Clinical Research
Off-shoring: A Country Attractiveness Index for Clinical Trials
By Mark P. Mathieu For many years, pharmaceutical companies have been off-shoring manufacturing operations to lower-cost countries. Healthy margins and strong risk aversion have afforded pharmaceutical companies the luxury of staying close to home, for all but manufacturing activities. As financial pressures increase, pharmaceutical executives are finding that going offshore is not only less risky than it once was, but also too attractive to ignore. Read More
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By Kevin Davies
Quanticate has selected Oracle Argus Safety as its safety database to offer comprehensive global adverse event management and reporting for its customers.
May 17, 2010 | “The key to pharmacovigilance is the collection of high-quality, accurate data,” says Alison Bond, Quanticate’s new head of pharmacovigilance. It’s about collating reports of adverse events during clinical trials and post-marketing, she says, as well as looking at the way that data are managed, analyzed and evaluated.
While a third-party pharmacovigilance database might not be essential for some clients, it is almost always required when dealing with large volumes of data. Quanticate’s selection came down to three of the leading validated databases, but in the end, Oracle edged the other two providers.
“The web-based user interface will allow instant and continuous access by any Quanticate team member, whatever their location, in addition to being able to offer customers immediate access to their safety data,” says Bond. “There is also the potential for future growth with the use of other applications in the Oracle Argus Safety suite of drug safety and risk management solutions.” Bond also sees synergies between Oracle Argus Safety and Oracle Clinical, the clinical data management system.
Bond started working on pharmacovigilance ten years ago while working at Parexel, managing the set up of pharmacovigilance systems for various pharma and biotech clients. She then worked as an independent consultant before joining Quanticate in January 2010.
The international systems that are currently in place for the detection, evaluation, understanding and prevention of adverse effects of drugs can be traced back to the 1960s and the thalidomide tragedy, says Bond. “It became apparent that more stringent measures were required, more structured processes for the collection of safety data to pick up as soon as possible any potential risks of drugs,” she says. “The whole idea is to put in place systems to collect and evaluate the risks of drugs and also to get the benefits. Any drug has to have positive benefit risk profile in order to be on the market and ethical to treat a patient. It’s about balancing whether the benefit of the drug outweighs those risks.”
Life Cycle
Pharmacovigilance covers the whole product life cycle. “There is much more recognition that there needs to be proactive safety surveillance right through the product life cycle,” says Bond.
Data on a patient’s side effects is sent to the company running the trial and entered first into the clinical trial database (a separate entity from the safety database). “Those have come a long way in recent years to meet the regulatory requirements,” she says. Although generally separate from EDC, they are now starting to tie in, she says.
All adverse events feed into the clinical trial database, and those that are serious go to the safety department and database. Most every drug in the clinic will have an associated safety database of some sort. The sponsor transfers the data to the regulatory authorities, the FDA or EMEA databases. That can be done directly from the sponsor’s own safety database to a gateway system or via the web. All cases of serious and unexpected adverse events suspected to be related to the study medication would be reported, as companies are keen to maintain compliance.
Bond says the technology behind safety data collection hasn’t changed much in recent years, but where she does see changes is in how the data are analyzed and interpreted, looking for safety signals and events early on. “When you do a marketing authorization application now, there’s a requirement in most cases to do a detailed risk management plan, which highlights if there are identified or potential risks. So there could be risk with potential based on pharmacological property of the drug or preclinical work, and then you put in place systems to monitor that or mitigate any risks.”
Bond says there are potential advantages “in harmonizing where the data are kept” and searching for ways to improve signal detection and data analysis. “If you’ve got clinical, adverse events, and safety databases, you can have consistency in the way events are coded and make sure it’s reconciled. It can be a relatively small thing to find out a small signal in a huge database.”
The benefits of collecting pharmacovigilance data are much more subtle than merely making a go/no-go decision on a drug. “The idea would be you wouldn’t get a no-go decision,” says Bond. “The idea is to identify the risks and then manage that.” For example, if a trial revealed serious events in certain patients taking a drug, then it could lead to adapting the drug label “to make sure it’s given to the most patients that will benefit and reduce risks by not giving to patients that are not suitable.”
Ongoing cases are reported to the regulatory authorities and (in blinded fashion) to investigators running the trial. Early detection goes on through the trial, and could result in a protocol amendment to restrict patients or introduce other changes in the trial (even the trial being stopped).
Bond says she will be consulting with clients to see that they set up pharmacovigilance systems that are appropriate to their requirements and product. Quanticate also offers in-house medical writing expertise as part of the pharmacovigilance service offering, helping to produce periodic safety reports during clinical trials and once the drug is marketed.
Remote Data Capture:Acquisition and Analysis See why Electronic Data Capture (EDC) is gaining traction in the pharmaceutical
clinical trials arena. Today approximately half of all clinical trials are conducted
electronically, and the figure is rapidly rising. Report includes contributions from
Oracle Health Sciences, Pfizer, PPD, and C3i.
The Role of Analytics in Transforming Healthcare Sharing many of the data challenges and opportunities faced by Healthcare, the Life Sciences industry remains focused on delivering new, innovative therapies and solutions to patients in a cost effective, timely and safe way. With spiraling R&D costs, new methods such as adaptive trials, and never ending need for deep pharmacovigilance, the Life Sciences companies that effectively use analytics to explore, monitor and optimize their business will rapidly become the new leaders. Oracle’s strategy—built upon Enterprise Health Analytics and Health Data Warehouse Foundation—provides a powerful, practical, and extensible approach to delivering the IT analytics infrastructure required to confront the worldwide healthcare challenge.
BPM-Based Case Management Approach to Optimizing Clinical Trial Efficiency Business Process Management (BPM) software offers liberation in the planning and management of clinical trials today. SmartBPM provides the components for automating critical clinical trial processes ranging from protocol development and patient enrollment to site management and investigator payments. Advantages are: - Potentially stunning return on investment at multiple levels.
- A 500%, or better, increase in application development time by directly executing business requirements
- Improved customer retention
- A 50% possible reduction in training time
Discovered is opportunity to enhance relationships with investigators, subjects, and regulators while bringing momentum to a technology-impaired study startup phase. Learn more about SmartBPM in this complimentary white paper.
Bio-IT World & CHI
Impact of the 1000 Genomes Project on the Next Wave of Pharmacogenomic Discovery
Interview with M. Eileen Dolan, Ph.D., Professor, Medicine, University of Chicago and Speaker at Next-Generation Sequencing Data Management, September 27-29, 2010, Providence, RI
The 1000 Genomes Project aims to provide detailed genetic variation data on >1000 genomes from worldwide populations using the next-generation sequencing technologies. Some of the samples utilized for the 1000 Genomes Project are the International Hap-Map samples that are composed of lymphoblastoid cell lines (LCLs) derived from individuals of different world populations. The detailed map of human genetic variation promised by the 1000 Genomes project will allow a more in-depth analysis of the contribution of genetic variation to drug response. Future studies utilizing this new resource can greatly enhance our understanding of the genetic basis of drug response and other complex traits.
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Software Engineer – Computational Biology Center
Memorial Sloan-Kettering Cancer Center seeks an Engineer to design and develop complex data analysis systems in support of cancer genomics research projects at the Computational Biology Center. Qualified candidate will have a BA, 5+ years of software development experience and expert knowledge of Java, SQL, and HTML.
Apply: www.mskcciscareers.org. Equal opportunity and affirmative action employer.
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