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A Bayesian conditional probability simulation framework for pre-hospital stroke transport decisions in the tenecteplase era: decision boundaries, global sensitivity, and stochastic dominance

Source: Frontiers - Health • Published: 21 Aug 2026, 00:00

A Bayesian conditional probability simulation framework for pre-hospital stroke transport decisions in the tenecteplase era: decision boundaries, global sensitivity, and stochastic dominance

An updated Bayesian simulation framework models prehospital triage tradeoffs between transfer, direct CSC transport, and mobile stroke units in the tenecteplase era.

Key Takeaways
  • Prehospital large-vessel-occlusion probability is updated from validated screening scales
  • Sobol first-order and total-effect indices decompose outcome variance over the sampled input space
  • Under the production calibration the tenecteplase paradigm reallocated 14.1% of the decision plane relative to alteplase
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