Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects

DM Kent, E Steyerberg, D Van Klaveren - Bmj, 2018 - bmj.com
The use of evidence from clinical trials to support decisions for individual patients is a form of
“reference class forecasting”: implicit predictions for an individual are made on the basis of …

Reducing bias, increasing transparency and calibrating confidence with preregistration

TE Hardwicke, EJ Wagenmakers - Nature Human Behaviour, 2023 - nature.com
Flexibility in the design, analysis and interpretation of scientific studies creates a multiplicity
of possible research outcomes. Scientists are granted considerable latitude to selectively …

Preventive psychiatry: a blueprint for improving the mental health of young people

P Fusar‐Poli, CU Correll, C Arango, M Berk… - World …, 2021 - Wiley Online Library
Preventive approaches have latterly gained traction for improving mental health in young
people. In this paper, we first appraise the conceptual foundations of preventive psychiatry …

[HTML][HTML] Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses

S Schandelmaier, M Briel, R Varadhan, CH Schmid… - Cmaj, 2020 - Can Med Assoc
BACKGROUND: Most randomized controlled trials (RCTs) and meta-analyses of RCTs
examine effect modification (also called a subgroup effect or interaction), in which the effect …

Endovascular thrombus removal for acute iliofemoral deep vein thrombosis: analysis from a stratified multicenter randomized trial

AJ Comerota, C Kearon, CS Gu, JA Julian… - Circulation, 2019 - Am Heart Assoc
Background: The ATTRACT trial (Acute Venous Thrombosis: Thrombus Removal with
Adjunctive Catheter-Directed Thrombolysis) previously reported that pharmacomechanical …

The predictive approaches to treatment effect heterogeneity (PATH) statement: explanation and elaboration

DM Kent, D Van Klaveren, JK Paulus… - Annals of internal …, 2020 - acpjournals.org
The PATH (Predictive Approaches to Treatment effect Heterogeneity) Statement was
developed to promote the conduct of, and provide guidance for, predictive analyses of …

Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: statistical recommendations for conduct …

RD Riley, TPA Debray, D Fisher, M Hattle… - Statistics in …, 2020 - Wiley Online Library
Precision medicine research often searches for treatment‐covariate interactions, which
refers to when a treatment effect (eg, measured as a mean difference, odds ratio, hazard …

Diabetes precision medicine: plenty of potential, pitfalls and perils but not yet ready for prime time

S Griffin - Diabetologia, 2022 - Springer
Rapid advances in technology and data science have the potential to improve the precision
of preventive and therapeutic interventions, and enable the right treatment to be …

An urgent call to raise the bar in oncology

JJB Schnog, MJ Samson, ROB Gans… - British journal of cancer, 2021 - nature.com
Important breakthroughs in medical treatments have improved outcomes for patients
suffering from several types of cancer. However, many oncological treatments approved by …

Precision medicine in type 2 diabetes: using individualized prediction models to optimize selection of treatment

JM Dennis - Diabetes, 2020 - Am Diabetes Assoc
Despite the known heterogeneity of type 2 diabetes and variable response to glucose
lowering medications, current evidence on optimal treatment is predominantly based on …