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By William Wang On Behalf of the ASA Biopharm Safety Working Group
Practical considerations in planning and implementing aggregate safety monitoring By William Wang On Behalf of the ASA Biopharm Safety Working Group
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Agenda Introduction of the ASA Safety Working Group
From the Program Safety Analysis Plan (PSAP) to the Aggregate Safety Assessment Plan (ASAP) Practical Considerations Concluding Remarks
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Safety Working Group: Formation and Mission
The ASA Biopharmaceutical Safety Working Group was initially created in 2014. It started with a working group on “Safety Strategies and Analysis” in 2014 Safety Monitoring Working Group was created in the fall of 2015, with mission “to help empower the biostatistics community to better enable qualitative and quantitative safety monitoring” Founding co-chairs were Dr Olga Manchenko and Dr Qi Jiang, current co-chairs are Judy Li and William Wang (effective Oct 2017)
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ASA Safety Working Group
Co-chairs: William Wang (Merck), Judy Li (Regeneron), Mission: Empower the biostatistics community and interdisciplinary safety management partnerships to better enable qualitative and quantitative safety evaluation throughout drug development life cycle Workstream 1a: Regulatory context, industry survey, planning framework Review paper on the global regulatory landscape and underlying quantitative principles Aggregate Safety Assessment Planning (ASAP) Points to Consider Workstream 1b: Safety Evaluation and Identification of Risk Clarify signal detection and evaluation for clinical development safety monitoring (new taskforce) WS1: Interdisciplinary Safety Evaluation (Joint with DIA ) Bayesian vs Frequentist Approach Blinded vs Unblinded Analyses Static and dynamic methods Visual analytics Meta-analysis Safety Enabled Benefit Risk Evaluation (new task force) WS2: Safety Monitoring Statistical Methodology Statistical and Design Consideration for RWE Statistical and Design Consideration for RCT Advanced Analytical and Machine Learning Methodologies for Qualitative or Quantitative Integration of the Multi-Source Safety Data WS3: Integration and Bridging the RWE and RCT for Safety Decision Making
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WS1: ASA-DIA Collaboration on Interdisciplinary & Multi-Regional Safety Evaluation
Activities: Across community collaborations: ASA/ DIA Interdisciplinary collaborations between statisticians and clinicians : Fun club presentations Multi-regional collaborations with European colleagues: brought balance between the FDA and the EMA to our paper and have clarified the regulatory landscape (FDA has placed the responsibility on sponsors to judge reasonable possibility and EMA wants to be more involved in the assessments) 2018 Q1-Q2 Deliveries: World Drug Safety Congress April 9 Introduction of the joint working group and deliverables (including the regulatory landscape and ASAP proposal) to safety community Industry Survey Paper (accepted by the DIA journal) Demonstrates how the industry survey can be used to map an action plan for meeting the demand for improved quantitative safety monitoring 10 new members enrolled into our Fan Club to beta-test WS1 deliverables (7 safety physicians and 3 statisticians)
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WS2:Statistical Methodology Deep Dive
Activities: Continue deep diving in statistical methodology for safety evaluation “Safety Enabled Benefit Risk” & “Safety Estimand” initiative 2018 Q1-Q2 Deliveries: DIA webinar April 19 safety monitoring in aggregation: interdisciplinary collaboration and methodology enablement MBSW May 14-16, 2018 Session: Bayesian Monitoring and Benefit-Risk Assessment of Safety Data - Presentations: Presentation: Programming and Visualization of Safety Data in the World of Big Data: NLP and ML Round Table Discussion: From Safety Statistics to Safety Science and Drug Safety Analytics IISA May , 2018 Session: Safety Monitoring in Clinical trials ICSA June 14-17, 2018 Session: Reasonable Possibility and Statistical Science in Drug Safety Monitoring (benefit risk ) DIA Webinar June 21, 2018 Getting the question right: benefit risk evaluation
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WS3: RCT, RWE and Advanced Analytics.
