Trial Designs and Endpoints

Total Page:16

File Type:pdf, Size:1020Kb

Trial Designs and Endpoints Clinical Development Challenges: Trial Designs and Endpoints Menno de Jong Department of Medical Microbiology Academic Medical Center, University of Amsterdam ISIRV - Options IX for the Control of Influenza Menno de Jong, MD PhD Academic Medical Center University of Amsterdam Amsterdam, the Netherlands I have financial relationship(s) with: Research grant: Crucell Advisory Boards: Crucell, AIMM therapeutics, MedImmune, Avi Biopharma AND My presentation does include discussion of off-label or investigational use of antivirals. Placebo-controlled RCTs of neuraminidase inhibitors: mostly in previously healthy people with mild flu • Symptom relief as primary endpoint Observational studies point to benefits of oseltamivir treatment in hospitalized patients Muthuri SG et al. Antivirals for influenza: current state of affairs • Licensed agents only for treatment of acute uncomplicated flu – Adamantanes: • amantadine, rimantadine • not recommended due to resistance in circulating strains – Neuraminidase inhibitors: • oseltamivir (oral), zanamivir (inhaled) • US, Japan, S Korea: peramivir (IV); Japan: laninamivir (inhaled) • No licensed agents for treatment of serious/hospitalized flu Guidelines recommend (off-license) use of oseltamivir for severe influenza Mind the gap “Rational believers” “Rational non-believers” - Flu is caused by influenza viruses - No evidence from RCTs and can be severe - Oseltamivir inhibits flu viruses - Proven efficacy for uncomplicated flu - Observational studies strongly suggest efficacy for severe flu Treat patients with severe disease Not rational to treat at present and those at risk for severe disease How to determine efficacy of new antivirals in patients with severe influenza? Efficacy studies in severe hospitalized influenza are very complicated • No formal demonstration of clinical efficacy for any antiviral – FDA: active-controlled non-inferiority trial is not an option • Current treatment guidelines prevent placebo controls – FDA: dose-response, or superiority when added to ‘standard of care’ • No validated efficacy endpoints – FDA: endpoints should demonstrate improvement in how the patient feels, functions or survives; primary virological endpoint not appropriate. • Superiority trial: peramivir vs placebo added to standard-of-care (SOC) • Primary efficacy analysis in population not receiving oseltamivir as SOC • Hospitalized patients, broad inclusion criteria, broad geography • Primary endpoint: time to clinical resolution (TTCR) = resolution ≥ 4 of 5 vital signs: Study period: 2009-2012 placebo vs peramivir Study terminated prematurely for futility after preplanned interim analysis The challenges encountered: • Patient enrollment (n = 405) – Long study period (2009-2012), 6 influenza seasons – >300 sites, 21 countries: • no enrollment from > 70% of sites; 6% of sites enrolled 63% of patients • ≈ 90% of non-NAI SOC patients enrolled from India/Eastern Europe • Heterogeneous patient population – broad spectrum of illness severity – ≈ 70% comorbidities and/or age > 60 years – variety of influenza (sub)types • Unvalidated clinical endpoint (TTCR) • 2007 – 2010 • 13 hospitals, 4 countries • 699 screened, 326 randomized primer sand probesto enablethem to detect it by RT-PCR. Furthermore, we wer e able to describe the first worldwide transmission of oseltamivir resi st ant pH1N1 in a com- munity cluster [9]. Laboratory Quality Enhancement Program In partnership with Family Health International (FHI), the SEAICRN initi- ated a clinical laboratory quality improve- ment program in the region. This includ- ed: (i) baseline assessment of each hospital clinical laboratory against international standards, ( ii) inventory, maintenance, and calibration of instruments, (iii) enroll- ment in external quality assurance pro- gram, (iv) assessment of training needs, (v) review of normal reference values used in the laboratory, and (vi) accreditation status of the laboratories by local and interna- tional accreditation bodies. The baseline Figure 1. South East Asia Infectious Disease Clinical Research Network sites and assessments evaluated the overall quality laboratories. doi:10.1371/journal.pmed.1000231.g001 of the clinical laboratory and helped to develop short- and long-term recommen- dations for improvement. Based on the trained in influenza real-time RT-PCR testing, storing, shipping, and document- assessment and recommendations, subse- diagnostics and molecular diagnostics in ing data from trial specimens according to quent follow-up visits and technical