Recent Publication: On shapes of ADR report accumulation data

Posted by Cytel

Jul 18, 2018 4:40:00 AM

A recent article published by Cytel authors Samadhan Ghubade, Sharayu Paranjpe, Kushagra Gupta, Anil Gore and colleague Krishna Asvalayan in the journal Current Science, tackles the topic of adverse drug reactions (ADRs) – a matter of great concern in drug research. The authors focused their research on drugs which had been either banned or withdrawn due to a serious problem of ADRs and applied quantitative modeling techniques to see if a systematic pattern of safety signals could be detected within the ADR count data. In this blog, the publication’s authors share their thoughts on the goals, takeaways and next steps for the research and we also link to the full article.

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Topics: Cytel Strategic Consulting, Statistical Analysis, data science, pharmacovigilance, signal detection


Case Study:Creating an Effective Functional Services Partnership

Posted by Cytel

Jul 16, 2018 2:49:00 AM

In this blog we share a case study of how we established and ramped up a functional service outsourcing partnership for biostatistics, programming and data management.

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Topics: Statistical Programming, outsourcing, SAS


Unveiling New East 6.5 Modules: Join Our Webinar

Posted by Cytel

Jul 3, 2018 4:15:47 AM

 

 It’s shaping up to be a busy year for Cytel’s software development team with a number of upgrades and planned launches across our range of tools. (Watch this space for announcements soon on new quantitative decision-making software OK GO and an upgrade to EnForeSys). East, our industry leading platform for clinical trial design, simulation, and monitoring will be unveiling version 6.5 in the Fall, and delegates at the PSI conference in early June had the chance to grab a sneak peek of the new functionality in one to one demos.

We’ll also be opening the hood on the new design capabilities you can expect in East 6.5 at a complimentary webinar on Wednesday July 18, 11:00AM - 12:00 US EDT (16:00 UK, 17:00 EU).

Our presenters Pantelis Vlachos and Charles Liu, will introduce the 3 new available modules and share their insights on the supporting methodologies and their practical applications. New developments in the East software are typically derived from two sources: our team’s interaction with our customers, particularly during East training; and from our consulting practice when we help clients design their trials.

The new modules in East 6.5 include:
MCPMod (design with Multiple Comparisons Procedures)

MCPMod allows you to measure the likelihood that particular dose-response curves are the right mathematical model for a given set of data. East MCPMod will allow designing a trial using optimal allocation and then analyze the trial data using various dose/model selection criteria resulting
into a solid base (target dose) for the next phase confirmatory trial.

Population Enrichment (Adaptive designs)

An adaptive enrichment design allows the full population is segmented during interim analyses. Recently, we worked with TRACON Pharmaceuticals to design their TAPPAS trial that incorporated a population enrichment component to help overcome the potential heterogeneity of treatment effect between subpopulations for an angiosarcoma design.

Program-Level Design
It is important to take a strategic approach to clinical development to minimize the potential for Phase 3 attrition. This new module will help users apply simulations to optimize their clinical trial programs.
Click the button below to secure your place at the webinar. 

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Topics: East, Trial Design, Program and Portfolio Optimization, Adaptive Clinical Trials, phase 2, Simulations


Highlights from the PSI 2018 Conference

Posted by Cytel

Jul 2, 2018 10:00:00 AM

A number of the Cytel team were in Amsterdam, 3rd- 6th June 2018 for the PSI Conference. This year’s conference was held at the magnificent Beurs Van Berlage, a venue full of history and interesting architectural features. We took the opportunity to give delegates a first look at OK GO, our new clinical trial Go/No-Go decision-making software in this magnificent setting.

In this blog, we'll summarize some of the particular highlights from the sessions that our team members attended.

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Topics: Clinical Data, Adaptive Clinical Trials, biostatistics, adaptive designs, Bayesian, PSI Conference, estimands, data science


Measuring lots of little details: Non-Compartmental Analysis and the Early Phase Regulatory Environment.

Posted by Cytel

Jun 28, 2018 6:53:00 AM

 

By Esha Senchaudhuri

With thanks also to Jitendarreddy Seelam and Ramanatha Saralaya for their input.

