The evaluation of health benefits and harms of an intervention with GRADE Evidence to Decision (EtD) frameworks includes judgments if the effects are “trivial”, “small”, “moderate” or “large”. Such judgments ideally require the a priori establishment of decision thresholds (DTs), whose empirical derivation for single outcomes has been previously described. In this article, we provide a methodological approach to estimate DTs for composite endpoints based on disutilities ..read more

GRADE and other Evidence to Decision (EtD) frameworks are widely used by guideline development groups (GDG) and other decision-makers. When GDGs judge the magnitude of desirable and undesirable health outcomes on EtDs, they typically categorize them as trivial, small, moderate or large. However, generic judgment or decision thresholds (DTs) that could guide the user about such estimates of effect size or serve as references for interpretation of findings are not yet available. The objective of this study was to empirically derive DTs for EtD judgments about the magnitude of dichotomously asses ..read more

To give an overview of methods for updating AI-based clinical prediction models based on new data ..read more

To explore how process evaluation of complex interventions alongside randomised clinical trials (RCTs) in musculoskeletal conditions are conducted ..read more

To describe the SPOR Evidence Alliance’s co-creation and evaluation of two capacity building courses on knowledge synthesis for patient and public partners ..read more

The performance of injury severity scores, used widely to quantify injury severity and predict outcomes, has not been investigated in German pediatric cases. This study aims to identify the most feasible and accurate injury score predictor of mortality in German children with trauma using International Classification of Diseases 10 (ICD-10 ..read more

We examined differential item functioning (DIF) of the Center for Epidemiologic Studies-Depression Scale (CES-D) items by country and statistically harmonized common cross-national factor scores for the CES-D to aid further cross-national research ..read more

Objective: to assess the associations between cost-effectiveness analysis’ (CEA) methodological characteristics and Incremental Cost-Effectiveness Ratio (ICER) outcomes and conclusions, in biological treatments for asthma ..read more

Stepped wedge cluster randomized trials (SW-CRTs) are an appealing study design because they enable sequential roll out of an intervention across clusters, bringing logistical advantages. This review aimed to evaluate the design rationale, design features, stepped wedge diagram, and analytical approaches of SW-CRTs published in high-impact medical journals from 2020 to 2023, focusing particularly on adherence to key guidelines from the CONSORT extension to SW-CRTs ..read more

Tenenbaum et al. introduced a machine learning model for the early diagnosis of type 1 Gaucher disease utilizing algorithms such as Random Forest, Light Gradient Boosting Machine (LightGBM), and logistic regression. While these models enhance diagnostic accuracy, they also generate biased feature importance measures due to their underlying methodologies, including model-specific behaviors and correlated features. Furthermore, the use of SHAP (SHapley Additive exPlanations) inherits these biases, complicating the interpretation of results ..read more