sup- general, including principles of unidirec- protocol requirements. A centralized spec- port were provided to each hospital to tional workflow and prevention of carry- imen labeling and database system was set implement those recommendations. over contamination. These trainings were up to track and trace all stored specimens Laboratory management staff in each performed on an ongoing basis at the for the SEAICRN studies. Currently the hospital were trained and encouraged to reference laboratory in HoChi Minh City, SEAICRN uses Freezerworks software implement a quality management system. followed by on-site training. To ensure (Dataworks Development; http:/ / www. This included development and imple- quality, each MDL laboratory was en- freezerworks.com/ ) to track study speci- mentation of quality and technical manu- rolled in at least two different external mens and aliquots. Sites received deep als, standard operating procedures (SOPs), quality assurance programs for molecular freezers for adequate specimen storage and a document control system. To help influenza diagnostics. Furthermore, profi- and power back-up systems were installed to improve laboratory quality it was ciency testing for diagnosing influenza by where needed to ensure an uninterrupted necessary to appoint a senior staff member RT-PCR was performed before sites were power supply. Table 2 summarizes the as a Quality Officer to oversee all aspects allowed to start screening patients for the required laboratory capacity and what was of laboratory quality and the quality studies. done to achieve this. enhancement program. Furthermore, Each hospital is encouraged to use the The laboratory capacity program of the each laboratory was supported with nec- MDL for purposes other than SEAICRN- SEAICRN enabled usto rapidly respond to essary instruments, and staff were encour- related research activities, such as HIV, changes in influenza epidemiology, su ch as aged to establish and monitor an equip- hepatitis, dengue, meningitis, and enceph- thespread of naturally occurringoseltamivir ment maintenance and calibration alitis testing by molecular techniques. The resi st ance in seasonal H1N1 virusesand the program. All staff from each laboratory philosophy is that it is important and recent emergence of the novel influenza A were trained on standards developed by highly beneficial to increase expertise in (H 1N1) st rain (pH1N1) in April 2009. In the technical committee of the Interna- detecting infectious agents by molecular response to the increasi ng rates of oseltami- tional Organisation for Standardisation diagnostics and so stimulate the imple- vir resi st ance in seasonal H1N1 viruses, (ISO15189:2003 and ISO15190:2003, mentation of other relevant molecular before the emer gence of pH1N1, the http:/ / www.iso.org/ ) [10]. diagnostic tests. For example, after imple- laboratory committee decided to test Asi an During the clinical trials it was noticed mentation of a Streptococcus suis–specific isolates and respiratory sp ecimens from that occasionally reported biochemistry molecular test in the MDL of the National influenza patientsin our st udies [7,8]. This results were implausible. In response, a Hospital of Tropical Diseases, Vietnam, it st ep gener ated valuableresi st ance datafrom continuous improvement system was im- wasfound that S. suisisa common cause of theregion, which wereinst antly shared with plemented to ensure that laboratory test bacterial meningitis in adultsin Hanoi [6]. the national and inter national medical and results are reviewed by a qualified person In preparation for the start of the scientific community. In April 2009, when to identify performance issues. In addition, clinical trials, dedicated laboratory trial confronted with a pandemic threat of this advice wasgiven on proper use of internal staff members were appointed to become novel influenza virus, we prepared collabo- controls, how to monitor and investigate staff of the national institutions. They rating laboratories by providing them with the possible cause(s) of controls not received training on processing, labeling, sequence information of this st rain and meeting acceptance criteria, and correc- PLoS Medicine | www.plosmedicine.org 3 April 2010 | Volume 7 | Issue 4 | e1000231 In early development: European Clinical Research organization for Antimicrobial resistance and emerging Infectious Diseases (ECRAID) Smarter trial designs to improve efficiency • Traditional RCTs: – long, slow & expensive to conduct – provide ‘average’ answers • fail to capture the nuances of real-life clinical care • Adaptive design RCTs: – takes advantage of accumulating data during trial – earlier answers by response-adaptive randomisation • more patients randomized to effective intervention • reduce imbalances of subgroups between study arms • detect efficacy ‘signals’ in subgroups – flexible • test several interventions concurrently • add & delete study arms Funded by the European Union The challenges encountered: •
