WWW.ICAD-CISD.COM New Prevention Technologies Workshop Module 3: Overview of Prevention Research UNDERSTANDING THE RESEARCH PROCESS Clinical Trials Process Lasts 12 – 18 months Studies Safety Phase I Smallest group of volunteers For Microbicides Lasts 1 – 6 months Studies Safety Phase II Lasts up to 2 years Studies Safety & Immunogenicity Larger group of volunteers Phase IIB “Test of Concept” Lasts up to 2 years Studies Safety & Acceptability Bigger than Phase II but smaller than Phase III Used to determine what products to move to Phase III Phase III Lasts 3 – 4 years Studies Safety & Efficacy Largest group of volunteers Licensure, Manufacturing & Distribution Lasts 2 – 4 years Studies Safety & Efficacy Sometimes simultaneous studies (HIV+ and penile) For Vaccines Preclinical The product pipeline 1 in large-scale efficacy trials 8 in early human safety trials Preclinical testing More than 50 candidates Early-stage concepts Source: Alliance for Microbicide Development None of this research would be possible without the willingness and dedication of the study volunteers! Experience of a trial participant Family Planning Informed consent for screening Informed consent to enrol Condoms + experimental gel Condoms + placebo Screening Visit 1: Education about the trial, HIV and pregnancy test, sexually transmitted infection tests and treatment, baseline data collected Screening Visit 2: Results of tests, counselling, education about trial reinforced Randomisation: Participant assigned by chance to a group UNDERSTANDING TRIAL RESULTS What is a Successful Trial? A Successful Trial A successful trial is not necessarily one that yields a positive result but one where the: Research plan conducted as stated & sound methodology Trial provides further information Health of participants protected Trial continuously monitored at defined intervals Participants & community engaged with the research process in an ethical respectful, and efficient manner Study results communicated to participants, community & stakeholders Plan for access to study product developed in case of + result Scenario #1: Benefit (It Works!) Trial shows compelling evidence of benefit Examples: Male Circumcision (3 trials) Scenario #2: Flat Result The trial shows no benefit The product caused no harm Examples: Carraguard©, MIRA diaphragm Scenario #3: Evidence of Harm Trial shows product has no protection Product causes harm Usually, these trials will be closed early… Examples: N-9, Cellulose Sulfate Why might a trial end early? 4 Reasons a Trial Ends Early Evidence of Harm: There is evidence that the test product may be causing harm. Overwhelming Effect: The product being tested is definitely effective and there is proof of efficacy. Futility: In other words, the trial can no longer answer the assigned question. Concerns: Concerns may come from regulatory bodies, community, or the trial sponsor. Evidence of Harm: DSMB Stops Study DSMB stopped the CONRAD and FHI Cellulose Sulfate studies in 2007 CONRAD – Benin, India, South Africa, Uganda 1,333 enrolled 35 women seroconverted (23 in CS arm, 11 in placebo) DSMB met, saw possible evidence of harm, stopped trial, alerted FHI FHI – Nigeria 1,644 enrolled 21 women seroconverted (approx. same in each arm) DSMB met, saw no evidence of harm, stopped trial to err on the side of caution Overwhelming effect: Male circumcision 3 studies conducted: Orange Farm, Rakai, Kisumu In 2006, DSMBs closed the studies early due to overwhelming effect (from 51 to 60%) WHO published recommendation based on study results Closed for Futility: DSMB Discontinues One Arm Data monitors can also stop part of a trial. MDP 301 Trial of PRO 2000: 2% and 0.5% DSMB closed 2% arm “as there is no more than a small chance of the high dose showing protection against HIV infection compared to placebo gel” Remaining .05% and comparator gel arms continued Concerns: Study Ends Over Controversy Political controversy can halt trials just as quickly as scientific findings. Miscommunication between researchers and the community led to political controversy and halted PrEP trials in Cambodia and Cameroon in 2004. All Clinical Trial Results Are Valuable They can tell us which products are not worth pursuing They can point to the kinds of modifications that could be made to improve trial design They may yield beneficial information about behavioral and cultural practices that influence HIV transmission and clinical trial outcomes; and They provide valuable information about how prevention trials can be better managed. UNDERSTANDING PREVENTION TRIALS HIV Prevention Trials Differ From Treatment Trials Treatment Trials: Enroll those needing treatment – individual urgency. May help prevent disease progression. Only benefits those with the disease. HIV Prevention Trials: Enrolling healthy people – no immediate benefit to individual May help prevent disease transmission. Benefits society; everyone at risk of HIV. Special Challenges of HIV Prevention Trials Complex clinical trial design: multi-site, multi-country, 2,00010,000 participants, transnational research collaborations Healthy individuals -- yet at “high risk”: 3-5% annual incidence minimum Often involved marginalised or stigmatised populations (sex workers, IDU, MSM); stigma associated with HIV, sexual activity, drug use All new intervention likely to reduce, not eliminate risk = require large trials to detect partial efficacy No clear surrogate endpoints (“correlates of protection”); only new infections tell us whether a product works or not Results affected by user behaviour, in many cases Why are most of the phase III trials taking place in Africa and Asia? Microbicide trials require large numbers of women at risk of vaginally transmitted HIV High incidence Relatively stable (non-transient population) Little or no injection drug use Most populations of women in the US or Europe with high HIV incidence also use IV drugs Sample Size Calculations Effectiveness 20% 30% 40% 50% 60% 70% 80% 90% Annual HIV Sero-Incidence 1% 2% 3% 4% 110266 46315 24539 14736 9560 6529 4621 3353 54638 22965 12176 7320 4753 3249 2304 1673 36094 15181 8056 4847 3612 2158 1532 1115 26824 11289 5995 3609 2351 1612 1144 835 5% 21259 8955 4760 2868 1868 1282 913 666 Notes: Significance level = .05, power = 90%, test statistics and log rank test, two-tailed, equal size groups. Assumes 15 percent loss to follow-up. Figures prepared by Charlotte Ellertson and Kelly Blanchard using nQuery (version 1.0) survival analysis option. Exercise: Outcomes of past studies Signs of efficacy Safe Trend toward harm No efficacy What will NPTs mean for HIV prevention? The answer depends on us! “Science teaches us everything except what to think and what to do.” – Søren Kierkegaard