|drug1294||E-cigarette ad exposure Wiki||0.45|
|drug3836||Susceptibility to infection Wiki||0.45|
|drug1400||Enoxaparin Higher Dose Wiki||0.45|
|D020022||Genetic Predisposition to Disease NIH||0.45|
|D009164||Mycobacterium Infections NIH||0.22|
|D003141||Communicable Diseases NIH||0.03|
There are 5 clinical trials
This research aims to investigate how exposure to advertising for Electronic Nicotine Delivery Systems (commonly called e-cigarettes) may lead to combustible smoking initiation in adolescents.
Description: Scores are measured by recording the amount of time (reaction time) it takes to categorize smoking-related words with positive (e.g., cool) and negative (e.g., cancer) words. Faster reaction times when categorizing smoking-related words with positive words is evidence of higher positive smoking expectancies.Measure: change in baseline in implicit positive smoking expectancies, measured by the implicit association test Time: baseline, within 5 minutes post intervention
Description: Eye-tracking will be used to measure the amount of time spent looking at static smoking cues in screen shots taken from e-cigarette advertisements. The amount time spent looking at a smoking cue is a measure how much attention was given to the smoking cue. The longer the looking time, the greater amount of attention.Measure: Amount of time spent looking at static smoking cues in e-cigarette advertisements Time: approximately 30 minutes post intervention
Description: Scores are measured on a 7-item scale. Positive smoking expectancies will be assessed using the following questions that follow the lead-in, "Please tell me how you feel about the following statements." "I think I would enjoy smoking"; "I think smoking would give me something to do when I'm bored"; "I think smoking would help me deal with problems or stress"; "I think smoking would help me stay thin"; "I think smoking would help me to feel more comfortable at parties"; "I think smoking would be relaxing"; and "I think smoking would make me look older." Responses are yes/no. Responses are coded as "1" for yes and "0" for no. Responses are then summed for a maximum positive smoking expectancy score out of 7. Higher scores mean higher positive smoking expectancies.Measure: 7-item explicit positive smoking expectancies scale Time: approximately 30 minutes post intervention
Description: This 11-item scale assess social normative beliefs about smoking related to 1) perceived disapproval from family/friends, 2) perceived popularity among successful/elite, and 3) perceived prevalence. Disapproval scale questions are answered using a 4-point Likert scale (1 = Strongly disagree; 4 = Strongly agree). A total disapproval score (ranging from 1 to 4) is calculated by averaging responses to each question. Higher values indicate a higher disapproval score. Popularity scale questions are answered using a 4-point Likert scale (1 = Strongly disagree; 4 = Strongly agree). A total popularity score (ranging from 1 to 4) is calculated by averaging responses to each question. Higher values indicate a higher popularity score. Prevalence scale questions are answered using a percent scale from 0 - 100% in 10% increments. A total prevalence scale (from 0 to 100) is calculated by averaging the responses to each question. Higher values indicate a higher prevalence score.Measure: 11-item scale that measures social normative beliefs about smoking Time: approximately 30 minutes post intervention
Description: This 3-item instrument is used to predict which never smokers are likely to start smoking by measuring their curiosity to use tobacco products. Item responses are on a 4-point Likert scale (definitely yes, probably yes, probably not, definitely not). To classify a respondent as not susceptible to smoking, the respondent must indicate "definitely not" to all four items. Any other response to any item classifies a respondent as "susceptible."Measure: A 3-item scale that measures adolescent smoking susceptibility Time: approximately 30 minutes post intervention
Description: Eye-tracking will be used to measure the total amount of time spent looking in realtime at smoking cues in TV commercials for e-cigarettes. The amount of time looking at smoking cues will be a measure of the amount of attention given to smoking cues. The longer the amount of time spent looking at smoking cues indicates that a greater amount of attention was given to the smoking cues.Measure: Amount of time looking at dynamic smoking cues in e-cigarette advertisements Time: During the intervention, approximately 15 minutes post baseline
Description: Character Attributes will be collected using a scale that measures participants beliefs about character attributes using the lead in: "I think [Character Name] is: " using a 5-point Likert (1 = strongly disagree; 5 = strongly agree). There is a total of 6 attributes assessed: 1) smart (smart, intelligent, stupid), 2) successful (successful, achieves goals, gets what he/she wants), 3) attractive (physically attractive, ugly, good-looking), 4) funny (funny, humorous, makes me laugh), 5) respected (respected by others, receives approval, criticized by others), and 6) popular (has lots of friends, well liked, gets support from others). A total score (form 1 to 5) for each scale is calculated by averaging responses for each question within that scale. For each scale, a higher total score indicates higher beliefs about that attribute.Measure: 18-item scale that measures character attributes of actors that appeared in the commercials Time: approximately 30 minutes post intervention
Description: This 5-item is scale is used to quantify how much a participant would like to be like an actor appearing in a commercial. Questions are rated on a 5-point Likert scale (1 = Strongly Disagree; 5 = Strongly agree). A total identification score (from 1 to 25) is calculated by summing the responses to each question. A higher total score indicates a higher level of wishful identification.Measure: 5-item scale that measure how much participants wish to be like the actors appearing in the commercials. Time: approximately 30 minutes post intervention
Description: This 13-item scale measures risk perceptions associated with cigarette use. Questions are answered using a sliding percent scale from 0 - 100% in 10% increments. A risk perception scale is calculated (from 0 to 100) by averaging the responses to each question. Higher values indicate a higher risk perception.Measure: 13-item scale to measure risk perception about cigarette use Time: approximately 30 minutes post intervention
Description: This 13-item scale measures risk perceptions associated with e-cigarette use. Questions are answered using a sliding percent scale from 0 - 100% in 10% increments. A risk perception scale is calculated (from 0 to 100) by averaging the responses to each question. Higher values indicate a higher risk perception.Measure: 13-item scale to Measure risk perception about e-cigarette use Time: approximately 30 minutes post intervention
The "COVID-19 infection self-test and alert system" (hereinafter referred to as "COVID-19 self-test applet") jointly developed by Beijing Tsinghua Changgung Hospital, Institute for precision medicine, artificial intelligence of Tsinghua University was launched on February 1，2020. Residents , according to their actual healthy situation, after answering questions online, the system will conduct intelligent analysis, make disease risk assessment and give healthcare and medical guidance. Based on the Internet population survey, and referring to the diagnosis and screening standards of the National Health Commission of the People's Republic of China, investigators carried out the mobile applet of Internet survey and registry study for the Internet accessible identifiable population, so as to screen the suspected population and guide the medical treatment.
