CovidResearchTrials by Shray Alag


CovidResearchTrials Covid 19 Research using Clinical Trials (Home Page)


COViageWiki

Developed by Shray Alag
Clinical Trial MeSH HPO Drug Gene SNP Protein Mutation


Correlated Drug Terms (2)


Name (Synonyms) Correlation
drug2762 biopsies of subcutaneous adipose tissue Wiki 0.58
drug2388 Survey Wiki 0.22

Correlated MeSH Terms (2)


Name (Synonyms) Correlation
D018352 Coronavirus Infections NIH 0.05
D011014 Pneumonia NIH 0.03

Correlated HPO Terms (1)


Name (Synonyms) Correlation
HP:0002090 Pneumonia HPO 0.03

There are 3 clinical trials

Clinical Trials


1 Mortality Prediction Model for the Triage of COVID-19, Pneumonia and Mechanically Ventilated ICU Patients

The objective of this study is to develop and evaluate an algorithm which accurately predicts mortality in COVID-19, pneumonia and mechanically ventilated ICU patients.

NCT04358510 COVID-19 Pneumonia Mechanical Ventilation Device: COViage
MeSH:Pneumonia
HPO:Pneumonia

Primary Outcomes

Description: Deceased or not deceased

Measure: Mortality outcome in COVID-19 ICU patients

Time: Through study completion, an average of 2 months

Description: Deceased or not deceased

Measure: Mortality outcome in mechanically ventilated ICU patients

Time: Through study completion, an average of 2 months

Description: Deceased or not deceased

Measure: Mortality outcome in pneumonia ICU patients

Time: Through study completion, an average of 2 months

2 Prediction Of Respiratory Decompensation In Covid-19 Patients Using Machine Learning: The READY Trial

The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.

NCT04390516 COVID-19 Coronavirus Mortality Mechanical Ventilation Device: COViage
MeSH:Coronavirus Infections

Primary Outcomes

Description: Ventilated or not ventilated within 24 hours

Measure: Mechanically ventilated patient outcome

Time: Through study completion, an average of 2 months

Secondary Outcomes

Description: Death or ventilated, or no death or not ventilated within 24 hours

Measure: Mortality or mechanically ventilated patient outcome

Time: Through study completion, an average of 2 months

3 Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning: the IDENTIFY Trial

The purpose of this study was to assess the performance of a machine learning algorithm which identifies patients for whom hydroxychloroquine treatment is associated with predicted survival.

NCT04423991 COVID-19 Coronavirus Mortality Device: COViage
MeSH:Coronavirus Infections

Primary Outcomes

Description: Time to in-hospital death

Measure: Mortality outcome

Time: Through study completion, an average of 3 months


Related HPO nodes (Using clinical trials)