The Making of a CDISC Trainer

Posted by Cytel

Feb 6, 2017 9:10:00 AM

 

CDISC is a global, nonprofit charitable organization whose mission is ‘to inform patient care and safety through higher quality medical research’.  The organization delivers this mission through the development of data standards designed to streamline clinical research- these standard formats are increasingly expected for use in data submissions by regulatory authorities. Importantly, data standardization also brings significant benefits to the industry- in the CDISC 2014 Business Case (1),  it is noted that:

 “For those developing regulatory eSubmissions, using updated baseline numbers for the time and cost of getting a drug to market, it can be found that ~ $180M can be saved per submission (18% of the total cost). An average of two years can be saved off of an average 12-year clinical development program lifecycle – just by standardizing data”.

It’s therefore critical that the biopharma and CRO industries develop the next generation of data managers, statisticians and programmers with strong knowledge of the CDISC standards.


Angelo Tinazzi has more than 20 years’ experience in data-management and statistical programming and is Director of Clinical Data Standards and Data Submission at Cytel.  He has been a member of the European CDISC Committee since 2015 and is a member of the CDISC ADaM team. Taking the next step in his journey as a data standards expert, Angelo is now a "candidate trainer" with CDISC –working towards becoming an “Authorized CDISC Instructor”.  In this blog we find out more from Angelo about his experiences and the role of the CDISC trainer.

 

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Topics: Statistical Programming, Training and Education, Clinical Data, CDISC, SDTM, ADaM, Biometrics, CDASH


Our readers' choice : Top Blog posts from 2016

Posted by Cytel

Dec 23, 2016 8:21:00 AM

 

As we prepare to say 'so long, farewell'  to 2016, we'd like to take the opportunity to thank all our blog readers and subscribers.  Read on for a  round up of our most read topics from the year.... 

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Topics: Clinical Data, EDC, database build, data manager, CDISC, SDTM, adaptive designs, adaptive trials


CDISC submissions- are you up to speed?

Posted by Cytel

Dec 21, 2016 9:45:00 AM

 

December 18th 2016 was a significant date for the pharmaceutical industry and regulatory submissions. For trials which commence after this date, the FDA will no longer accept non-CDISC data submissions for new drug applications ( NDAs) , certain investigational new drug applications, abbreviated new drug applications (ANDAs)  and certain biologics license applications (BLAs).

 The FDA guidance Providing Regulatory Submissions  In Electronic Format —  Standardized Study Data (1)  also notes that the requirement will include ‘all subsequent submissions, including amendments, supplements, and reports’  to the submission types.

With regard to other regulatory agencies position on CDISC, the Japanese Pharmaceuticals and Medical Devices agency ( PMDA) will now request CDISC compliant submissions after October 2016 with a certain transitional period. This will be fully mandatory by 2018. While the European Medicines Agency (EMA)  is adopting a top-down approach and therefore more focused on topics such as data transparency, issues of data integration and interoperability will also form part of the EMA’s future plans.  

With this in mind, any sponsor planning an NDA, BLA or other regulatory submission needs to make sure they are observing best practice with regards to CDISC.  In this blog, we outline some of the key issues to bear in mind as you prepare for your data submission.

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Topics: Regulation, Clinical Data, data manager, CDISC, SDTM, CDASH


How do CDASH standards build data quality?

Posted by Cytel

Dec 20, 2016 9:21:00 AM

 

Data Standards play a crucial role in structuring and promoting long term value of clinical data.

Clinical Data Acquisitions Standards Harmonization or CDASH was developed with participation from all three ICH regions (US, Europe and Japan) with recommended data collection fields for 16 domains-> DEMOG, AE etc. It also includes  implementation guidelines, best practice recommendations, and regulatory references.  There is sometimes a misconception that CDASH defines the layout of the CRF and eCRF.  This is not the case.  The function of CDASH is to define the naming conventions for the clinical database, and outline how variables are mapped to SDTM. It defines how questions should be formulated for data collection within the CRF and eCRF making use of standard CDISC controlled terminology. In this blog, we will provide an example of CDASH implementation. 

