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2,245 results for “risk factor”
High-fat diet leads to tissue-specific changes reflecting risk factors for diseases in DBA/2J mice
GEO Series GSE15822. Mus musculus. 96 samples. Type: Expression profiling by array.
Chronic inflammation is a risk factor for gastric carcinogenesis after Helicobacter pylori eradication [RNA-seq]
GEO Series GSE190449. Homo sapiens. 40 samples. Type: Expression profiling by high throughput sequencing.
The Alzheimer’s disease risk factor INPP5D restricts neuroprotective microglial responses in amyloid beta-mediated pathology [snRNA-seq]
GEO Series GSE220279. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
FABP4 overexpressed in intratumoral hepatic stellate cells within hepatocellular carcinoma with metabolic risk factors
GEO Series GSE102083. Mus musculus; Homo sapiens. 269 samples. Type: Expression profiling by array.
A Convergent Mechanism of High Risk Factors ADNP and POGZ in Neurodevelopmental Disorders
GEO Series GSE188865. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Single-nucleus sequencing reveals enriched expression of genetic risk factors in Extratelencephalic Neurons sensitive to degeneration in ALS
GEO Series GSE226753. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Genetically perturbed myelin as a risk factor for neuroinflammation-driven axon degeneration
GEO Series GSE224032. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
The dependency factor RRM2 at the nexus of a copy number driven regulatory network and a target for synthetic lethal interactions with replication stress checkpoint addiction in high-risk neuroblastom
GEO Series GSE162202. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing.
Zinc eluted from glassware is a risk factor for embryo development in human and animal assisted reproduction
GEO Series GSE163982. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
FABP4 overexpressed in intratumoral hepatic stellate cells within hepatocellular carcinoma with metabolic risk factors (part 3)
GEO Series GSE102081. Mus musculus. 8 samples. Type: Expression profiling by array.
Data from: Pathology in repeated transurethral resection of a bladder tumor as a risk factor for prognosis of high-risk non-muscle-invasive bladder cancer
The prognostic value of repeat transurethral resection of bladder tumor (TURBT) in patients with diagnosed high-risk, non-muscle-invasive bladder cancer (NMIBC) was investigated. We retrospectively reviewed the medical records of patients treated from October 2004 to December 2013 at Seoul National University who underwent repeated TURBT within 2–6 weeks after an initial resection. The study enrolled patients who had been diagnosed with NMIBC at both the initial and repeat TURBT; patients with muscle-invasive tumors on repeat TURBT were excluded. We used stepwise multivariate Cox regression models stratified by study to assess the independent effects of the predictive factors and estimated hazard ratios (HRs) from the Cox models. We investigated a total of 198 patients who were diagnosed with high-risk NMIBC. In logistic regression analyses, number of bladder tumors (2–7: OR, 2.319; 8≤: OR, 3.353; p<0.05), initially high tumor grade (OR, 2.435; p = 0.040), and presence of carcinoma in situ lesion (OR, 3.639; p = 0.017) correlated with residual tumor in the repeated-TURBT specimen. T1 stage in repeated-TURBT significantly correlated with recurrence (HR, 1.837; p = 0.010) and progression (HR, 2.806; p = 0.029) in multivariate analysis. The high grades of tumors in repeated-TURBT also significantly correlated with progression but not recurrence in the multivariate analysis (HR 2.152; p = 0.008). In this study, the pathologic findings in repeated-TURBT correlated with recurrence and progression in high-risk NMIBC. Repeated-TURBT is valuable because it can predict the recurrence and progression of high-risk NMIBC in addition to obtaining accurate pathologic findings.
Data from: Lipid profiles and obesity as potential risk factors of sudden sensorineural hearing loss
Objectives: The objective of our study was to establish whether increased lipid profiles and obesity affect the prevalence and prognosis of sudden sensorineural hearing loss (SSNHL). Methods: This was a case-controlled study with a longitudinal design. According to our criteria, 324 patients with SSNHL were included in this study. To manage potential covariates, 972 subjects with normal hearing from the Korean National Health and Nutrition Examination Survey were matched as control group according to their propensity scores. Age, level of total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and body mass index (BMI) were obtained from the clinical data. Multivariate logistic regression analysis was used to investigate the association between SSNHL and lipid profiles or obesity in the 1296 subjects. Multivariate Cox regression analysis was used to determine whether lipid profiles and obesity are prognostic factors in patients with SSNHL. Results: Mean body weight, BMI, TC, and TG were significantly higher in patients with SSNHL compared with control subjects (p<0.05). However, LDL-C values did not differ significantly between the two groups. Subjects with elevated TC and TG levels had a 2.20- (95% CI 1.50–3.24) and 1.50-fold (95% CI 1.08–2.08) increased odds, respectively, of SSNHL compared with subjects with normal TC and TG levels. Subjects with grade III BMI had a 1.59-fold (95% CI 1.17–2.16) increased odds of SSNHL. Multivariate Cox regression analyses revealed that BMI was an independent risk factor of treatment outcome, as patients with BMI ≥27.5 were less likely to achieve complete recovery than those with BMI <27.5 (p<0.05). Conclusions: The results of this study revealed that elevated TC and TG levels and increased BMI are significantly associated with the prevalence of SSNHL and its prognosis, indicating that vascular compromise may play an important role in the pathogenesis of SSNHL.