The fact of the matter is that I now want to recall everything, every trifle, every little detail. I still want to collect my thoughts and - I can't, and now there are these little details, these little details...”
― Fyodor Dostoyevsky, The Meek One

Old Fyodor was hardly talking about clinical trials, but early phase trial sponsors can probably relate to a regulatory environment which requires systematic attention to details, the little details and all these little details. When conducting early phase studies, global regulators require submission of Non -Compartmental Analyses (NCAs) that measure factors such as extent and rate of exposure to a drug, without the complexity of strenuous assumptions or complex models. Through the use of rudimentary methods such as linear trapezoidal rules, NCAs make it relatively easy to measure the concentration of a drug in a body over time. They can capture length of exposure, and time of peak exposure, without the challenges of models that require independent validation [1]. While those other models are also becoming more common in quantitative pharmacometrics, ideally NCAs can complement these other methods.


It may be tempting to assume that due to the ease of measurement, it is unnecessary to invest in statistical expertise and reliable software for NCAs. While the calculations may not be as complex as other forms of pharmacometric modeling, taking shortcuts at this stage can prove problematic later on. 
Widely recognized for being ‘assumption-free’ [1] NCAs are a common subject of regulatory inquiries. Exposure and absorption data is obviously important for early phase trials, so NCAs are required for submission throughout the process. A strong data management system with reliable software can ensure that findings collected at this stage are streamlined across several early phase trials, making such information easy to access and ensuring a rapid response for regulators. Further, NCAs are often required to be submitted with early protocols making it useful to have statistical designers familiar with the NCA findings. As NCAs are an integral part of establishing an early phase audit trail, it is important to use NCA software that streamlines a detailed and complex workflow such as Phoenix WinNonlin. 


Accurate NCAs can combine with other forms of quantitative pharmacometric models like PK/PD analysis to build strong dose-response models for Phase 2. It is common knowledge that unreliable dose-response models in Phase 2 can create headaches for Phase 3 tests. Only 13.2% of Phase 3 trials that are accepted after initial rejection, are rejected on grounds of efficacy. More common reasons are dose selection, choice of endpoints, and other challenges that better Phase 2 modeling can prevent [2]. Working with statistical experts as early as Phase 1 can ensure that knowledge gleaned from NCAs can be employed to build stronger Phase 2 models, thus avoiding Phase 3 pitfalls.


Cytel has a dedicated team that has developed efficiencies and experience in early phase trials, including Non-Compartmental analyses. To learn more about our capabilities in this area, please click on the button below.

NCA
[1] Gabrielsson, J. and Weiner, D., 2012. Non-compartmental analysis. In Computational toxicology (pp. 377-389). Humana Press, Totowa, NJ.
[2] Sacks, L.V., Shamsuddin, H.H., Yasinskaya, Y.I., Bouri, K., Lanthier, M.L. and Sherman, R.E., 2014. Scientific and regulatory reasons for delay and denial of FDA approval of initial applications for new drugs, 2000-2012. Jama, 311(4), pp.378-384.

 

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Topics: Early Phase Trials, Clinical Development Strategy, pharmacology, clinical trials


The Importance of Standardization in Clinical Outsourcing

Posted by Cytel

Jun 19, 2018 9:30:00 AM

 

At the recent PCMG conference in Malta, Adrian Otte ( Independent Consultant, formerly VP Global Development Operations at Amgen) presented to delegates the strategic choices open to sponsors when  choosing an outsourcing model and the three fundamental issues in play: standardization, flexibility and cost. In Dr. Otte's view, standardization of systems and processes is key, but is often overlooked as a factor by companies of all sizes when deciding how to outsource clinical trial activities. In this blog, Dr Otte joins us to share his insights on this topic, as well as this views on how outsourcing has evolved in recent years, and the future trends that will have most impact. 

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Topics: Clinical Research Services, outsourcing, Clinical Development Strategy, clinical trials


What makes a good data manager?

Posted by Cytel

Jun 14, 2018 10:30:00 AM

In this blog, Paul Fardy, Executive Director of Data Management at Cytel shares his thoughts on how the data manager role has evolved. 

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Topics: big data, Biometrics, real world evidence, clinical data management, clinical trials


Career Perspectives: Interview with Andrea Hita, Biomedical Data Scientist

Posted by Cytel

Jun 7, 2018 8:39:00 AM

Cytel data scientists apply advanced statistical techniques including predictive modelling of biological processes and drug interactions to unlock the potential of big data.

