Developed by Shray Alag, The Harker School
Sections: Correlations,
Clinical Trials, and HPO
Navigate: Clinical Trials and HPO
Name (Synonyms) | Correlation | |
---|---|---|
drug105 | ART Therapy Wiki | 0.71 |
drug683 | Cannabis, Medical Wiki | 0.71 |
drug2843 | Routine care for COVID-19 patients Wiki | 0.50 |
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 |
D005356 | Fibromyalgia NIH | 0.50 |
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 | 0.50 |
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 |
D009103 | Multiple Sclerosis NIH | 0.27 |
D015212 | Inflammatory Bowel Diseases NIH | 0.27 |
D012598 | Scoliosi NIH | 0.25 |
D059350 | Chronic Pain NIH | 0.24 |
D004194 | Disease NIH | 0.14 |
D040921 | Stress Disorders, Traumatic 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 | 0.07 |
D045169 | Severe Acute Respiratory Syndrome NIH | 0.03 |
D018352 | Coronavirus Infections NIH | 0.02 |
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 |
Navigate: Correlations HPO
There are 2 clinical trials
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.
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 yearsDescription: 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 yearsDescription: 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 yearsDescription: 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 yearsDescription: 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 yearsDescription: 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 yearsAcross 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.
Alphabetical listing of all HPO terms. Navigate: Correlations Clinical Trials
Data processed on December 13, 2020.
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