Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,087 datasets
Data Sheet 1 from the Trøndelag Health Study (HUNT) analyzes longitudinal resting heart rate data from 47,712 participants across surveys between 1995 and 2019. The dataset, authored by Linda M. S. Hansen, includes hazard ratios for new-onset heart failure based on RHR categories, continuous RHR, and latent class trajectory models. It was last updated on March 18, 2026.
96 patient records from a retrospective clinical study show 62.5% of Myasthenia Gravis patients exhibited anxiety symptoms and 46.90% presented depressive symptoms. The dataset includes clinical scale scores and results from a bidirectional two-sample Mendelian Randomization analysis using European population genome-wide association studies. Author Lijun Luo published the data on figshare under a CC-BY-4.0 license, last updated in March 2026.
A 2026 study by Lijun Luo integrates clinical data from 96 patients with Mendelian randomization analysis. The clinical component includes patient scores like QMG and MG-ADL, while the genetic analysis uses European population genome-wide association studies. It investigates the relationship between myasthenia gravis severity and psychiatric comorbidities.
96 patient records from a retrospective clinical study, combined with genetic data from European population genome-wide association studies, were used to investigate the relationship between myasthenia gravis and psychiatric comorbidities. The data was uploaded by author Lijun Luo on March 18, 2026. The clinical analysis found 62.5% of patients exhibited anxiety symptoms and 46.90% presented depressive symptoms.
A European population study by Lijun Luo, last updated in March 2026, investigates the relationship between myasthenia gravis and psychiatric comorbidities. It includes clinical data from 96 patients and uses genome-wide association studies for Mendelian randomization analysis. The dataset is a 25.0 KB document file.
735 adult participants without severe neurological or cardiovascular diseases underwent clinical exams, biochemical analysis, and brain MRI. The dataset, from a study by Aleksandra Szum-Jakubowska, presents associations between glucose metabolism disorders and white matter hyperintensity volume. It was last updated on 2026-03-18.
A 12-week non-randomized, single-arm interventional study of 90 obese women with polycystic ovary syndrome (PCOS). The dataset, authored by Wencheng An and last updated in March 2026, contains results on the effects of a 5:2 intermittent fasting diet with meal replacement on body weight, metabolic markers, and reproductive outcomes.
A microsimulation model estimates costs and quality-adjusted life years for 32 possible treatment sequences following first-line rituximab for relapsing-remitting multiple sclerosis in Norway. The model was informed by structured expert elicitation with four neurologists and follows Norwegian pharmacoeconomic guidelines. The dataset, authored by Simone Huygens, was last updated on March 18, 2026.
Zhongke Wang's bibliometric analysis includes 2,666 publications on neoadjuvant therapy for gastric cancer. The study visualizes research trends, top-producing countries like China, and key authors such as Huang, Changming. It identifies future research directions including deep learning and immunotherapy applications.
30,677 individuals with heart failure were identified in a population-based, observational study conducted over a 5-year period in Aragon, Spain. The data includes prevalence rates, common comorbidities, treatment patterns, and healthcare utilization trends. The dataset was created by Juan Carlos Romero-Vigara and published on figshare under a CC-BY-4.0 license.
The ICAR study provides population-based, observational data on heart failure in Aragon, Spain. It identified 30,677 individuals with HF (prevalence 2.7%) over a 5-year period from 2019 to 2023, based on the BIGAN database. The dataset includes statistics on patient demographics, comorbidities, treatment prescriptions, and healthcare resource utilization.
30,677 individuals with heart failure were identified in a population-based, observational study conducted over a 5-year period in Aragon, Spain. The data includes prevalence rates, common comorbidities, and prescribed treatments, derived from the BIGAN database. The study was authored by Juan Carlos Romero-Vigara and last updated in March 2026.
A systematic review and meta-analysis by Gang Li, published on figshare in 2026, synthesizes evidence on the association between statin use and survival in colorectal cancer patients. It aggregates data from 25 observational studies involving 179,979 patients, analyzing outcomes like all-cause and cancer-specific mortality. The analysis employs hazard ratios with 95% confidence intervals, using a random-effects model.
Gang Li's systematic review and meta-analysis, published on figshare in 2026, assesses the association between statin use and survival outcomes in colorectal cancer patients. The analysis includes 25 observational studies with a total of 179,979 patients. It reports hazard ratios for all-cause mortality, cancer-specific mortality, and other outcomes based on statin use before or after diagnosis.
A systematic review and meta-analysis of 25 observational studies involving 179,979 colorectal cancer patients. The study, authored by Gang Li and published on figshare in 2026, analyzes the association between statin use and patient survival outcomes, including all-cause and cancer-specific mortality. It employs hazard ratios with 95% confidence intervals from a random-effects model.
A systematic review and meta-analysis of 25 observational studies involving 179,979 colorectal cancer patients, assessing the association between statin use and survival outcomes. The study, authored by Gang Li and published on figshare in March 2026, pools hazard ratios for all-cause and cancer-specific mortality. It includes studies from database inception until October 31, 2025, and employs a random-effects model for pooled analyses.
MERRA-2 is a monthly mean, time-averaged 2-dimensional data collection of assimilated aerosol diagnostics produced by NASA's Global Modeling and Assimilation Office. The dataset covers the period from 1980 to the present, with a latency of approximately three weeks after the end of each month. It includes parameters such as dry and wet deposition of aerosol components, dust emission and sedimentation, and organic carbon convective scavenging.
1980-present monthly mean cloud diagnostics from NASA's MERRA-2 atmospheric reanalysis. The collection includes assimilated parameters such as updraft areal fraction, cloud fraction for radiation, and in-cloud liquid/ice mass fraction across 42 pressure levels. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS model version 5.12.4.
NASA's MERRA-2 global atmospheric reanalysis provides monthly mean data from 1980 onward. The collection includes diagnostics for temperature, wind, pressure, and water vapor at popular vertical levels. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS model.
42 pressure levels of assimilated radiation diagnostics, such as cloud fraction for radiation and air temperature tendency due to longwave or shortwave radiation, are included in this 3-dimensional monthly mean data collection. MERRA-2 is a global atmospheric reanalysis produced by NASA's Global Modeling and Assimilation Office using the GEOS model version 5.12.4. The dataset covers the period from 1980 to the present, with a latency of approximately three weeks after the end of each month.