Description: after the end of this study, investigators calculate and sum up the total evaluated population and positively diagnosed population, then check the ROC of this system, finally to calculate the sensitivity and accuracy of this self-test and self-alert systemMeasure: positive number diagnosed by national guideline in the evaluated population Time: 5 months
Description: after the end of this study, investigators calculate the proportion and distribution of evaluated people with normal and abnormal scoresMeasure: distribution map of evaluated people Time: 5 month
Description: after the end of this study, investigators sent the feedback inform to every evaluated people and collect and analysis the response to find out whether this applet can help them in the following surveillance or medical treatment. And how it works.Measure: Effect of medical guidance by designated feedback questionnaire Time: 5 month
Description: after the end of this study, investigators sent the designated mental scale including anxiety, and collect the response and draw the conclusion.Measure: mental scale of relief the mental anxiety and avoid unnecessary outpatient Time: 5 month
Background: There is a current worldwide outbreak of the novel coronavirus Covid-19 which originated from Wuhan in China and has now spread to 6 continents including 210 countries. There is still a lack of any report about severe acute respiratory syndromes (SARS-CoV-2) genetic polymorphisms which are associated with the susceptibility to infection. In addition, gene polymorphisms of MBL (mannose-binding lectin) associated with antigen presentation are related to the risk of SARS-CoV infection. Aim: To investigate the association of different genetic markers of different mechanisms of viral pathogenesis with the outcome of COVID-19. Methods: The study will include one hundred patients diagnosed as COVID-19. Biological blood samples will be taken for routine diagnostic analysis, routine molecular testing using Real-time polymerase chain reaction (PCR), Allelic discrimination and genotyping analysis. Outcome: Different genetic markers could play a role in the outcome and prognosis of COVID-19 viral infection.
Description: To assess genetic mutation via detection of genetic polymorphisms of ACE2 in patients and control to detect what alleles will be associated with the susceptibility to COVID-19 and what alleles will be associated with clearance or protection from infections. using allelic discrimination SSCP (i.e Real-time PCR and genetic sequencer).Measure: for the patients Time: 2 years
The primary objective of this study is to establish differences in susceptibility to SARS CoV-2 infection among health care workers (HCW) highly exposed to patients with COVID-19 diagnosis. To ascertain this issue, we evaluated: - Changes in receptor polymorphism (ACE2 and CD26 receptor study. - SARS-CoV-2 CD4/CD8 T cell response (CTL) - Different KIR phenotypes
Description: ACE2 analysisMeasure: Susceptibility to SARS CoV-2 infection according to ACE2 receptor Time: 1 month
Description: Activation of CD4-CD8 by viral peptidesMeasure: Cellular immune response to SARS CoV-2 infection Time: 1 month
Description: Analysis of KIR in NK cellsMeasure: Susceptibility to infections according to KIR phenoytpes Time: 2 months
Description: SurveyMeasure: Characteristics of exposure in time and intensity of HCW with SARS CoV-2 infection Time: 1 month
Description: Activation of CD4-CD8 by viral peptidesMeasure: Cellular immune response in HCW with positive IgG against SARS CoV-2 Time: 1 month
A novel coronavirus was identified in late 2019 in Wuhan, China On 11 February, The International Committee on Taxonomy of Viruses (ICTV) announced that the official classification of the new coronavirus (2019-nCoV) is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The World Health Organization (WHO) announced on the same day that the official name of the disease caused by the virus is Corona Virus Disease-19 (COVID-19). WHO has declared the infection a Pandemic on March 11, 2020. Based on previous studies on SARS in 2003 and SARS-MERS 2013 there was a genetic polymorphism associated with the susceptibility and severity of the disease. Interleukin-12 (IL-12) is a cytokine secreted by activated phagocytes and dendritic cells. It plays a pivotal role in promoting Th1-type immune responses and cell-mediated immunity. IL-12 triggers many biological functions: it stimulates the proliferation of activated T- and NK-cells, enhances T- and NK-cell-mediated cytolytic activity, and induces the production of IFN-γ by both T-and NK-cells. The interferon-γ production induced by IL-12 forms a major link between innate and adaptive immunity. A recent study revealed that interferon-mediated immunopathological events are associated with atypical innate and adaptive immune responses in SARS patients. Also, TNF-α is a key mediator of the inflammatory response and is critical for host defense against a wide variety of pathogenic microbes. However, the over-expression of this cytokine may lead to badness in disease recovery. The dual role of TNF, acting as an agent of both innate immunity and inflammatory pathology, poses a considerable challenge for gene regulation.
Description: genetic polymorphismMeasure: Measure level of polymorphisms of interleukin (IL)-12 receptor B1 (IL-12RB1) and TNF- α alpha on COVID-19 related severe acute respiratory syndrome (SARS-CoV-2). Time: day 1
Data processed on September 26, 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