Recommended publications
  • Adaptive Designs in Clinical Trials: Why Use Them, and How to Run and Report Them Philip Pallmann1* , Alun W
    Pallmann et al. BMC Medicine (2018) 16:29 https://doi.org/10.1186/s12916-018-1017-7 CORRESPONDENCE Open Access Adaptive designs in clinical trials: why use them, and how to run and report them Philip Pallmann1* , Alun W. Bedding2, Babak Choodari-Oskooei3, Munyaradzi Dimairo4,LauraFlight5, Lisa V. Hampson1,6, Jane Holmes7, Adrian P. Mander8, Lang’o Odondi7, Matthew R. Sydes3,SofíaS.Villar8, James M. S. Wason8,9, Christopher J. Weir10, Graham M. Wheeler8,11, Christina Yap12 and Thomas Jaki1 Abstract Adaptive designs can make clinical trials more flexible by utilising results accumulating in the trial to modify the trial’s course in accordance with pre-specified rules. Trials with an adaptive design are often more efficient, informative and ethical than trials with a traditional fixed design since they often make better use of resources such as time and money, and might require fewer participants. Adaptive designs can be applied across all phases of clinical research, from early-phase dose escalation to confirmatory trials. The pace of the uptake of adaptive designs in clinical research, however, has remained well behind that of the statistical literature introducing new methods and highlighting their potential advantages. We speculate that one factor contributing to this is that the full range of adaptations available to trial designs, as well as their goals, advantages and limitations, remains unfamiliar to many parts of the clinical community. Additionally, the term adaptive design has been misleadingly used as an all-encompassing label to refer to certain methods that could be deemed controversial or that have been inadequately implemented. We believe that even if the planning and analysis of a trial is undertaken by an expert statistician, it is essential that the investigators understand the implications of using an adaptive design, for example, what the practical challenges are, what can (and cannot) be inferred from the results of such a trial, and how to report and communicate the results.
    [Show full text]
  • 3 Regulatory Aspects in Using Surrogate Markers in Clinical Trials
    3 Regulatory Aspects in Using Surrogate Markers in Clinical Trials Aloka Chakravarty 3.1 Introduction and Motivation Surrogate marker plays an important role in the regulatory decision pro- cesses in drug approval. The possibility of reduced sample size or trial duration when a distal clinical endpoint is replaced by a more proximal one hold real benefit in terms of reaching the intended patient population faster, cheaper, and safer as well as a better characterization of the efficacy profile. In situations where endpoint measurements have competing risks or are invasive in nature, certain latitude in measurement error can be accepted by deliberately choosing an alternate endpoint in compensation for a better quality of life or for ease of measurement. 3.1.1 Definitions and Their Regulatory Ramifications Over the years, many authors have given various definitions for a surrogate marker. Some of the operational ramifications of these definitions will be examined in their relationship to drug development. Wittes, Lakatos, and Probstfield (1989) defined surrogate endpoint sim- ply as “an endpoint measured in lieu of some so-called ‘true’ endpoint.” While it provides the core, this definition does not provide any operational motivation. Ellenberg and Hamilton (1989) provides this basis by stating: “investigators use surrogate endpoints when the endpoint of interest is too difficult and/or expensive to measure routinely and when they can define some other, more readily measurable endpoint, which is sufficiently well correlated with the first to justify its use as a substitute.” This paved the way to a statistical definition of a surrogate endpoint by Prentice (1989): 14 Aloka Chakravarty “a response variable for which a test of null hypothesis of no relationship to the treatment groups under comparison is also a valid test of the cor- responding null hypothesis based on the true endpoint.” This definition, also known as the Prentice Criteria, is often very hard to verify in real-life clinical trials.
