Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
51
datasets available to search
ShareScore release 0.9.0
Dataset results
51 results for “COVID-19 diagnosis”
The Diagnosis of Superinfections in Mechanically Ventilated Covid-19 Patients
ClinicalTrials.gov study NCT05148975. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Investigation of Hospitalisation Times and Mortality According to Drug Dose in Patients Given Systemic Methylprednisolone With a Pre-diagnosis of Covid-19 Pneumonia; Retrospective Study
ClinicalTrials.gov study NCT04847687. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluating the Impact of Computer-assisted X-ray Diagnosis and Other Triage Tools to Optimise Xpert Orientated Community-based Active Case Finding for TB and COVID-19
ClinicalTrials.gov study NCT05220163. IPD Sharing: Not stated. Countries: 3. Publications: 0.
Prediction Models for Diagnosis and Prognosis of Severe COVID-19
ClinicalTrials.gov study NCT04525287. IPD Sharing: YES. Countries: 1. Publications: 0.
The Impact of Covid-19 Pandemic on Colorectal Cancer Prevention Due to Delays in Diagnosis: a Global Study
ClinicalTrials.gov study NCT04637893. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical Validation of Breath Analyser Tests for Diagnosis of COVID-19.
ClinicalTrials.gov study NCT05094674. IPD Sharing: NO. Countries: 1. Publications: 0.
The Utility of Bedside Lung Ultrasonography on Diagnosis of COVID-19
ClinicalTrials.gov study NCT04399681. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Differential Leucocyte Count and Covid-19 Diagnosis
ClinicalTrials.gov study NCT04643860. IPD Sharing: Not stated. Countries: 1. Publications: 0.
From Inflammation to Remodelling Towards Personalized Diagnosis in Post-acute Sequelae of COVID-19
ClinicalTrials.gov study NCT06911476. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Sensitivity of serology assay in Covid-19 diagnosis: does the antigen matter?
<p>Dataset from Sitzia C, Pistelli L, Cardani R, Renna LV, Ranucci M, Carrara M, Borlini S, Clerici P, Rampoldi B, Cornetta M, Corsi-Romanelli M. Sensitivity of serology assay in Covid-19 diagnosis: does the antigen matter? J Biol Regul Homeost Agents. 2021 May-Jun;35(3):881-887. doi: 10.23812/21-163-A. PMID: 34231353.</p> <p>Abstract</p> <p>Since the spreading of Sar-CoV-2 in March 2020, many serologic tests have been developed to identify antibody responses. Indeed, different commercial kits are directed against different antigens and could utilise different methods thereby triggering confusion and criticism. Here, we compared two Food and Drug Administration (FDA)-approved automatized assays that detect IgG responses against spike or nucleocapsid protein of Sars-Cov-2 virus in 127 subjects among healthcare workers of IRCCS Policlinico San Donato (MI), Italy. We observed different kinetics of IgG responses, demonstrating the importance of timing of sampling to correctly interpret the results both for infection diagnosis and for epidemiologic studies. We observed that Anti-N response starts earlier than Anti-S1/S2 response but also decreases earlier, affecting the sensitivity of the tests at different time points. Combining two different assays, designed against different antigens, could reduce false negative results. Finally, we observed a patient who produced anti-nucleocapsid IgG, but not anti-spike IgG. In conclusion, we investigated antibody responses in Covid-19 disease, aiming to direct clinicians and laboratory scientists to correctly interpret serologic results by always paying attention to clinical history correlation, timing of sampling, methods and antigens used, to avoid false negative results and obtain relevant epidemiologic data.</p>
High immature platelet fraction with reduced platelet count on hospital admission. Can be useful for Covid-19 diagnosis?
<p>This record contains raw data related to the article:</p> <p> </p> <p><strong>High immature platelet fraction with reduced platelet count on hospital admission. Can be useful for Covid-19 diagnosis?</strong></p> <p> </p> <p><strong>Short running title</strong>: Platelet parameters and Covid-19</p> <p> </p> <p>Giovanni Introcaso, Alice Bonomi, Laura Salvini, Tiziana D’Errico, Annalisa Cattaneo, Emilio Assanelli, Silvia Stella Barbieri, Maria Luisa Biondi</p> <p> </p> <p>GI, TD, AC, MLB, Unit of Laboratory Medicine – Centro Cardiologico IRCCS Monzino – Milan Italy</p> <p>AB, Unit of Biostatistics– Centro Cardiologico IRCCS Monzino – Milan Italy</p> <p>LS, EA, Emergency Department– Centro Cardiologico IRCCS Monzino – Milan Italy</p> <p>SSB, Unit of Brain-Heart Axis - Centro Cardiologico IRCCS Monzino – Milan Italy</p> <p> </p> <p> </p> <p>Corresponding author: Giovanni Introcaso, Unit of Laboratory Medicine, Centro Cardiologico IRCCS Monzino – Milan Italy</p> <p>Via Parea , 20138 Milano, phone: 0039/0258002595</p> <p>e-mail: giovanni.introcaso@ccfm.it</p> <p> </p> <p> </p> <p><strong>Keywords: </strong>Platelet parameters, H-IPF, Covid-19, Hematological biomarkers, Emergency Department</p> <p> </p> <p> </p> <p> </p> <p> </p> <p><strong>ABSTRACT</strong></p> <p> </p> <p><strong>Introduction</strong>: Health professions are heavily engaged facing the current threat of Sars Cov-2 (Covid-19). Although there are many diagnostic tools, an accurate and rapid laboratory procedure for diagnosing Covid-19 is recommended. We focused on platelet parameters as additional biomarkers for clinical diagnosis in patients presenting to the emergency department (ED).</p> <p><strong>Materials and</strong> <strong>Methods</strong>: 561 patients from February to April, 2020 have been recruited. Patients were divided into three groups: (N=50) Covid-19 positive and (N= 21) Covid-19 negative with molecular testing, (N=490) as reference population without molecular testing. A Multiplex rRT-PCR from samples collected by nasopharyngeal swabs was performed and the hematological data collected.</p> <p><strong>Results</strong>: We detected a mild anemia in Covid-19 group and lymphopenia against reference population: hemoglobin (g/dL) 13.0 (11.5-14.8) vs 13.9 (12.8-15.0) (p=0.0135); lymphocytes (10<sup>9</sup>/L) 1.24 (0.94-1.73) vs 1.99 (1.49-2.64) (p<0.0001). In addition, abnormal platelet parameters as follows (Covid group versus reference population): PLT (x10<sup>9</sup>/L) 209(160-258) vs 236(193-279) (p=0.0239). IPF (%) 4.05 (2.5-5.9) vs 3.4 (2.2-4.9) (p=0.0576); H-IPF (%) 1.25 (0.8-2.2) vs 0.95 (0.6-1.5) (p=0.0171) were identified. In particular, Covid positive group had a high H-IPF/IPF Ratio compared to reference population [0.32 (0.29-0.36) vs 0.29 (0.26-0.32), respectively, (p=0.0003)]. Finally, a PLT difference of nearly 50x10<sup>9</sup>/L between pre/post Covid-19 sampling for each patient was found (N=42) (p=0.0194). <strong>Conclusions</strong>: Covid-19 group results highlighted higher IPF and H-IPF values, with increased H-IPF/IPF Ratio, associated to PLT count reduction. These findings shall be adopted for a timely diagnosis of patients upon hospital admission.</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.