Aims This report from the European Society of Cardiology (ESC) Atlas Project updates and
expands upon the widely cited 2019 report in presenting cardiovascular disease (CVD) …

Background: Effective targeting of services requires that we establish which undergraduates
are at increased risk of mental health problems at university. We aimed to conduct a …

Background and purpose The objective of our systematic review is to identify prognostic
factors that may be used in decision-making related to the care of patients infected with …

Background The medical, societal, and economic impact of the coronavirus disease 2019
(COVID-19) pandemic has unknown effects on overall population mortality. Previous models …

Clinical prediction models combine multiple predictors to estimate risk for the presence of a
particular condition (diagnostic models) or the occurrence of a certain event in the future …

Prediction models in health care use predictors to estimate for an individual the probability
that a condition or disease is already present (diagnostic model) or will occur in the future …

Prognostic factors are associated with the risk of future health outcomes in individuals with a
particular health condition or some clinical start point (eg, a particular diagnosis). Research …

Primary liver cancer is the second leading cause of cancer-related death worldwide and
therefore a major public health challenge. We review hypotheses of the cell of origin of liver …

Machine learning, artificial intelligence, and other modern statistical methods are providing
new opportunities to operationalise previously untapped and rapidly growing sources of …

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …