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470
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ShareScore release 0.9.0
Dataset results
470 results for “prediction of disease”
Postnatal Subventricular Zone Injury Predicts Motor Impairment in Preterm Infants Following Intestinal Disease
GEO Series GSE254087. Mus musculus. 2 samples. Type: Other.
Postnatal Subventricular Zone Injury Predicts Motor Impairment in Preterm Infants Following Intestinal Disease
GEO Series GSE243778. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy "
<p>This record contains raw data related to article “Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy"</p> <p>Abstract:</p> <p><strong>Background: </strong> to find clinical features that can predict prognosis in patients with oligometastatic disease treated with stereotactic body radiotherapy (SBRT).</p> <p><strong>Material and methods: </strong> Patients with less than 5 metastases in less than 3 different body sites were included in the analysis. Various clinical and treatment parameters were analyzed to create a Cox proportional hazard model for Overall Survival (OS). Subsequently, significant variables were used to create a score.</p> <p><strong>Results: </strong> 997 patients were analyzed. Median OS was 2.61 years, 1 and 3 years OS was respectively 85% and 43%. Location of the primary tumor, performance status, site of irradiated metastases, presence of extratarget non irradiated lesions and RT dose were significant prognostic factors for OS. These parameters were used to create a score and to distinguish three different classes, with median OS of 5.67 years in low risk, 2.47 years in intermediate risk and 1.82 years in high risk group.</p> <p><strong>Conclusion: </strong> moving from easily accessible clinical parameters, a score was created to help the physician's decision about the better treatment or combination of treatments for the individual patient.</p>
Dataset for "Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer's Disease"
<p>The dataset contains the numerical data described and analyzed in the paper "Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer’s Disease", Sighinolfi et al., J Alzheimers Dis, 2024, doi: 10.3233/JAD-231192.</p> <p>It consists of the measures, performed using the Morphologist software, of the morphological properties of brain sulci in 87 subjects, as described in the paper.</p> <p>If interested in the data, please contact the Corresponding Author: <br>Prof. Caterina Tonon<br>caterina.tonon@unibo.it</p>
Colocalization of GWAS and molecular QTL signals in human vascular smooth muscle cells predict candidate causal genes for coronary artery disease and vascular disorders
GEO Series GSE198544. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Combination testing using a single MSH5 variant alongside HLA haplotypes improves coeliac disease risk prediction in the Polish population
GEO Series GSE65424. Homo sapiens. 15 samples. Type: SNP genotyping by SNP array.
Plasma levels of microRNA let-7c-5p may predict the risk of acute chest syndrome in patients with sickle cell disease
GEO Series GSE291666. Homo sapiens. 29 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Data set for "Hemoglobin, albumin, lymphocyte, and platelet score: A risk prediction tool for incidence and mortality in diabetic kidney disease patients with type 2 diabetes "
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Appropriate use criteria implementation with modified Haller index for predicting stress echocardiographic results and outcome in a population of patients with suspected coronary artery disease
<p>Raw data related to the article</p> <p>Abstract<br> The hypothesis that modified Haller index (MHI) integration with the existing appropriate use criteria (AUC) categories may<br> predict exercise stress echocardiography (ESE) results and outcome of patients with suspected coronary artery disease (CAD)<br> has never been previously investigated. We retrospectively analyzed 1230 consecutive patients (64.8 ± 13.1 years, 58.9%<br> men) who underwent ESE for suspected CAD between February 2011 and September 2019 at our institution. MHI (chest<br> transverse diameter over the distance between sternum and spine) was assessed in all patients. A true positive (TP) ESE was<br> a positive ESE with obstructive CAD according to subsequent coronary angiography. During follow-up time, we evaluated<br> the occurrence of any of the following: (1) cardiovascular (CV) hospitalizations; (2) Cardiac death or sudden death. Overall,<br> 734 (59.7%), 357 (29.0%) and 139 (11.3%) indications for ESE were classified as appropriate (Group 1), rarely appropriate<br> (Group 2) and which may be appropriate (Group 3), respectively. A funnel chest (defined by an MHI > 2.5) was detected<br> in 30.3%, 82.1% and 49.6% of Groups 1, 2 and 3 subjects, respectively (p < 0.0001). On multivariate logistic regression<br> analysis, male sex (OR 1.41, 95%CI 1.02–2.03, p = 0.01) and type-2 diabetes (OR 3.63, 95%CI 2.49–5.55, p = 0.001) were<br> directly correlated to a TP ESE, while “rarely appropriate” indication for ESE with MHI > 2.5 (OR 0.16, 95%CI 0.11–0.22,<br> p < 0.0001) showed a significant inverse correlation with the outcome. During a mean follow-up of 2.5 ± 1.9 years, 299 CV<br> events occurred: 76.4%, 3.5% and 20.1% in Groups 1, 2 and 3, respectively. On multivariate Cox regression analysis, smoking<br> (HR 1.33, 95%CI 1.19–1.48), type 2 diabetes (HR 2.28, 95%CI 1.74–2.97), dyslipidemia (HR 3.51, 95%CI 2.33–5.15), betablockers<br> (HR 0.55, 95%CI 0.41–0.75), statins (HR 0.60, 95%CI 0.45–0.80), peak exercise average E/e′ ratio (HR 1.08, 95%CI<br> 1.06–1.09), positive ESE (HR 3.12, 95%CI 2.43–4.01) and finally “rarely appropriate” indication for ESE with MHI > 2.5<br> (HR 0.15, 95%CI 0.08–0.23) were independently associated with CV events. The implementation of AUC categories with<br> MHI assessment may select a group of patients with extremely low probability of both TP ESE and adverse CV events over<br> a medium-term follow-up. A simple noninvasive chest shape assessment could reduce unnecessary exams.</p>
Lower semantic fluency scores and a phonemic-over-semantic advantage predict abnormal CSF P-tau181 levels in Aβ+ patients within the Alzheimer's disease clinical spectrum
<p>Dataset associated with the paper: "Lower semantic fluency scores and a phonemic-over-semantic advantage predict abnormal CSF P-tau<sub>181 </sub>levels in Aβ+ patients within the Alzheimer's disease clinical <em>spectrum".</em></p>
ScienceDex guides
Understand access before you commit
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.