CovidResearchTrials by Shray Alag

CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)

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Clinical Trial MeSH HPO Drug Gene SNP Protein Mutation


Correlated Drug Terms (5)

Name (Synonyms) Correlation
drug773 Diphenhydramine Wiki 0.71
drug336 Best available care Wiki 0.71
drug2519 Tigerase® and best available care Wiki 0.71
drug2069 Remestemcel-L Wiki 0.41
drug1083 Hydrocortisone Wiki 0.35

Correlated MeSH Terms (2)

Name (Synonyms) Correlation
D013577 Syndrome NIH 0.08
D018352 Coronavirus Infections NIH 0.06

Correlated HPO Terms (0)

Name (Synonyms) Correlation

There are 2 clinical trials

Clinical Trials

1 a Retrospective Study of Neural Network Model to Dynamically Quantificate the Severity in COVID-19 Disease

The research aim to collect large samples of COVID-19 disease patients with clinical symptoms, laboratory and imaging examination data. Screening the biological indicators which are related to the occurrence of severe diseases. Then, investigators using artificial intelligence (AI) technology deep learning method to find a prediction model that can dynamically quantify COVID-19 disease severity.

NCT04347369 COVID-19 Disease Other: other

Primary Outcomes

Description: The performance of our prediction model is evaluated with the receiver operating characteristic (ROC) curves, areas under the curves (AUCs) and concordance index (c-index).

Measure: discrimination

Time: up to 3 months

Description: The calibration curves analysis is used to show error between the predicted clinical phenotype with prediction model and actual clinical phenotype.

Measure: Calibration

Time: up to 3 months

Description: Decision curve analysis was used to determine whether the models could be considered useful tools for clinical decisionmaking by comparing the net benefits at any threshold.

Measure: Net benefit

Time: up to 3 months

2 A Novel Nomogram to Predict Severity of COVID-19

Investigators use clinical data from a large sample of COVID-19 disease patients to screen out biomarkers associated with disease severity. Then, a novel nomogram model will be established to predict covid-19 disease severity, which could provide important assistance and supplement for clinical work. In the case of extremely shortage of front-line medical resources, patients with potential severe diseases will be timely treated with the help of the novel nomogram model.

NCT04366024 COVID-19 Disease Nomogram Model Other: other

Primary Outcomes

Description: We aim to use the clinical data of COVID-19 patients to construct a nomogram model to predict the severe rate of each patient, then the the consistency of predicted severe rate and observed severe rate will be evaluated by calibration plot.

Measure: the consistency of predicted severe rate and observed severe rate of COVID-19 patients

Time: up to 3 months

Description: the duration of severe illness of each patient will evaluated

Measure: Duration of severe illness

Time: up to 3 months

No related HPO nodes (Using clinical trials)