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A Systematic Review of Methods to Incorporate External Evidence into Trial-Based Survival Extrapolations for Health Technology Assessment.

Ash BullementMatthew D StevensonGianluca BaioGemma Elizabeth ShieldsNicholas R Latimer
Published in: Medical decision making : an international journal of the Society for Medical Decision Making (2023)
Several methods were identified in this review, with common themes based on typical data sources and analytical approaches. Of note, no evidence was found comparing the identified methods to one another, and so an assessment of different methods would be a useful area for further research.HighlightsThis review aims to identify methods that have been used to incorporate external evidence into survival extrapolations, focusing on those that may be used to inform health technology assessment.We found a range of different approaches, including piecewise methods, Bayesian methods using informative priors, and general population adjustment methods, as well as a variety of "other" approaches.No studies attempted to compare the performance of alternative methods for incorporating external evidence with respect to the accuracy of survival predictions. Further research investigating this would be valuable.
Keyphrases
  • public health
  • healthcare
  • clinical trial
  • machine learning
  • mental health
  • risk assessment
  • climate change
  • artificial intelligence
  • mass spectrometry
  • open label
  • health information
  • clinical evaluation