Activities: Charted the team Identified 3 areas of exploration: RCT, RWE and advanced analytics. Bi-weekly meetings started in March 2018 with regulatory background and case studies presentations shared by team members Next goal: Identify and clarify specific areas of WG focus and some short term and long term deliverables by July/August
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Agenda Introduction of the ASA Safety Working Group
From the Program Safety Analysis Plan (PSAP) to the Aggregate Safety Analysis Plan (ASAP) Practical Consideration Concluding Remarks
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Program Safety Analysis Plan (PSAP)
Safety Planning, Evaluation, and Reporting Team (SPERT) is formed by the PhRMA in to recommend a standard for safety planning, data collection, evaluation, and reporting. In their key 2009 publication* , they recommend: Multi-disciplinary Safety Management Teams (SMT), referencing CIOMS VI Program Safety Analysis Plan (PSAP): A proactive approach for sponsors to plan and review aggregated safety data on a regular and ongoing basis throughout the development program, rather than waiting until the time of submission * Crowe et al: Recommendations for safety planning, data collection, evaluation, and reporting during drug, biologic and vaccine development: a report of the safety planning, evaluation, and reporting team. Clinical Trials 2009; 6:
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Aggregate Safety Assessment Planning (ASAP)
A process to enable transparent and interdisciplinary collaboration in safety evaluation A process to accumulate safety knowledge from drug development life cycle (eg pre-clinical, early clinical, late development and post-marketing) A process to promote proactive planning and execution of safety monitoring A process to prepare the safety filing
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Key Components of the ASAP
Characterization of the emerging safety profile of the product (“safety story”) Ensure a consistent approach to collection and analysis of the safety data across the program Description of ongoing aggregate safety signal detection and evaluation methods Preparation for regulatory application filing and periodic reporting
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ASAP as a integrated part of the Drug Development Life Cycle
Phase 1-2a Phase 2a Phase 2b Early Ph 3 Ph 3; Prep /Completion of Submission Deliverables Post-marketing Benefit-Risk Strategic Thinking and Planning Emerging Safety Profile Safety Governance / Regulatory Reporting Master ASAP Program-level definitions AESIs defined Program-level aggregation conventions Background AE rates Update Master ASAP ISS SAP ISS, CSS/CO EuRMP Safety in Label (USPI, SmPc) PBRER Ad hoc regulatory queries Ties to Real World Data sources Consider: Target Product Profile Benefit Risk Value Tree Preclincal Data MOA/Related product information +Regulatory feedback Modular Approach to Building the Safety Story Benefit-Risk Thinking and Planning Begins early (e.g. Phase 1/2a), builds over time Safety Governance/Regulatory Reporting Aggregate safety reports Periodic Safety Update Reports Regulatory requests Emerging Safety Profile Reference Safety Information / Label Important Risks / RMP Risk Mitigation AESI Adverse events of special interest BR Benefit-Risk CTD Common Technical Document DSCI Development Safety Core Information (internal safety doc) dRMP Development Risk Management Plan (internal safety doc) DSUR Development Safety Update Report EuRMP Risk Management Plan (for EMA) IB Investigator Brochure IND Investigational New Drug (for FDA) ISS Integrated Summary of Safety (for FDA) PBRER Periodic Benefit Risk Evaluation Report RSI Reference Safety Information SAP Statistical Analysis Plan SmPc Summary of Product Characteristics (EMA) USPI Package Insert (fFDA) RSI, DCSI, DSUR, dRMP Monitoring Ongoing Trials Safety monitoring questions Output displays Analytical methods + New Information from Clinical Trials or External sources Ph 2 Study SAPs Safety aspects
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Agenda Introduction of the ASA Safety Working Group
From the Program Safety Analysis Plan (PSAP) to the Aggregate Safety Analysis Plan (ASAP) Practical Considerations Concluding Remarks
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Practical Considerations of ASAP Implementation
Getting the partnership right (GTPR) Getting the question right (GTQR) Getting the estimands right (GTER) Getting the data right (GTDR) Getting the monitoring right (GTMR) Getting the story right (GTSR) Getting the tools right (GTTR) ….
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Practical Considerations of ASAP Implementation: Getting the partnership right (GTPR)
Charter the right team: Statistician(s), Safety Scientist(s), Clinical Scientist(s), Epidemiologist …. Leverage each function’s unique perspective Integrate preclinical and early clinical knowledge Reach shared understanding of safety profile
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Practical Considerations of ASAP Implementation: Getting the question right (GTQR)
Signal detection vs signal validation? To rule out harm vs to claim benefit?
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Practical Considerations of ASAP Implementation: Getting the estimand right (GTER)
Treatment policy Account for all safety events during the follow-up regardless of intercurrent events, such as treatment discontinuation or rescue med. Composite Combine the intercurrent event into a composite safety endpoint, e.g., subject discontinues due to AE as a component of the composite safety event Hypothetical Would the subject develop the adverse events if he/she did not have the intercurrent event. Principal stratum Defines subset of patients in whom the intercurrent event occurs in one or both treatments. Causal inference methods on safety evaluation are required. While on treatment Only accounts for adverse events prior to the occurrence of an intercurrent event, e.g. before rescue meds.
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Practical Considerations of ASAP Implementation: Getting the estimand right (cont)
AE Metric Type of Measure Features Crude rate Count Short exposure time Fixed f-u time Risk is relatively constant Exposure-adjusted incidence rate Counts per total person-time at risk Individual f-u time Time is continuous 3. Kaplan-Meier Cumulative rate Counts accumulating over time intervals of exposure Risk can vary over time 4. Hazard ratio Ratio of two hazard rates Covariates 5. Restricted mean survival time Area under the survival curve Average time to failure up to the specified time Well defined irrespective of risk pattern over time
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Practical Considerations of ASAP Implementation: Getting the data right (GTDR)
Quality-by-design (ICH E6 and ICH E8) Ensure key safety information are built into the design and data collection Ensure consistent adjudication, coding and risk-based monitoring
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Practical Considerations of ASAP Implementation: Getting the monitoring right (GTMR)
Fit for purpose: Blinded vs unblinded aggregate monitoring Proper pooling strategy: Across studies Across indications Across stages (time dimensions) Proper right tools and statistical methodologies Meta Analytical approach vs Simpson’s paradox Bayesian and likelihood principles Integrating vs bridging RCT and RWE Visual analytical solutions
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Practical Considerations of ASAP Implementation: Getting the story right (GTSR)
ASAP to drive the safety preparation for the core company data sheet (CCDS) Use the ASAP and CCDS to build ISS, RMP, CTD (2.7.4) and SUR
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Practical Considerations of ASAP Implementation: Getting the leadership right (GTLR)
Enhance our skills not only in dealing with uncertainty , but equally important, in dealing with ambiguity Enhance our holistic thinking and decision making skills Enhance our culture intelligence Choose to lead …
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