    [Show full text]
  • Fda Guidance Clinical Trial Imaging Endpoints
    Fda Guidance Clinical Trial Imaging Endpoints Acetic Eddie hypostatize or slopes some taphephobia acutely, however overfull Andrey poetizes shily or mews. Meek Benny limed his micropyle decompounds methodically. Lilliputian and sipunculid Roice cone, but Konrad labially pommel her gabber. In clinical guidance The goal of turning ASH-FDA Sickle Cell Disease Clinical Endpoints Workshop. New FDA Guidance on General Clinical Trial Conduct unless the. The influence of alternative laboratories and imaging centers for protocol-specified assessments. Endpoint Adjudication Improving Data Quality Validating Trial Processes. The FDA has just April 201 released the final guidance on Imaging. A people of FDA Guidance on COVID-19 Patient Safety. In August 2011 FDA released Clinical Trial Imaging Endpoint. Of efficacy endpoints in clinical trials and mental disease biomarkers. By FDA in its 201 guidance for Clinical Trial Imaging Endpoints. Guidance Submit electronic comments to httpwwwregulationsgov Submit. Clinical Trial and Imaging subgroup report European. FDA's guidance Investigational Device Exemptions IDEs for Early Feasibility Medical Device Clinical Studies Including Certain First known Human FIH Studies. To the sponsor remotely such as laboratory and radiology reports or source. 2015 Clinical Trial Imaging Endpoint Process Standards Draft Guidance PDF 675KB. We provide informed guidance on the proposed imaging endpoints for trump trial. On endpoint for measuring an se table also specify as normal imaging that it. FDA Guidance on Clinical Trials During COVID-19 News. Innovative QUIBIM. Cytel's Response FDA Guidance on thousand of Clinical Trials during the. USA Guidance Clinical Trial Imaging Endpoint Process. Jnm5302NLMIU-Nmaa 1313 Journal of space Medicine. FDA posts guidance on endpoints in osteoarthritis trials.
    [Show full text]
  • Conducting Clinical Studies in Low Incidence/Rare Conditions: Scientific Challenges and Study Design Considerations
    Conducting Clinical Studies in Low Incidence/Rare Conditions: Scientific Challenges and Study Design Considerations William Irish, PhD, MSc CTI Clinical Trial & Consulting Services Where Life-changing Therapies Turn First® 1 Disclosure • I am a full time employee of CTI Clinical Trial and Consulting Services, an international contract research organization that delivers a full spectrum of clinical trial and consulting services to the pharmaceutical and biotechnology industry. Where Life-changing Therapies Turn First® 2 Further Disclosure … Where Life-changing Therapies Turn First® 3 Scientific Challenges • Very few epidemiologic studies have been performed describing the occurrence of AMR • Reported incidence varies depending on: • Type of organ transplanted • Local practice • diagnostic criteria & clinical protocol • Period studied • Patient population/Geographic region • Clinical follow-up and management Where Life-changing Therapies Turn First® 4 Scientific Challenges (cont’d) • Requires multi-center, multi-country participation • Inherently different healthcare systems, treatment options, and management approaches • Study design and analysis complexity • Prevention versus treatment • What defines success? • What defines enrollment criteria? Where Life-changing Therapies Turn First® 5 Regulatory Challenges • No special methods for designing, carrying out or analyzing clinical trials in low incidence/rare conditions • Guidelines relating to common diseases are also applicable to rare conditions • Choice of endpoints • Reliable & assessed
    [Show full text]
  • Clinical Endpoints
    GUIDELINE Endpoints used for relative effectiveness assessment of pharmaceuticals: CLINICAL ENDPOINTS Final version February 2013 EUnetHTA – European network for Health Technology Assessment 1 The primary objective of EUnetHTA JA1 WP5 methodology guidelines is to focus on methodological challenges that are encountered by HTA assessors while performing a rapid relative effectiveness assessment of pharmaceuticals. This guideline “Endpoints used for REA of pharmaceuticals – Clinical endpoints” has been elaborated by experts from HIQA, reviewed and validated by HAS and all members of WP5 of the EUnetHTA network. The whole process was coordinated by HAS. As such the guideline represents a consolidated view of non-binding recommendations of EUnetHTA network members and in