding of investigators or concealment of allocation. Most studies reported favourable results (88 of 112) and conclusions (95 of 112) supporting TZD use. Efficacy estimates were significantly larger in six studies sponsored by industry alone (−3.41; 95% CI −5.21, −1.53; I2 = 93%) versus 42 studies sponsored by non-industry sources (−0.97; 95% CI −1.37, −0.56; I2 = 81%; p-value = 0.01). Harms estimates were significantly larger in four studies sponsored by industry alone (5.00; 95% CI 1.22, 8.77; I2 = 93%) versus 38 studies sponsored by non-industry sources (0.30; 95% CI −0.08, 0.68; I2 = 79%; p-value = 0.02). TZD efficacy and harms did not differ by disclosure of financial COIs or risks of bias. Conclusions: Industry-sponsored TZD animal studies have exaggerated efficacy and harms outcomes compared with studies funded by non-industry sources. There was poor reporting of COIs.
Long-term outcomes and prognostic factors in kidney transplant recipients in Jakarta, Indonesia: a cohort study
<p><strong>Objectives </strong>To determine the long-term survival rates and prognostic factors in kidney transplant (KT) recipients in Jakarta, Indonesia.</p> <p><strong>Design</strong> Retrospective cohort study.</p> <p><strong>Setting</strong> A KT centre in Jakarta.</p> <p><strong>Participants</strong> We enrolled 754 consecutive adult recipients who underwent KT between 2010 and 2020.</p> <p><strong>Main outcome measures </strong>Rates of 10-year patient, all-cause and death-censored graft survival and their prognostic factors in KT recipients.</p> <p><strong>Results </strong>The 10-year patient survival, all-cause survival and death-censored graft survival rates of KT recipients were 74%, 68% and 81%, respectively. The prognostic factors for poor patient survival were a pretransplant dialysis duration>24 months (HR 1.64, 95% CI, 1.08 to 2.49; p=0.02), cardiovascular disease (HR 1.59, 95% CI, 1.11 to 2.31; p=0.01), delayed graft function (DGF) (HR 4.94, 95% CI, 2.76 to 8.82; p<0.001), post-transplant infection (HR 2.63, 95% CI, 1.56 to 4.43; p<0.001) and acute rejection (HR 2.49, 95% CI, 1.20 to 5.15; p=0.01). All-cause graft survival was prognosticated by a pretransplant dialysis duration>24 months (HR 1.74, 95% CI, 1.15 to 2.47; p=0.007), cardiovascular disease (HR 1.65, 95% CI, 1.18 to 2.33; p=0.004), DGF (HR 5.39, 95% CI, 3.13 to 9.28; p<0.001), post-transplant infection (HR 2.46, 95% CI, 1.05 to 4.02; p<0.001) and acute rejection (HR 4.18, 95% CI, 2.23 to 7.84; p<0.001). Factors associated with poor death-censored graft survival were a pretransplant dialysis duration >24 months (HR 2.19, 95% CI, 1.32 to 3.63; p=0.002), cardiovascular disease (HR 1.65, 95% CI, 1.02 to 2.68; p=0.04) and acute rejection (HR 5.52, 95% CI, 2.80 to 10.83; p<0.001).</p> <p><strong>Conclusions </strong>The survival rates of KT recipients are prognosticated by pretransplant dialysis duration, cardiovascular disease, DGF, post-transplant infection and acute rejection. Stricter eligibility criteria for recipients, more sensitive cross-match testing methods and better infection management strategies may be beneficial for improving the survival rates.</p>
Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach
<p>Dataset for the accepted publication: "Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach"</p> <p> </p>
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.