Study Results
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View full resultsBasic Information
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COMPLETED
46 participants
OBSERVATIONAL
2019-09-10
2021-09-03
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Normal
No known medical conditions
Collection of breath sample
Analysis of volatile organic compounds in breath
Liver Cirrhosis
Clinically diagnosed with cirrhosis
Collection of breath sample
Analysis of volatile organic compounds in breath
COVID-19 tested
Persons with known test results for COVID-19 RNA
Collection of breath sample
Analysis of volatile organic compounds in breath
Other
Persons with other medical diagnosis, no known liver disease, negative for COVID-19
Collection of breath sample
Analysis of volatile organic compounds in breath
Interventions
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Collection of breath sample
Analysis of volatile organic compounds in breath
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Mayo Clinic
OTHER
Responsible Party
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Tushar Patel
Principal Investigator
Principal Investigators
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Tushar Patel
Role: PRINCIPAL_INVESTIGATOR
Mayo Clinic
Locations
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Mayo Clinic Florida
Jacksonville, Florida, United States
Countries
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References
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Thomas JN, Roopkumar J, Patel T. Machine learning analysis of volatolomic profiles in breath can identify non-invasive biomarkers of liver disease: A pilot study. PLoS One. 2021 Nov 30;16(11):e0260098. doi: 10.1371/journal.pone.0260098. eCollection 2021.
Provided Documents
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Document Type: Study Protocol
Other Identifiers
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19-001971
Identifier Type: -
Identifier Source: org_study_id
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