no case an official opinion of the participating institutions or individuals. The EUnetHTA draft guideline on clinical endpoints is a work in progress, the aim of which is to reach the consensus on clinical endpoints and their assessment that is common to all or most of the European reimbursement authorities in charge of assessing new drugs. As such, it may be amended in future to better represent common thinking in this respect. EUnetHTA – European network for Health Technology Assessment 2 Table of contents Acronyms – Abbreviations.................................................................................4 Summary and Recommendations.........................................................................5 Summary ..............................................................................................................5
    [Show full text]
  • Adaptive Designs and Small Clinical Trials
    ADAPTIVE DESIGNS AND SMALL CLINICAL TRIALS Christopher S. Coffey Professor, Department of Biostatistics Director, Clinical Trials Statistical and Data Management Center University of Iowa OUTLINE In this lecture, we will: I. Discuss the importance of adequate study planning for small clinical trials II. Understand what is meant by an adaptive design III. Understand differences among various types of adaptive designs – with special emphasis on those related to small clinical trials 2 OVERVIEW The wonderful land of Asymptopia: 3 OVERVIEW Small clinical trials present unique challenges. Small clinical trials are more prone to variability and may only be adequately powered to detect large intervention effects. As a consequence, the importance of adequate study planning is magnified in small clinical trials. It is often the case that more time is required during the study planning for small clinical trials. Critically important to have a true collaboration between clinicians and statisticians! 4 OVERVIEW To compute the required sample size for addressing the primary question of interest, we need to specify: Target power The significance level – α A clinically important difference that we wish to detect – δ Any additional nuisance parameters (variance, control group event rate, etc.) 5 OVERVIEW Small changes in design parameters may yield large changes in power. In general, one can increase the sample size to achieve a greater level of power. However, this may not be possible in small clinical trials and/or studies of rare diseases. In such instances, it is vitally important to minimize the variability of the treatment difference of interest. Novel designs also have great appeal in such settings.
    [Show full text]
  • Clinical Trial Endpoints for Use in Medical Product Development
    Clinical trial endpoints for use in medical product development Elektra J Papadopoulos, MD, MPH Associate Director for Clinical Outcome Assessments Staff Office of New Drugs Center for Drug Evaluation and Research US Food and Drug Administration FDA Clinical Investigator Training Course Email: [email protected] November 13, 2018 Disclaimer • Views expressed in this presentation are those of the speaker and do not necessarily represent an official FDA position. 2 Overview • Background and key terms • Clinical outcome assessments • Surrogate endpoints • Use of multiple endpoints 3 Purpose of Efficacy Outcome Assessment • Clinical Benefit: – A positive clinically meaningful effect of an intervention on how an individual feels, functions, or survives • We use efficacy endpoints to assess the clinical benefit of medical products • Ultimately, how we describe this clinical benefit to patients, providers and other stakeholders is determined by the concept (or outcome) that was measured 4 What is an endpoint? • Endpoint: A precisely defined variable intended to reflect an outcome of interest that is prespecified (i.e., chosen before the data are analyzed) and statistically analyzed to address a particular research question www.fda.gov 5 Drug regulations for outcome assessments • “The methods of assessment of subjects’ response are well-defined and reliable. • The protocol for the study and the report of results should explain the variables measured, the methods of observation, and the criteria used to assess response.” • 21 CFR 314.126(b)(6) 6 Why does FDA evaluate endpoints to ensure they’re well-defined and reliable? 1. Endpoints form the basis of labeling claims: Claims cannot be false or misleading 2.
