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Science & research Simon Collins HIV i-Base 1. Why evidence - PowerPoint PPT Presentation

Science & research Simon Collins HIV i-Base 1. Why evidence and not just opinion? 2. Study designs? S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017 Subliminal image n = 500,000 n = 500 S Collins, HIV i-Base UK CAB


  1. Science & research Simon Collins HIV i-Base 1. Why evidence and not just opinion? 2. Study designs? S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  2. Subliminal image n = 500,000 n = 500 S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  3. Activist training • The CAB is a treatment advocacy network rooted in science and research because healthcare in the UK is based on “ evidence-based medicine ” • A basic understanding of research is essential – lifelong process • We need to be able to explain this approach to others S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  4. Activist training: skills and practice Learn Think... Read... Write... Talk... Experience Listen... Communicate and teach S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  5. Introduction • Please write notes • Keep a glossary of new words • The training will include new tools to understand and explain research • Please report one session for the report • Please ask questions • Please provide feedback S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  6. Results are repeatable and generalisable Research study Population results n = 500 n = 500,000 Research needs to be designed so that there is confidence in the results to use them on a population level … S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  7. Clinical evidence • A study (experiment) can prove a theory, disprove a theory or show that more research is needed. • If study results are true - ie not just by chance, then repeating the study should get similar results. • Research involves relying on results small numbers of people to decisions on a population level. • This is recent – mainstream since 1950. S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  8. Types of research.1 Different types of study have advantages and disadvantages depending on the study question . • Prospective vs retrospective: Looking forward or backwards? • Observational vs experimental: Just observing or experimenting? • Cross-sectional vs longitudinal: Single time point or following over time? S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  9. Types of research.2 Different types of study also provide different levels of evidence: • RCT: Randomised, blinded controlled (clinical vs surrogate endpoints). • Cohort studies. • Cross-sectional study. • Case-control study. • Systematic literature review / meta-analyses. • Case report / case review. • Expert opinion – is this evidence? S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  10. Clinical research • Every study starts with an idea – sometimes called a theory or question or hypothesis. - Write down a study question • Different types of studies produce different types of results. - Outline a study that would answer the Q. • Every study tells a story – we need to understand the story first before we can explain it to anyone else. Describe one recent health study. S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  11. Study format • Title – summary of research (impartial, not showing results). • Background – why the study is important. • Methods – outline of what will be done. • Results – outcome – what was observed. • Discussion – implications, strengths and weaknesses of the study. • Conclusion – summary of what was proven or not. Read everything by asking questions S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  12. Flowchart: Randomised clinical trial (RCT) * http://en.wikipedia.org/wiki/Randomized_controlled_trial S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  13. Clinical evidence – examples • Citrus fruit and scurvy (1749) * • Streptomycin for TB (1948) * • Evidence for U=U (1998-2017) * http://en.wikipedia.org/wiki/Randomized_controlled_trial S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  14. James Lind - Scurvy Background: Sailors health at sea Methods: N=12 sailors with symptoms of scurvy • They all received the same diet, plus daily: (n=2 each) Group 1 - a quart of cider, Group 2 - twenty-five drops of elixir of vitriol (sulfuric acid), Group 3 - six spoons of vinegar, Group 4 – 0.5 pint of seawater, Group 5 - two oranges and one lemon Group 6 - a spicy paste plus a drink of barley water. Results • Group 5 stopped after six days when they ran out of fruit – but one sailor was already fit for duty and the other had almost recovered. Apart from that, only group one also showed some effect of its treatment. Conclusion - ?? • http://en.wikipedia.org/wiki/James_Lind S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  15. Streptomycin – BMJ 1948 Background: TB – no available treatment Methods: N=107 - randomised to streptomcin (n=55) - 0.5 mg IM, every 6 hours for 4 months vs control (n=52). Not aware of study! Results: 7% (n=4) vs 27% (n= 14) deaths within 6 months – statistically significant – less than 1% likelihood it could happen by chance; and 51% (n=28) vs 8% (n=4) improved (<0.001% by chance); esp in most sick. Conclusion - ?? • http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2091872/ S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  16. Research example (Streptomycin – BMJ 1948) Background: What was the study question? Methods: What type of study? How? With what? Measuring what? Results: • Who was studied – what type of people? • What was seen? – were there differenses? • Were results significant? Discussion • What else was important? Were there risks? What other studies are needed? Interpretation? Conclusion • Was the question answered? How can the results be used? S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  17. Evidence vs opinion • Evidence-based medicine recent idea - since 1988. • Balance risk vs benefit based on evidence. • • Categorise quality of the evidence. • Formalise in guidelines –separate categories for the quality of evidence and the strength of the recommendation (ie A1 vs CIII. S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  18. Evidence for U=U • Evidence supporting the idea that “undetectable viral load makes HIV sexually untransmittable”. • Key studies and different evidence over 20 years: Observation, hypothesis, evidence review, RCTs, prospective cohorts etc S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  19. U=U Timeline.1 S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  20. U=U Timeline.2 S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  21. Thanks simon.collins@i-base.org.uk www.i-base.info www.ukcab.net S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  22. START study • Balance of the risks vs benefits of starting treatment at CD4 >500 vs 350 cells/mm3 • Flow chart – study design • What are the primary and secondary objectives? • Any surprises? S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  23. PARTNER study • Quantify the risk of HIV transmission when HIV positive partner in on treatment • Flow chart – study design • What are the primary and secondary objectives? • Any surprises? . S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  24. START Study http://insight.ccbr.umn.edu/ VERY EXCITING – >4000 people with CD4 counts above 500 randomised to early vs late PARTNER Study http://www.partnerstudy.eu/ VERY EXCITING – follows pos/neg couples for HIV transmissions when VL is undetectable S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  25. TasP: available evidence Rodger et al. Antiviral Therapy 2013; 18:285–287 S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

  26. TasP: available evidence Study No of Rate per 100 % couples F/U time (n = trans- PYFU (95%CI) no with risk couples) missions condoms (years) HPTN-052 1 0.1 7 63.4 (n=1763) (0.0, 0.4) Meta- 0 0 25 218.25 analysis (0, 1.27) (n=93+393) Partners 1 0.37 7 19.1 (n=3381) (0.09, 2.04) Rakai 0 0 46 28.9 (n=32) (0, 5.98) Adapted from Rodger et al. Antiviral Therapy 2013; 18:285–287 S Collins, HIV i-Base UK CAB ACTIVIST TRAINING AUGUST 2017

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