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D006526: Hepatitis C

Developed by Shray Alag, The Harker School
Sections: Correlations, Clinical Trials, and HPO

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO


Correlated Drug Terms (6)


Name (Synonyms) Correlation
drug376 BIO101 Wiki 0.71
drug697 Cannabis, Medical Wiki 0.71
drug108 ART Therapy Wiki 0.71
Name (Synonyms) Correlation
drug2575 Placebos Wiki 0.17
drug1292 Favipiravir Wiki 0.15
drug2490 Placebo Wiki 0.03

Correlated MeSH Terms (29)


Name (Synonyms) Correlation
D000070627 Chronic Traumatic Encephalopathy NIH 0.71
D055985 Latent Tuberculosis NIH 0.71
D005879 Tourette Syndrome NIH 0.71
Name (Synonyms) Correlation
D003424 Crohn Disease NIH 0.71
D006505 Hepatitis NIH 0.71
D000070642 Brain Injuries, Traumatic NIH 0.50
D000690 Amyotrophic Lateral Sclerosis NIH 0.50
D012640 Seizures NIH 0.50
D016472 Motor Neuron Disease NIH 0.50
D001714 Bipolar Disorder NIH 0.41
D005356 Fibromyalgia NIH 0.35
D014376 Tuberculosis NIH 0.35
D000755 Anemia, Sickle Cell NIH 0.35
D001930 Brain Injuries, NIH 0.32
D001927 Brain Diseases NIH 0.32
D010300 Parkinsonian NIH 0.29
D015212 Inflammatory Bowel Diseases NIH 0.27
D012598 Scoliosi NIH 0.25
D009103 Multiple Sclerosis NIH 0.25
D059350 Chronic Pain NIH 0.24
D040921 Stress Disorders, Traumatic NIH 0.14
D004194 Disease NIH 0.14
D013313 Stress Disorders, Post-Traumatic NIH 0.13
D014947 Wounds and Injuries NIH 0.13
D003141 Communicable Diseases NIH 0.10
D013577 Syndrome NIH 0.07
D007239 Infection NIH 0.06
D045169 Severe Acute Respiratory Syndrome NIH 0.03
D018352 Coronavirus Infections NIH 0.02

Correlated HPO Terms (8)


Name (Synonyms) Correlation
HP:0100280 Crohn's disease HPO 0.71
HP:0006802 Abnormal anterior horn cell morphology HPO 0.50
HP:0100754 Mania HPO 0.50
Name (Synonyms) Correlation
HP:0007354 Amyotrophic lateral sclerosis HPO 0.50
HP:0001250 Seizure HPO 0.41
HP:0001298 Encephalopathy HPO 0.32
HP:0002037 Inflammation of the large intestine HPO 0.27
HP:0012532 Chronic pain HPO 0.24

Clinical Trials

Navigate: Correlations   HPO

There are 2 clinical trials


1 Outcomes Mandate National Integration With Cannabis as Medicine for Prevention and Treatment of COVID-19

This will be a multistate, multicenter clinical study to determine the efficacy and safety of medical cannabis for a wide variety of chronic medical conditions.

NCT03944447
Conditions
  1. Chronic Pain
  2. Chronic Pain Syndrome
  3. Chronic Pain Due to Injury
  4. Chronic Pain Due to Trauma
  5. Fibromyalgia
  6. Seizures
  7. Hepatitis C
  8. Cancer
  9. Crohn Disease
  10. HIV/AIDS
  11. Multiple Sclerosis
  12. Traumatic Brain Injury
  13. Sickle Cell Disease
  14. Post Traumatic Stress Disorder
  15. Tourette Syndrome
  16. Ulcerative Colitis
  17. Glaucoma
  18. Epilepsy
  19. Inflammatory Bowel Diseases
  20. Parkinson Disease
  21. Amyotrophic Lateral Sclerosis
  22. Chronic Traumatic Encephalopathy
  23. Anxiety
  24. Depression
  25. Insomnia
  26. Autism
  27. Opioid-use Disorder
  28. Bipolar Disorder
  29. Covid19
  30. SARS-CoV Infection
  31. COVID-19
  32. Corona Virus Infection
  33. Coronavirus
Interventions
  1. Drug: Cannabis, Medical
MeSH:Infection Communicable Diseases Hepatitis C Coronavirus Infections Severe Acute Respiratory Syndrome Fibromyalgia Crohn Disease Inflammatory Bowel Diseases Parkin Parkinson Disease Multiple Sclerosis Brain Injuries Brain Injuries, Traumatic Seizures Motor Neuron Disease Amyotrophic Lateral Sclerosis Brain Diseases Tourette Syndrome Chronic Traumatic Encephalopathy Anemia, Sickle Cell Disease Syndrome Sclerosis Chronic Pain Wounds and Injuries Stress Disorders, Traumatic Bipolar Disorder Stress Disorders, Post-Traumatic
HPO:Abnormal anterior horn cell morphology Amyotrophic lateral sclerosis Bilateral tonic-clonic seizure Bipolar affective disorder Chronic pain Crohn's disease Encephalopathy Focal-onset seizure Generalized-onset seizure Inflammation of the large intestine Mania Seizure

Primary Outcomes

Description: Covid-19 infection rates in cannabis users will be compared to rates in the general population. Our online questionnaire responses will compare infection rates of cannabis users in this study against the Johns Hopkins University Coronavirus Research Center data (https://coronavirus.jhu.edu).

Measure: Prevention of COVID-19

Time: Five years

Description: Severity of persistent symptoms in cannabis users testing positive for active infection and/or antibodies will also be compared to the general population. Patients will answer the widely used FLU-PRO questionnaire, which asks about flu symptoms and severity, to capture diagnoses, symptoms, and medical interventions related to COVID-19. The data from cannabis user patients will be compared with national and international data surveys, such as the Covid Symptom Study (https://covid.joinzoe.com/us-2).