    [Show full text]
  • An Alternative Trial-Level Measure for Evaluating Failure-Time Surrogate
    Contemporary Clinical Trials Communications 15 (2019) 100402 Contents lists available at ScienceDirect Contemporary Clinical Trials Communications journal homepage: www.elsevier.com/locate/conctc An alternative trial-level measure for evaluating failure-time surrogate T endpoints based on prediction error Shaima Belhechmia,b, Stefan Michielsa,b,*, Xavier Paolettia,b, Federico Rotoloc a Université Paris-Saclay, Univ. Paris-Sud, UVSQ, CESP, INSERM, U1018 ONCOSTAT, F-94805, Villejuif, France b Gustave Roussy, Service de biostatistique et d’épidémiologie, F-94805, Villejuif, France c Innate Pharma, Biostatistics and Data Management Unit, F-13009, Marseille, France ARTICLE INFO ABSTRACT Keywords: To validate a failure-time surrogate for an established failure-time clinical endpoint such as overall survival, the Survival analysis meta-analytic approach is commonly used. The standard correlation approach considers two levels: the in- Surrogate endpoint evaluation dividual level, with Kendall's τ measuring the rank correlation between the endpoints, and the trial level, with Bivariate models the coefficient of determination R2 measuring the correlation between the treatment effects on the surrogate and Copula models on the final endpoint. However, the estimation of is not robust with respect to the estimation error of the trial- Cox model specific treatment effects. Simulation studies. 2010 MSC: 00–01 The alternative proposed in this article uses a prediction error based on a measure of the weighted difference 99–00 between the observed treatment effect on the final endpoint and a model-based predicted effect. The measures can be estimated by cross-validation within the meta-analytic setting or external validation on a set of trials. Several distances are presented, with varying weights, based on the standard error of the observed treatment effect and of its predicted value.
    [Show full text]
  • Adaptive Platform Trials
    Corrected: Author Correction PERSPECTIVES For example, APTs require considerable OPINION pretrial evaluation through simulation to assess the consequences of patient selection Adaptive platform trials: definition, and stratification, organization of study arms, within- trial adaptations, overarching statistical modelling and miscellaneous design, conduct and reporting issues such as modelling for drift in the standard of care used as a control over time. considerations In addition, once APTs are operational, transparent reporting of APT results requires The Adaptive Platform Trials Coalition accommodation for the fact that estimates of efficacy are typically derived from a model Abstract | Researchers, clinicians, policymakers and patients are increasingly that uses information from parts of the interested in questions about therapeutic interventions that are difficult or costly APT that are ongoing, and may be blinded. to answer with traditional, free- standing, parallel- group randomized controlled As several groups are launching APTs, trials (RCTs). Examples include scenarios in which there is a desire to compare the Adaptive Platform Trials Coalition was multiple interventions, to generate separate effect estimates across subgroups of formed to generate standardized definitions, share best practices, discuss common design patients with distinct but related conditions or clinical features, or to minimize features and address oversight and reporting. downtime between trials. In response, researchers have proposed new RCT designs This paper is based on the findings from such as adaptive platform trials (APTs), which are able to study multiple the first meeting of this coalition, held in interventions in a disease or condition in a perpetual manner, with interventions Boston, Massachusetts in May 2017, with entering and leaving the platform on the basis of a predefined decision algorithm.
    [Show full text]
  • Biomarkers for Cystic Fibrosis Drug Development
    Journal of Cystic Fibrosis 15 (2016) 714–723 www.elsevier.com/locate/jcf Review Biomarkers for cystic fibrosis drug development ⁎ Marianne S. Muhlebach a, ,1, JP Clancy b,1, Sonya L. Heltshe c, Assem Ziady b, Tom Kelley d, Frank Accurso f, Joseph Pilewski g, Nicole Mayer-Hamblett c,e, Elizabeth Joseloff h, Scott D. Sagel f a Division of Pulmonology, Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States b Division of Pulmonary Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States c Division of Pulmonary, Department of Pediatrics, University of Washington, Seattle, WA, United States d Department of Biostatistics, University of Washington, Seattle, WA, United States e Division of Pulmonology, Department of Pediatrics, Case Western Reserve University, Cleveland, OH, United States f Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, CO, United States g Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States h Cystic Fibrosis Foundation, Bethesda, MD, United States Received 12 October 2016; accepted 12 October 2016 Available online 27 October 2016 Abstract Purpose: To provide a review of the status of biomarkers in cystic fibrosis drug development, including regulatory definitions and considerations, a summary of biomarkers in current use with supportive data, current gaps, and future needs. Methods: Biomarkers are considered across several areas of CF drug development, including cystic fibrosis transmembrane conductance regulator modulation, infection, and inflammation. Results: Sweat chloride, nasal potential difference, and intestinal current measurements have been standardized and examined in the context of multicenter trials to quantify CFTR function.
