Estimating Additive Interaction in Two-Stage Individual Participant Data Meta-Analysis.
The researchers aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within two-stage individual participant data (IPD) meta-analysis. They proposed a three-step procedure to estimate additive interaction, and illustrate this procedure by investigating interaction between depression and smoking and risk of smoking-related cancers incidence during follow-up, and used IPD of six cohorts, including CARTaGENE.
The mediating role of health behaviors in the association between depression, anxiety and cancer incidence: An individual participant data meta-analysis
Researchers investigated how various health behaviors might mediate the relationships between depression, anxiety, and the onset of different types of cancer. They conducted individual participant data meta-analyses using participants from 18 cohorts from the Psychosocial Factors and Cancer Incidence consortium.The cohorts analyzed included the Atlantic Partnership for Tomorrow’s Health, Ontario Health Study, and CARTaGENE. The findings suggested that smoking serves as a mediating factor that connects depression and anxiety with lung cancer and other cancers related to smoking.
Psychosocial factors, health behaviors and risk of cancer incidence: Testing interaction and effect modification in an individual participant data meta-analysis
Researchers determined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Data were used from 22 cohorts, including the Ontario Health Study, Atlantic Partnership for Tomorrow’s Health, and CARTaGENE. After exploring 744 combinations of psychosocial factors, the researchers found no evidence that psychosocial factors interacted with or modified health behaviors related to cancer incidence.
Depression, anxiety, and the risk of cancer: An individual participant data meta-analysis
Researchers performed meta-analyses within the Psychosocial Factors and Cancer Incidence (PSY-CA) consortium to develop a stronger foundation for addressing associations between depression, anxiety, and the incidence of various cancer types. They found that depression and anxiety are not related to increased risk for most cancer outcomes, except for lung and smoking-related cancers.
Provincial variation in colorectal cancer screening adherence in Canada; evidence from the Canadian Partnership for Tomorrow’s Health
The researchers sought to assess regional variation in screening uptake, identify factors to non-adherence to screening, and estimate adherence to screening in those with differing risk profiles. Using national CanPath data, they found adherence suboptimal amongst Canadians and noticed variation by region.
Evaluation of the accuracy of the PLCOm2012 6-year lung cancer risk prediction model among smokers in the CARTaGENE population-based cohort
This study aimed to validate a tool to predict lung cancer risk using data from CARTaGENE participants. It showed good accuracy in identifying lung cancer risk but underestimated the number of cases. This tool may require calibration adjustments for the Quebec population.
Socio-Demographic Factors Associated With COVID-19 Vaccine Hesitancy Among Middle-Aged Adults During the Quebec’s Vaccination Campaign
This study aimed to describe how socioeconomic and demographic characteristics affect vaccine hesitancy. Using data from 6,105 CARTaGENE participants, researchers found that those born outside of Canada and those with a household income under $100,000 had the greatest hesitancy.
Five-year absolute risk estimates of colorectal cancer based on CCRAT model and polygenic risk scores: A validation study using the Quebec population-based cohort CARTaGENE
This study aimed to assess the Colorectal Cancer Risk Assessment tool’s predictive performance alongside three polygenic risk scores to predict the occurrence of colorectal cancer within five years. Using data from 6,747 CARTaGENE participants, the researchers found that this tool requires better calibrations before practical use in Québec.
Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
This study examined the epidemiological and socio-economic impact of the spring 2020 outbreak of COVID-19 on the Quebec population. An online survey of the participants of CARTaGENE was conducted, with 8,129 respondents. The study found some discrepancies between the symptoms associated with being tested and being positive. The results also emphasize the need for increasing the accessibility of testing for the general population.
Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
This study evaluated the use of the Breast Cancer Risk Assessment Tool (BCRAT), International Breast Cancer Intervention Study risk evaluation tool (IBIS), Polygenic Risk Scores (PRS) and combined scores to predict the occurrence of invasive breast cancers at 5 years in a French-Canadian population.