Measure: Treatment of COVID-19

Time: Five years

Description: The primary objective is to assess the efficacy and safety of medical cannabis as medicine for treatment of chronic pain and other chronic debilitating diseases. Pain will be measured by Brief Pain Inventory (BPI) numeric scale. Change from baseline in BPI will be assessed at 3-month intervals. For prospective associations between cannabis use and outcomes, use of a lagged mixed-effects models will examine temporal associations between cannabis use and pain severity, opioid sparing, and patient satisfaction. Data will be analyzed from baseline and the annual follow-up waves.

Measure: Treatment of Symptoms

Time: Five years

Secondary Outcomes

Description: Secondary objectives include evaluating increases or decreases in quality of life, and increases or decreases in concomitant opioid use. Satisfaction with treatment will be measured by a Visual Analog Score (VAS). Change From baseline in Satisfaction with treatment measured by (VAS) be assessed at 3-month intervals.

Measure: Cannabis Impact on Quality of Life

Time: Five years

Description: Tertiary objectives will examine preferences for routes of administration, and preferences for THC / CBD ratios. Categorical factors will be summarized using frequencies and percentages, while continuous measure distributions will be described using means, standard deviations, and quartiles of interest.

Measure: Cannabis Route and Dosing

Time: Five years

Description: Incidence of Treatment-Related Adverse Events will be measured by Physician Global Assessment (PGA) numeric scale. Number of participants with Treatment-Related Adverse Events will be assessed by CTCAE v4.0.

Measure: Monitoring Adverse Events

Time: Five years
2 European Pregnancy and Paediatric Infections Cohort Collaboration (EPPICC): Paediatric Protocol

Across Europe and worldwide, there are many studies following groups (cohorts) of children living with human immunodeficiency virus (HIV) and other infections over time, to monitor their long-term health. Some of these infections are rare: for example, few children in Western Europe are living with HIV, so the studies often have fairly small numbers of participants. This can make it difficult to answer research questions in these cohorts and means that doctors and researchers working with these patients in different countries need to work together. This is particularly important as children are not often included in clinical trials of treatments and other interventions. The European Pregnancy and Paediatric Infections Cohort Collaboration (EPPICC) is an international network of researchers working together in this way. Researchers in the network represent cohort studies of pregnant women and children with, or at risk of, infections from across Europe and Thailand. The research focuses on infections in pregnant women and children, particularly HIV, hepatitis B and C virus, and tuberculosis, and, from 2020, novel coronavirus (COVID-19). By combining data from many cohorts, the researchers aim to answer questions that could not be answered by one study individually (for example, because a large number of pregnant women or children are needed to answer the question). This protocol focuses on the paediatric component of EPPICC's research, which focuses on the treatment of children at risk of and living with infections. For example, what medicines are used most often and how do they affect children's health? EPPICC is an observational study, which means that children do not receive any extra treatment as part of the study. Instead, children are "observed" during their routine medical care. Each cohort keeps records of the children's health collected at routine clinic visits, including information such as date of birth and sex, results of diagnostic tests, treatments received, and any illnesses or other events that the children have had. The EPPICC study combines and analyses data from all of the cohorts that take part, to answer questions about the risks and benefits of different diagnosis or treatment strategies, the long-term effects of infection and treatment during childhood and young adulthood, and regional variations (e.g. between Western and Eastern Europe) in the risk and management of infections. All of the data collected through the EPPICC Paediatric Protocol are stored securely at the Medical Research Council Clinical Trials Unit (MRC CTU) at UCL. Data collection and storage are governed by the General Data Protection Regulation. A Steering Committee guides the research to make sure it is relevant and of high quality. Public and patient involvement (PPI) may be provided by individual cohorts' own groups, as well as by the interlinked Penta organisation, which is a network of paediatricians and researchers working in infections in Europe and globally. The PPI groups help with release of the results of the research. The results are also published on the Penta Foundation's public website (https://penta-id.org/), and presented at conferences and published in Open Access scientific journals.

NCT04677842
Conditions
  1. HIV Infections
  2. Tuberculosis Infection
  3. Hepatitis C
  4. Covid19
Interventions
  1. Drug: ART Therapy
MeSH:Infection Communicable Diseases Tuberculosis Latent Tuberculosis Hepatitis C Hepatitis
HPO:Hepatitis

Primary Outcomes

Measure: CD4 count in adulthood of young people with HIV assessed using routine clinical data

Time: through study completion, an average of 5 year

Measure: 2. Viral suppression in adulthood of young people with HIV assessed using routine clinical data

Time: through study completion, an average of 5 year

Measure: Viral suppression defined as <50 copies, <400 copies and 1000 copies/mL) upto 144 weeks.

Time: up to 144 weeks

Measure: CD4 change from drug start up to 144 weeks

Time: up to 144 weeks

Measure: Cumulative incidence of virological failure (>1000 copies/mL)

Time: through study completion, an average of 5 years

Measure: From start of novel drug of interest through to earliest date of the following: death, loss to follow-up, discontinuation of drug or last visit

Time: From date of novel drug initiation until earliest date of death, loss to follow-up, discontinuation of drug or last visit assessed up to 36 months

HPO Nodes


HPO

Alphabetical listing of all HPO terms. Navigate: Correlations   Clinical Trials


HPO Nodes


Reports

Data processed on January 01, 2021.

An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.

Drug Reports   MeSH Reports   HPO Reports  

Interventions

4,818 reports on interventions/drugs

MeSH

706 reports on MeSH terms

HPO

306 reports on HPO terms

All Terms

Alphabetical index of all Terms

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