In this blog from our Career Perspectives series, we talk to Andrea Hita, at Data Scientist at Cytel, to find out more about her career path, her current role at Cytel and her interests outside of work.

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Topics: Recruitment, Trial Design, adaptive designs, careers, model-informed-drug-development, clinical trials, data science, CRO, clinical research, R language, genetic algorithm


5 Reasons to Integrate Model-Based Meta-Analyses (MBMA) Into Your Clinical Development Strategy

Posted by Cytel

May 31, 2018 3:48:00 PM

By Esha Senchaudhuri

An important trend in clinical development involves integrating strategic pharmacometric analysis with program level decision-making, to make the most use of available data. This can occur in various forms, from leveraging preclinical data for go-no-go decision making [1], to the need for improved comparative effectiveness frameworks [2].

Here we have five reasons why you should consider utilizing model-based meta-analyses ( MBMAs)  for your program or portfolio development.

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Topics: pharmacometrics, biostatistics, pharmacology, meta-analysis, quantitative decision-making


Addressing Critical Unmet Oncology Needs in the Era of Precision Medicine

Posted by Cytel

May 23, 2018 12:21:00 PM

 

 

Our Industry Voices series showcases our clients’ innovative work and breakthrough therapeutics in oncologic indications and other critical areas of medical unmet need.

In this article, we sit down with Charles Theuer, M.D., CEO of TRACON Pharmaceuticals to discuss
his work, his views on the key advancements in oncology development, the unmet needs yet to be overcome, and the importance of efficient trial design in rare cancers. Click here to download a .pdf of the article, or read on. 

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Topics: Oncology, Phase 1, Clinical Development Strategy, Phase 3, Adaptive Clinical Trials, biostatistics


Exploring Differences Between Pinnacle 21 Community and Enterprise versions for CDISC Compliance

Posted by Cytel

May 22, 2018 6:39:00 AM

 At the recent CDISC EU Interchange in Berlin,  Angelo Tinazzi, Director of Clinical Data Standards and Submissions at Cytel, showcased a popular poster presentation analyzing the differences between the Pinnacle 21 enterprise (P21e) and community versions. Those working in the field of data standards, will know that Pinnacle 21 is led by the team that created OpenCDISC, and is now the leader in software and services for managing CDISC compliance and clinical data quality.  The organization continues to offer a community based software tool, in line with the OpenCDISC model, but now offers an enterprise version to sponsors and CROs, that is also used by the FDA itself. 

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Topics: Statistical Programming, CDISC


Rewriting the oncology textbook with cell-based immunotherapies

Posted by Cytel

May 16, 2018 11:00:00 AM

 

Our Industry Voices series showcases our clients’ innovative work and breakthrough therapeutics in oncologic indications and other critical areas of medical unmet need.

In this article, we are delighted to share an interview with Kurt Gunter, M.D., Chief Medical Officer of Cell Medica in which he discusses his work, his views on the key advancements in oncology development, the unmet needs yet to be overcome, and the importance of strategic biostatistics input to his organization. Read on, or click here to download a copy of the article to read offline.

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Topics: Oncology, Phase 1, Clinical Development Strategy, Phase 3, Adaptive Clinical Trials, biostatistics


Innovative Oncology Trial Designs in Practice

Posted by Cytel

May 9, 2018 10:22:00 AM

As we prepare to head to ASCO in under a month's time, we are pleased to share a new ebook that showcases some key applications of innovative trial designs in the oncology development space.

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Topics: Oncology, Phase 1, Clinical Development Strategy, Phase 3, Adaptive Clinical Trials, biostatistics


Breaking Boundaries in Drug Development at PSI

Posted by Cytel

May 2, 2018 5:07:00 AM


PSI is a global member organization dedicated to leading and promoting best practice and industry initiatives for statisticians in the biopharmaceutical industry. The PSI annual conference is going from strength to strength, attracting increasing numbers of delegates from Europe and beyond. With the 2018 conference taking place in Amsterdam in only a month’s time, we took the opportunity to sit down with Lucy Rowell, Senior Principal Statistical Scientist at Roche and the Conference Chair, to learn more about this year’s venue, themes, and new hot topics, along with insights on Lucy’s vision for the future of the PSI organization. We look forward to seeing you in The Netherlands! 


