Robert Wolff

TL;DR: Proposed models for covid-19 are poorly reported, at high risk of bias, and their reported performance is probably optimistic, according to a review of published and preprint reports.

TL;DR: There was moderate- quality evidence to support the use of cannabinoids for the treatment of chronic pain and spasticity and low-quality evidence suggesting that cannabinoids were associated with improvements in nausea and vomiting due to chemotherapy, weight gain in HIV infection, sleep disorders, and Tourette syndrome.

TL;DR: This work presents PROBAST (Prediction model Risk Of Bias ASsessment Tool), a tool to assess the ROB and concerns regarding the applicability of diagnostic and prognostic prediction model studies, and develops the accompanying explanation and elaboration document.

TL;DR: The rationale behind the domains and signaling questions, how to use them, and how to reach domain-level and overall judgments about ROB and applicability of primary studies to a review question are described.

TL;DR: This article covers studies answering questions about the prognosis of a typical patient from a broadly defined population and considers how to establish degree of confidence in estimates from such bodies of evidence.