|Articles|December 1, 2013

Applied Clinical Trials

  • Applied Clinical Trials-12-01-2013
  • Volume 22
  • Issue 12

Jury's Still Out on How Best to Handle Trial Data

Author(s)Philip Ward

The EMA announced the possibility of a delay of their much-awaited guidance on trial data due to the unprecedented response received during public consultation.

The EMA is currently reviewing and analyzing more than 1,000 comments received during the public consultation on its draft policy on trial data, which ran from June to end of September 2013. The Agency has warned that the need to study so many submissions may delay the issuing of a final policy, which was initially planned for the end of 2013.

"The public consultation on the policy has generated input from an unprecedented range of stakeholders. Patients, healthcare professionals, pharmaceutical industry representatives, researchers, transparency campaigners, academic and public institutions, health technology assessment bodies, and a range of others sent their comments to the Agency," noted a statement released on November 13. "Many of the contributors provided detailed in-depth comments, some of them substantial, some of them technical, including suggestions relating to methodological and technical aspects of the implementation of the policy."

As part of its collaborative approach to developing a methodology for the release of clinical trial data with its stakeholders, the Agency is currently devoting attention to all comments received and reaffirms its commitment to transparency and the principles of publication and access to clinical trial data, EMA added. To conduct the appropriate in-depth analysis required, the Agency will spend additional time in this reviewing phase.

"The Agency has embarked on the development of a policy on publication and access to clinical trial data because it believes that the release of data is about establishing trust and confidence in the system," continued the statement. "The Agency is also firmly of the opinion that availability of data broadens the scientific knowledge base, fosters innovation, and encourages investment in the development of medicines, and ultimately benefits public health."

Articles in this issue

almost 13 years ago

Clinical Trial Design Automation

almost 13 years ago

Reasons for Clinical Failures by Phase

almost 13 years ago

Act Cover

almost 13 years ago

Clinical Technologies

almost 13 years ago

Training and Education

Related to this article

© photon_photo - © photon_photo - stock.adobe.com
Standardized measurement across five oncology centers found that clinical research coordinators rated eSource-enabled workflows positively (Overall Mean Satisfaction 5.79 of 7), with reduced manual entry and electronic data transfer earning strong marks, while perceived reduction in sponsor and monitor queries lagged as the one domain below threshold.
Where the Industry Is Headed as Clinical, Operational, and Real-World Data Connect
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, describes the industry’s trajectory toward a unified intelligence orchestration environment—and explains why the future isn’t one model that knows everything, but a trusted system that brings the right evidence to the right human decision.
What Expanding AI Ecosystems Mean for Sponsor Complexity and Oversight
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, argues that CROs must act as orchestrators rather than aggregators—and that the real test of any AI ecosystem is whether it reduces sponsor coordination burden or just hands it back to them.