CureKurven

CureKurven is a conceptual framework used in medical statistics to analyze cure curves in clinical studies. It combines elements of survival analysis with cure-rate modeling to describe both the proportion of patients considered cured by a treatment and the timing of relapse among those not cured. The name blends English and German to reflect its cross-disciplinary origins.

CureKurven is used to compare long-term effectiveness across therapies, particularly in oncology, infectious disease, and chronic conditions where a subset of patients may achieve durable remission or cure. It is designed to provide an intuitive visualization of outcomes beyond simple survival curves.

The framework relies on mixture-model approaches that distinguish a cured fraction from a susceptible fraction. It estimates the cure fraction and models time-to-event for non-cured patients. Curves are plotted to show the cumulative probability of cure over time, optionally stratified by covariates such as age, stage, biomarker status. Confidence bands reflect estimation uncertainty.

Practical considerations include data quality and follow-up duration, which strongly influence cure estimates. Misclassification of cure, competing risks, and delayed treatment effects can complicate interpretation. Software implementations may integrate with standard survival-model toolkits to enable routine application.

CureKurven is discussed in methodological papers and at conferences as a means to communicate long-term treatment impact. It is one of several approaches to cure modeling and is not universally adopted; practitioners compare it with other cure-modeling frameworks.