Quantifying absolute treatment effect heterogeneity for time-to-event outcomes across different risk strata: divergence of conclusions with risk difference and restricted mean survival difference.

Background: Risk-based analyses are increasingly popular for understanding heterogeneous treatment effects (HTE) in clinical trials. For time-to-event analyses, the assumption that high-risk patients benefit most on the clinically important absolute scale when hazard ratios (HRs) are constant across risk strata might not hold. Absolute treatment effects can be measured as either the risk difference (RD) at a given time point or the difference in restricted mean survival time (ΔRMST) which aligns more closely with utilitarian medical decision-making frameworks.

Use of Intraoperative Hemostatic Checklists for Blood Management in Patients Undergoing Cardiac Surgery: A Scoping Review.

Background: Using intraoperative hemostatic checklists may improve rates of surgical re-exploration and utilization of allogenic blood products in patients undergoing cardiac surgery. In this review, the authors explore the current evidence describing the impact of using intraoperative hemostatic checklists on reducing rates of surgical bleeding and perioperative blood product transfusion in this group of patients.

Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, electronic information was obtained via sources that included Scopus, MEDLINE, EMBASE, and the Cochrane Library.

Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins.

The US Geological Survey (USGS) is selecting and prioritizing basins, known as Integrated Water Science basins, for monitoring and intensive study. Previous efforts to aid in this selection process include a scientifically defensible and quantitative assessment of basins facing human-caused water resource challenges (Van Metre et al. in Environmental Monitoring and Assessment, 192(7), 458 2020).

A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk.

Background: Accounting for race and ethnicity in estimating disease risk may improve the accuracy of predictions but may also encourage a racialized view of medicine.

Objective: To present a decision analytic framework for considering the potential benefits of race-aware over race-unaware risk predictions, using cardiovascular disease, breast cancer, and lung cancer as case studies.

Design: Cross-sectional study.