Publications by authors named "M Geerlings"
Development and external validation of the SMASHERS risk prediction model for aneurysmal subarachnoid haemorrhage in the general population: a population-based prospective cohort study.
BMJ Open
January 2025
Objectives: Aneurysmal subarachnoid haemorrhage (ASAH) is a severe stroke type, preventable by screening for intracranial aneurysms followed by treatment in high-risk individuals. We aimed to develop and validate a risk prediction model for ASAH in the general population to identify high-risk individuals.
Design: We used the population-based prospective cohort studies of the United Kingdom (UK) Biobank for model development and the Trøndelag Health (HUNT) Study for model validation.
Physical exercise is a promising intervention to improve brain white matter integrity. In the PAM study, exercise intervention effects on white matter integrity were investigated in breast cancer patients. Chemotherapy-treated breast cancer patients with cognitive problems were randomized 2-4 years post-diagnosis to an exercise (n = 91) or control group (n = 90).
View Article and Find Full Text PDFBackground: Middle-aged and older adults presenting clinically relevant depressive symptoms are often undiagnosed. Understanding the determinants of late-life depressive symptoms could improve prognosis. Further, individuals with manifest cardiovascular disease (CVD) are at an increased risk of depression.
View Article and Find Full Text PDFArticle Synopsis
- This study examined the link between plasma biomarkers indicating endothelial dysfunction and cognitive performance in a sample of 9,414 older adults from the Netherlands, aged 57 to 93 years.
- Researchers created a composite score from three specific biomarkers and assessed various cognitive functions like executive function and memory.
- Results indicated a small, consistent association between higher endothelial dysfunction scores and poorer cognitive performance, but no evidence suggested that these markers influenced cognitive decline over time.
Article Synopsis
- Individual participant data (IPD) meta-analysis allows for better understanding of interaction and effect modification compared to traditional studies, especially in public health contexts.
- The text emphasizes the importance of focusing on additive interactions rather than just multiplicative ones, particularly using measures like Relative Excess Risk due to Interaction (RERI).
- A three-step method is proposed to correctly estimate additive interaction across studies, ensuring valid results when analyzing factors like the link between depression, smoking, and cancer risk using available data.