scholarly journals Will AstraZeneca be able to provide clinical trial data on its COVID‐19 vaccine efficacy in older adults?

Author(s):  
Rafael Dal‐Ré
2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 70-70 ◽  
Author(s):  
Karlynn BrintzenhofeSzoc ◽  
Armin Shahrokni ◽  
Beverly E. Canin ◽  
Ira Russell Parker ◽  
Jessica L. Krok-Schoen ◽  
...  

70 Background: With demographic shifts leading to an aging cancer population, the American Society of Clinical Oncology (ASCO) has recommended that journal editors improve the reporting of clinical trial data specific to older adults. This study aimed to assess the current reporting status of clinical trial data regarding older adults with cancer. Methods: This was a review of oncologic therapeutic phase-3 clinical trial data published from 07/01/2016-06/30/2017. Based on a keyword search of EMBASE and PubMed, 929 manuscripts were identified. Removing duplicates (n = 116) and articles that did not meet this study’s cancer inclusion criteria (n = 589), a total of 224 were identified. In the pilot phase there was 85% agreement among the reviewers. Results: Thus far, 197 papers (88%), have been independently reviewed with 118 evaluated by more than one reviewer. Reviewed papers were published in 57 journals including Journal of Clinical Oncology (28, 14.2%), Lancet Oncology (25, 12.7%), and NEJM (20, 10.2%). Much of the literature focused upon the following cancer sites: Breast (33, 16.7%), Lung (27, 13.7%), Colorectal (18, 9.1%), and Prostate (12, 6.1%). 175 articles included inclusion/exclusion criteria, 32 (16.2%) had upper age exclusion criteria. Age was presented in 184 articles and data was stratified by age in 84 (42.6%). Age stratification of effectiveness and toxicity were presented in the results section in 65 (38.2%) and 21 (14.4%). Effectiveness by age was in the discussion section in 37 (18.8%) and toxicity by age in 16 (8.1%). Reviewers could not determine the proportion of study participants who were older adults in 111 articles (56.2%). In the remainder of the articles, the proportion ranged from 0% to 81%, except one in which all participants were older adults. Conclusions: A slim minority of phase-3 oncologic clinical trials included and discussed age-referenced results regarding the effectiveness and toxicity of treatments in older adults. Clinical investigators and journal editors should consider the ASCO recommendation and increase the reporting of oncologic clinical trial data specific to older adults.


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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