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Topics: Clinical Data, data manager, CDISC, SDTM, CDASH


Infographic: 9 Do's and Don'ts to Ensure Independence of QC in Statistical Programming

Posted by Cytel

Nov 14, 2016 8:13:29 AM

In our last blog, we shared some of Angelo Tinazzi and Cedric Marchand's recommendations on how to ensure independence of QC in statistical programming.  Now, we've put together an infographic highlighting some key do's and don'ts in a handy checklist.  

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Topics: Statistical Programming, biostatistics, SDTM, ADaM


The CRO role in Data Standards Governance

Posted by Cytel

Aug 2, 2016 10:30:00 AM

As CDISC compliant submissions become increasingly expected, biopharmaceutical companies are considering how to approach the issue of data standards governance.  Standards governance is a lynchpin in the management of CDISC compliance and is important for promoting standards awareness within organizations. It’s also an acknowledged hot topic in the industry and formed a substantial track at 2016’s CDISC EU Interchange back in April.

It has traditionally been common practice for biopharma companies to outsource their CDISC conversion of legacy data for the purpose of publications and submissions to expert CROs.  While large biopharma organizations may have dedicated in-house teams deployed to the management of standards governance, the dynamic nature of CDISC requirements means companies can struggle to find the resources to keep up to date and provide the best interpretation of the documentation. Outsourcing can be an option to ensure dedicated staff are available to manage and monitor these aspects and ensure companies remain submission ready.

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Topics: Data Management, Clinical Research Services, Statistical Programming, Clinical Data, EDC, database build, data manager, CDM, CDISC, SDTM, ADaM, CDASH


Lost in Traceability- From SDTM to ADaM

Posted by Cytel

May 12, 2016 10:18:00 AM

 

Once upon a time Hansel and Gretel laid a trail of breadcrumbs which they followed to find their way back home.  Their story can be an allegory for the concept of traceability in clinical data where we need to  lay a clear path to ensure that the results we have created can be reproduced. This blog looks at some aspects of a presentation Lost in Traceability  by Angelo Tinazzi at the CDISC EU Interchange. 

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Topics: Clinical Research Services, Statistical Programming, FDA, Clinical Data, CDISC, SDTM, ADaM, EMA, PMDA, Biometrics


5 Hot Topics from the CDISC EU Interchange

Posted by Angelo Tinazzi

May 4, 2016 7:00:00 AM

Last week was the CDISC EU Interchange conference in Vienna, a key event on the calendar for Cytel’s statistical programming subject matter experts . Angelo Tinazzi, Director, Statistical Programming, Clinical Data Standards and Clinical Data Submission at Cytel co-chaired the sessions on Foundational Standards and Standards Governance alongside Astrazeneca’s Daniel Graham, and delivered a presentation on Traceability within the Foundational standards track.

In this blog, Angelo highlights some of the hot topics which emerged from the presentations he attended during the meeting. 

 

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Topics: Clinical Research Services, Statistical Programming, FDA, Clinical Data, CDISC, SDTM, ADaM, EMA, PMDA, Biometrics


Mind the Gap! How to prepare for SDTM migrations.

Posted by Cytel

Mar 8, 2016 9:30:00 AM

Data standardization is critical to ensure successful regulatory submissions. While many sponsors now choose to create CDISC compliant outputs as part of their in-line study analysis and reporting, inevitably legacy conversion of older studies is required.

A legacy conversion project is one which requires a significant transformation effort, where neither CDASH nor SDTM has been used. Migrating to SDTM is of course a complex activity, requiring a precise and intelligent approach- it’s not just a matter of renaming variables.  A gap analysis which assesses the current state of the data can ensure the project is commenced on the right footing.  In the below example, we conducted a gap analysis as part of a project for a client who engaged Cytel for support with their ISS/ISE.

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Topics: Statistical Programming, ISS, ISE, CDISC, SDTM


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