Barriers to access to clinical trial data: Obstruction of a RIAT reanalysis of the treatment for adolescents with depression study

Author(s):  
Natalie Aboustate ◽  
Jon Jureidini

BACKGROUND: Public access to data has been a major step in attempting to reduce bias in scientific literature. OBJECTIVE: Data to verify efficacy outcomes are now more accessible; however, little has been done to ensure public access to harms data from RCTs, which are equally important in ascertaining possible misreporting and protecting safety. METHODS: The treatment for adolescents with depression study (TADS) has influenced most international practice guidelines for treating children and adolescents with depression, supporting first-line prescription of fluoxetine in combination with cognitive behavioural therapy (CBT). However, after over 30 publications by the TADS team, reporting on harms remains highly deficient. RESULTS: In undertaking a restoring invisible and abandoned trials (RIAT) reanalysis of TADS’ effectiveness and safety outcomes, we sought access to de-identified serious adverse events (SAE) data. This paper describes our unsuccessful efforts to obtain more detailed SAE data from TADS’ data custodians, highlighting several problematic blocks to comprehensive safety reporting. CONCLUSION: Comprehensive access to clinical trial data is necessary to ensure safe and fully informed guidelines for treating children and adolescents with depression.

BMJ ◽  
2014 ◽  
Vol 348 (jun06 1) ◽  
pp. g3768-g3768 ◽  
Author(s):  
B. Goldacre ◽  
F. Godlee ◽  
C. Heneghan ◽  
D. Tovey ◽  
R. Lehman ◽  
...  

2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.


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