Risk factors for neurocognitive impairment, emotional distress, and poor quality of life in survivors of pediatric rhabdomyosarcoma: A report from the Childhood Cancer Survivor Study
<p>Dataset contains all variables used in the manuscript. </p> <p>Variable name file describes the variable names in details.</p>
raw data - Clinical Characteristics and Risk Factors for Prediction of Severity in Patients with COVID-19
Open the record for dataset details and reuse information.
RISK FACTORS FOR SMALL BOWEL INJURY IN RHEUMATOID ARTHRITIS
Open the record for dataset details and reuse information.
Menobalance: Cardiovascular risk factors from the CIMBOLIC study.
<p>This data set (without missing values) includes information on the age, smoking habit, systolic blood pressure, total cholesterol, HDL cholesterol, incidence of diabetes and the body mass index of 359 female patients who were between 40 and 69 years old at the age of data collection.</p> <p>It is extracted from data collected at the Gynecology department of the University Hospital (Inselspital) in Bern, Switzerland, in the framework of the CIMBOLIC study. The goal of CIMBOLIC was to compare the influence of Cimicifuga racemosa extract (CR, Ze 450) and menopausal hormone therapy (MHT) on metabolic parameters and body weight in symptomatic menopausal women. A detailed analysis can be found in the paper "Effect of CIMicifuga raremosa on metaBOLIC parameters in women with menopausal symptoms: a retrospective observational study (CIMBOLIC)" from Friederichsen and al. in 2019.</p> <p>The present dataset has been assembled in the framework of later research works on probabilistic imputation supported by the Center for Artificial Intelligence in Medicine (https://www.caim.unibe.ch/) and the Multidisciplinary Center for Infectious Diseases (https://www.mcid.unibe.ch/, grant number MA_14). </p> <p>The data set contains following variables:</p> <ul> <li>Age: Age of the participant in years.</li> <li>Smoker: Smoking status of the participant (0: Non-smoker, 1: Smoker ).</li> <li>BP: Systolic Blood Pressure of the participant in mmHg.</li> <li>TotalC: Total cholesterol of the participant in mmol/L.</li> <li>HDLC: High-density lipoprotein cholesterol of the participant in mmol/L.</li> <li>Diabetes: Diabetes status of the participant (0: doesn't have diabetes, 1: has diabetes).</li> <li>BMI: Body mass index of the participant.</li> </ul>
Prevalence, incidence and risk factors of white spot lesions associated with orthodontic treatment – systematic review ad meta-analysis
<p>These are data sets for a meta-analysis titled "<span><span>Prevalence, incidence and risk factors of white spot lesions associated with orthodontic treatment – systematic review ad meta-analysis. </span></span></p>
EARLY DETECTION OF PREECLAMPSIA IN LOW-RESOURCE SETTING: EXAMINING RISK FACTORS, MEAN ARTERIAL BLOOD PRESSURE (MAP), BODY MASS INDEX (BMI), AND URINE PROTEIN AT PUBLIC PRIMARY HEALTH CARE
<p>Master data for EARLY DETECTION OF PREECLAMPSIA IN LOW-RESOURCE SETTING: EXAMINING RISK FACTORS, MEAN ARTERIAL BLOOD PRESSURE (MAP), BODY MASS INDEX (BMI), AND URINE PROTEIN AT PUBLIC PRIMARY HEALTH CARE</p>
Cohort Study on Substance Use Risk Factors (C-SURF)
<p>C-SURF is a 4-wave panel study on substance use and other non-substance related behaviors in a representative sample of 6000 young Swiss men. The first wave started in the years 2010-2012 when men were around 20 years of age and the last assessment was done in 2019-2020 when men were around 28 years. Besides substance use and behavoural addictions a multitude of behavioural, personal and environmental factors were measured (e.g. family background, personality, mental health, physical activity, etc). Measures are based on self-reported questionnaires.</p>
Risk Factors Associated With the Global Burden of Disease in Reunion Island and Comparison With Mainland France and Indian Ocean Countries
ClinicalTrials.gov study NCT03357302. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.