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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,877 datasets
A meta-analysis of 15 articles published between 2016 and 2024, summarizing evidence on adherence to the Dapivirine Vaginal Ring for HIV-1 prevention among African women aged 16–45. The dataset includes data from seven unique studies, reporting on 2,424 women using the ring, with adherence outcomes measured as proportions, means, and visit/ring adherence. It was created by Roseline Dzekem Dine and last updated in May 2026.
A dataset of humoral immune responses from 200 individuals, including 100 Mexican rheumatoid arthritis patients and 100 healthy controls. It quantifies serum antibody levels against Mycobacterium avium paratuberculosis proteins PtpA and PtpB using ELISA. The data was collected by Jorge Hernández-Bello and last updated in May 2026.
A randomized sham-controlled clinical trial in Qazvin, Iran, enrolled 120 postmenopausal women between February and August 2024. The study, authored by Zainab Alimoradi, assessed the effect of auricular acupressure on menopause-specific quality of life using the MENQOL questionnaire across four domains. Data includes QoL scores measured at baseline, 1-month, and 2-month post-intervention.
The SMART BEAR project, an EU-funded initiative, describes a framework for profiling hearing loss patients. Data collection involves a 12-month continuous monitoring of participants, gathering demographics, audiometric data, cognitive status, habits, and preferences via medical devices, wearables, and clinical assessments. Author Eleftheria Iliadou uploaded this conceptual document to figshare under a CC-BY-4.0 license.
6% of the global population suffers from debilitating hearing loss, yet only a fraction successfully use hearing aids. This dataset, part of the EU-funded SMART BEAR project, profiles hearing aid users via 12 months of continuous monitoring, collecting demographics, audiometric data, cognitive status, habits, and device logs. Author Eleftheria Iliadou describes the conceptual framework for this data collection, which aims to improve patient satisfaction and reduce healthcare costs through explainable AI.
A conceptual framework and planned data collection for profiling hearing aid users within the EU-funded SMART BEAR project. The dataset will be generated from a 12-month continuous monitoring study of hearing loss patients, collecting demographics, audiometric data, cognitive status, habits, and device usage logs. The data is authored by Eleftheria Iliadou and was last updated on 2026-05-18.
A systematic review and meta-analysis of 13 studies published up to August 2024, including data from 3,282 cancer patients. The work, authored by Yaxin Wang, identifies and quantifies factors associated with fertility concerns, such as depression, education level, and treatment type. Results were synthesized using RevMan 5.4 and Stata 17.0 software.
A single-center prospective observational cohort study of 444 cardiogenic shock patients alive in the ICU at 30 hours, conducted from January 2021 to December 2025. The dataset tests associations between a dual-index phenotype (hypoalbuminemia and hyperchloremia) and 28-day in-hospital mortality. Results include adjusted odds ratios and C-statistics for model discrimination.
A single-arm meta-analysis synthesizing evidence from 34 studies involving 1,885 patients with potentially resectable stage IIB–IIIB non-small cell lung cancer. The study, authored by Feng Wu, evaluates the efficacy, pathological response rates, and frequency of treatment-related events associated with neoadjuvant immunochemotherapy. The analysis was conducted following PRISMA-NMA guidelines and includes data up to 9 December 2025.
A meta-analysis of 34 studies involving 1,885 patients with stage IIB–IIIB non-small cell lung cancer (NSCLC). The study, authored by Feng Wu, was uploaded to figshare on 2026-05-07 and pools data on surgical resection rates, pathological response, and adverse events from research published up to December 2025.
Mohamed Saad Sayed's meta-analysis evaluates the efficacy and safety of cerebral embolic protection devices during transcatheter aortic valve replacement. The study analyzes nine randomized controlled trials comprising 11,696 patients, with results published on figshare in May 2026. It found no significant reduction in stroke risk with device use compared to control groups.
18 randomized controlled trials and 8 meta-analyses were included in this systematic review and meta-analysis investigating high-protein supplementation in critically ill patients. The analysis, conducted by Zhiming You and registered as CRD420250652684, found no significant association between high-protein supplementation and overall mortality. Long-term intervention for more than 14 days was associated with a slight increase in overall mortality.
A 2026 systematic review and meta-analysis by Zhiming You, synthesizing evidence from 18 randomized controlled trials and 8 meta-analyses published up to April 1, 2026. The dataset, a 13.9 MB document, examines the effects of high-protein versus conventional protein supplementation on mortality and other clinical outcomes in critically ill patients. It includes results from meta-analysis, subgroup analysis, umbrella review, and Trial Sequential Analysis.
Data Sheet 1 from a cross-sectional study of 88 adults aged 60 and over with type 2 diabetes attending Setthathirath Hospital in Vientiane Capital, Lao PDR. The dataset, authored by Chanmaly Keomalavong, was last updated in May 2026 and includes structured interview data on diabetes knowledge, attitudes, self-care behaviors, and HbA1c levels. The study found 19.3% of participants achieved glycemic control, with a mean HbA1c of 9.03%.
Chanmaly Keomalavong's dataset contains cross-sectional survey data from 88 adults aged 60 years and older with type 2 diabetes attending a hospital clinic in Vientiane Capital, Lao PDR. It includes measures of diabetes knowledge, attitudes, self-care behaviors, and HbA1c levels, collected via structured interviews. The data was last updated on 2026-05-14.
Gene set enrichment analysis results for two potential key genes, MMP15 and FOXK1, identified in a study of uric acid-related genes in diabetic retinopathy. The dataset was authored by Haiming Liang and uploaded to figshare on 2026-06-02. It includes results from immune infiltration analysis and transcription factor targeting.
Gene enrichment analysis results for uric acid-related genes in diabetic retinopathy, created by Haiming Liang and last updated on June 2, 2026. The dataset is 58.5 KB in size and contains results from differential expression analysis, machine learning, and immune infiltration studies. It identifies MMP15 and FOXK1 as potential key genes associated with the condition.
A 94.6 KB Excel file containing differentially expressed genes (DEGs) identified in the GSE221521 transcriptome dataset. The data was generated by author Haiming Liang and last updated on 2026-06-02. It focuses on uric acid-related genes in diabetic retinopathy, identifying MMP15 and FOXK1 as potential key genes.
A study by Haiming Liang, published on figshare in 2026, identified uric acid-related genes (UARGs) associated with diabetic retinopathy (DR). The dataset contains results from differential expression analysis, machine learning, and immune infiltration analysis of public transcriptome data. It includes potential key genes MMP15 and FOXK1, validated with RT-qPCR on patient blood samples.
Haiming Liang published a clinical information table on figshare in 2026. The dataset supports a study identifying uric acid-related genes in diabetic retinopathy. It is a small dataset, 59.7 KB in size, stored in an XLSX file.