CanCOLD celebrates a new milestone:
100th approved substudy!
100th approved substudy
>70 peer-reviewed publications
The CanCOLD study has made its data available to Canadian and international investigators and trainees for 15 years. Through researcher-led projects, investigators have the opportunity to evaluate countless scientific hypotheses and translate bench research to the prevention and treatment of COPD. CanCOLD proudly highlights having reached its 100th researcher and trainee-led project using CanCOLD data, with many projects leading to important findings. Research using the study’s data advances clinical practice guidelines and health policies for the benefit of COPD patients. Researcher-led projects have led to peer-reviewed publications and graduate student theses that deepen our understanding of mild-to-moderate COPD.
On a yearly basis since 2011, CanCOLD generates a continuous stream of scientific discoveries that garner media attention and have lasting impacts. As of 2023, CanCOLD has produced a total of over 70 publications which include 60 peer-reviewed papers and 10 graduate student theses, all stemming from investigator and trainee-led projects. This remarkable progress reinforces the study’s commitment to disseminate CanCOLD data among researchers and trainees, thus furthering the advancement of COPD knowledge.
“The data that is collected during the study is the most comprehensive in the world to answer questions related to COPD”, says Dr Jean Bourbeau, CanCOLD principal investigator at the Research Institute of the McGill University Health Centre in Montreal.
Indeed the data collected by CanCOLD is assembled in a research platform that offers a rich resource for interdisciplinary collaborations and propels Canadian and international research on COPD to new heights. This incredible milestone was accelerated by the creation of the CanCOLD Data Portal. Via an online metadata catalogue, the platform allows researchers to identify variables of interest for their research projects and seamlessly submit data access requests using a web form.