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Visualization of Clinical Trials CT-eXplorer

Visualization of Clinical Trials CT-eXplorer. Maleh Hernandez Chris Bennett Lucas Panjer. Outline. Motivation Problem Solution Implementation Milestones Challenges. Motivation. Millions of dollars are spent each year conducting cinical trials, but…

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Visualization of Clinical Trials CT-eXplorer

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  1. Visualization of Clinical TrialsCT-eXplorer Maleh Hernandez Chris Bennett Lucas Panjer

  2. Outline • Motivation • Problem • Solution • Implementation • Milestones • Challenges

  3. Motivation • Millions of dollars are spent each year conducting cinical trials, but… • Analyzing results takes up to two years • There is no standard way to compare multiple trials • A good visualization tool would allow rapid ‘literature review’

  4. Problem • Trial Designers need to: • Locate, retrieve, compare, and contrast trials and subsets of data • Discover errors and problems in data • Identify opportunities for new trials

  5. Users and Data set Qualifying conditions Clinical Trial Treatment Efficacy Outcomes Co-morbidities Safety Outcomes Past Interventions Age Trial Designer

  6. Scenario • Pat is designing a trial for Mother to Child Transmission of HIV • Considers using Zidovudine and Nevirapine delivered together (treatment) • Interested in early pregnancy testing of African populations (qualifying conditions) • Must ensure no current immunotherapy (eligibility) • Needs to understand risks (outcomes) • She uses dynamic queries and linked views to explore data

  7. Proposed Solution

  8. Qualifying Conditions Trial Gestational Age (weeks) Serum Creatinine (mh/dL) > Hemoglobinaemia concentration (g/dL) > Absolute neutrophil count (cells/mm3) > Platelet count (cells/mm3) >  Connor  Davis  Guay  Lallemant

  9. Other eligibility criteria

  10. Interventions Trial Name During Pregnancy During Labor Post partum A B Connor C D A Davis B A B Guay C A Lallemant B   Zidovudine By Arm  Total Size  Nevirapine  Didanosine  Placebo

  11. Outcomes Trial Name Primary Outcomes A Maternal anemia Infant Anemia B Infant Anemia Connor Maternal neutropia C D Infant Neutropenia A Dabis Infant Mortality Maternal anemia B A Infant Anemia Infant HIV infected Infant Anemia Infant HIV infected B Guay C Infant Anemia Infant HIV infected Maternal anemia Infant Anemia Infant Neutropenia A Lallemant Maternal neutropia Infant Anemia B Birth 1 2 3 4 5 6 7 8 9 Weeks  Maternal anemia  Maternal neutropia   Efficacy Outcomes Maternal mortality  Safety Outcomes  Infant Anemia   Infant Neutropenia Month  Infant Mortality  Week  Infant HIV infected  label

  12. Implementation details

  13. Selected Milestones • October 28 – Finalized Design • November 10 – Separate display-only views complete (aggresive) • November 30 – Dynamic queries and linking complete • December 6 – Testing and evaluation complete • See proposal document for details…

  14. Challenges • Gathering and Structuring Data • Technical challenges • Linking views • InfoViz success rate • Timeframe

  15. Thank you! Questions? How can we improve on this? More info at: http://www.csc.uvic.ca/~ldp/csc586a/project/proposal.html

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