Recent decades have seen dramatic progress in brain research. These advances were
often buttressed by probing single variables to make circumscribed discoveries, typically …

It has long been an axiom in clinical pediatrics that “children are not just little adults.” It has
also been recognized that there are many changes from birth through childhood and the …

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 …

Published evidence suggests that aspects of trial design lead to biased intervention effect
estimates, but findings from different studies are inconsistent. This study combined data from …

Objectives To evaluate how often newly developed risk prediction models undergo external
validation and how well they perform in such validations. Study Design and Setting We …

Shared decision making for advanced heart failure has become both more challenging and
more crucial as duration of disease and treatment options have increased. High-quality …

Accurate knowledge of a patient's disease state and trajectory is critical in a clinical setting.
Modern electronic healthcare records contain an increasingly large amount of data, and the …

Objectives To ascertain the effect on survival of eight common geriatric syndromes (multiple
comorbidities, cognitive impairment, frailty, disability, sarcopenia, malnutrition …

Rationale Prediction of patients at risk for mortality can help triage patients and assist in
resource allocation. Objectives Develop and evaluate a machine learning-based algorithm …

Objectives To determine a pooled, quantitative estimate of the length of time needed after
breast or colorectal cancer screening before a survival benefit is observed. Design Meta …