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Topics: biostatistics, data science, quantitative decision-making


Career Perspectives: Interview with Omar Sefiani, Principal Statistical Programmer

Posted by Cytel

Apr 28, 2018 9:50:00 AM

Cytel has industry-leading experts in Statistical Programming, our programmers have years of SAS® Programming expertise, combined with in-depth knowledge of the specific clinical subject matter, which allows for competent and on-time completion of tasks.

In this blog, we talk to Omar, who is based in Geneva to find out more about his career path, current role at Cytel and his interests outside of work.

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Topics: Recruitment, Trial Design, Statistical Programming, Statistical Analysis, Phase 3, CDISC, careers, clinical trials, CRO, clinical research


Infographic: Overcoming Data Management Challenges in Immuno-Oncology Trials

Posted by Cytel

Apr 25, 2018 10:13:00 AM

Data management is an essential building block for successful Immuno-Oncology (I-O) trials. At the Immuno-Oncology Clinical Trials operations meeting in New York in earlier this year,  Patti Arsenault, VP Quality Assurance at Cytel discussed with Christopher Lamplugh, AVP, Clinical Data Management, Global Data Operations at Merck, the key challenges for data management in the space, and what’s needed to overcome them. 

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Topics: Oncology, Data Management, Clinical Research Services, Clinical Data, EDC, database build, data manager, big data, clinical trials


Developing the Next Generation of Skills for Statistical Programmers

Posted by Cytel

Apr 18, 2018 6:09:00 AM

Our recent Clinical Biometrics Survey explored the views of respondents from across the statistical programming, biostatistics, and data management functions to learn their top challenges, and most important perceived industry trends and skills development. In this blog, our Ajay Sathe gives his perspectives on the key areas of personal and knowledge development that he believes statistical programmers need to focus on to keep abreast of the evolving drug development landscape. 

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Topics: Statistical Programming, biostatistics, SAS, clinical data management, R language


Interview with Ken Getz: Exploring Challenges of Clinical Trial Operations Part 2

Posted by Cytel

Apr 13, 2018 7:21:00 AM

We return to our discussion with Ken Getz of the Tufts CSDD for part 2 of our blog post on  key challenges in clinical trial operations. You can find Part 1 of the interview here, or read on to gain his insights on the fundamental problem at the heart of clinical trial operations challenges, and his views on the initiatives and programs that he believes show the most promise for the future. 

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Topics: forecasting, patient enrollment, enforesys, clinical trials


Interview with Ken Getz: Exploring Challenges of Clinical Trial Operations Part 1

Posted by Cytel

Apr 5, 2018 8:30:00 AM

Photo by J. Kelly Brito on Unsplash

Research on clinical trial enrollment makes for sobering reading, characterized by the oft-cited statistic that 11% of active sites fail to enroll a single patient. In this first part of a two part interview, we sit down for a discussion with Ken Getz of the Tufts CSDD. Here, Mr. Getz expands on some of the Center’s more recent research on challenges in clinical trial operations. In the second part, to be published  next week, Mr. Getz will reveal his insights on the key opportunities for the future. 

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Topics: forecasting, patient enrollment, enforesys, clinical trials


Maximizing Preclinical Knowledge for Optimal R&D

Posted by Cytel

Apr 3, 2018 2:00:00 PM

 

By Esha Senchaudhuri

In response to its R&D productivity from 2005 – 2010, AstraZeneca took the initiative in 2011 to implement what it has called the 5R Framework to strengthen its capabilities. In a Perspectives article from Nature Reviews Drug Discovery [1], Paul Morgan and his team provided complex details about the success of this framework from the perspective of every stage of drug development. Between 2005 and 2010, AstraZeneca was behind industry averages in every phase of clinical development except Phase 1.  After the implementation of 5R, AstraZeneca success rates improved substantially. Indeed, it was announced by IDEA Pharma in March 2018 that AstraZeneca had topped its 2018 innovation index.  Here we examine to what Morgan et al, attribute AstraZeneca’s  success.  

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Topics: Program and Portfolio Optimization, clinical development, quantitative decision-making


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