    [Show full text]
  • Concepts and Case Study Template for Surrogate Endpoints Workshop
    Concepts and Case Study Template for Surrogate Endpoints Workshop Lisa M. McShane, Ph.D. Biometric Research Program National Cancer Institute Medical Product Development • GOAL is to improve how an individual • feels Reflected in a • functions clinical outcome* • survives • CHALLENGES might include that studies • take too long • cost too much • too risky • not feasible *BEST (Biomarkers, EndpointS, and other Tools) glossary: https://www.ncbi.nlm.nih.gov/books/NBK338448/ Use of Biomarkers in Medical Product Development • Biomarkers have potential to make medical product development faster, more efficient, safer, and more feasible • Biomarker qualification* is a conclusion, based on a formal regulatory process, that within the stated context of use, a medical product development tool can be relied upon to have a specific interpretation and application in medical product development and regulatory review *BEST (Biomarkers, EndpointS, and other Tools) glossary: https://www.ncbi.nlm.nih.gov/books/NBK338448/ Surrogate Endpoint* An endpoint that is used in clinical trials as a substitute for a direct measure of how a patient feels, functions, or survives. A surrogate endpoint does not measure the clinical benefit of primary interest in and of itself, but rather is expected to predict that clinical benefit or harm based on epidemiologic, therapeutic, pathophysiologic, or other scientific evidence. DESIRABLE SURROGATE ENDPOINTS typically satisfy one or more of the following: measured sooner, more easily, less invasively, or less expensively Most
    [Show full text]
  • Clinical Trials
    Clinical Trials: Highlights from Design to Conduct Masha Kocherginsky, PhD Biostascs Collaboraon Center Department of Prevenve Medicine Stascally Speaking … What’s next? Clinical Trials: Highlights from Design to Conduct Masha KocherginsKy, Friday, October 21 PhD, Associate Professor, Division of BiostaOsOcs, Department of Prevenve Medicine Finding Signals in Big Data Kwang-Youn A. Kim, PhD, Assistant Tuesday, October 25 Professor, Division of Biostascs, Department of Prevenve Medicine Enhancing Rigor and Transparency in Research: Adopng Tools Friday, October 28 that Support Reproducible Research Leah J. Welty, PhD, BCC Director, Associate Professor, Division of BiostaOsOcs, Department of Prevenve Medicine All lectures will be held from noon to 1 pm in Hughes Auditorium, Robert H. Lurie Medical Research Center, 303 E. Superior St. 2 BCC: Biostascs Collaboraon Center Who We Are Leah J. Welty, PhD Joan S. Chmiel, PhD Jody D. Ciolino, PhD Kwang-Youn A. Kim, PhD Assoc. Professor Professor Asst. Professor Asst. Professor BCC Director Alfred W. Rademaker, PhD Masha Kocherginsky, PhD Mary J. Kwasny, ScD Julia Lee, PhD, MPH Professor Assoc. Professor Assoc. Professor Assoc. Professor Not Pictured: 1. David A. Aaby, MS Senior Stat. Analyst 2. Tameka L. Brannon Financial | Research Hannah L. Palac, MS Gerald W. Rouleau, MS Amy Yang, MS Administrator Senior Stat. Analyst Stat. Analyst Senior Stat. Analyst Biostascs Collaboraon Center |680 N. Lake Shore Drive, Suite 1400 |Chicago, IL 60611 3 BCC: Biostascs Collaboraon Center What We Do Our mission is to support FSM inves>gators in the conduct of high- quality, innovave health-related research by providing exper>se in biostas>cs, stas>cal programming, and data management.
    [Show full text]