Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

Executive summary A concerted effort to tackle the global health problem posed by traumatic
brain injury (TBI) is long overdue. TBI is a public health challenge of vast, but insufficiently …

Clinical prediction models provide risk estimates for the presence of disease (diagnosis) or
an event in the future course of disease (prognosis) for individual patients. Although …

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Background In patients with acute ischemic stroke caused by a proximal intracranial arterial
occlusion, intraarterial treatment is highly effective for emergency revascularization …

The performance of prediction models can be assessed using a variety of methods and
metrics. Traditional measures for binary and survival outcomes include the Brier score to …

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 …

The performance of a predictive model is overestimated when simply determined on the
sample of subjects that was used to construct the model. Several internal validation methods …

Appropriate quantification of added usefulness offered by new markers included in risk
prediction algorithms is a problem of active research and debate. Standard methods …

Background Initial results of the ChemoRadiotherapy for Oesophageal cancer followed by
Surgery Study (CROSS) comparing neoadjuvant chemoradiotherapy plus surgery versus …