Evidence map›Paper›PMID 42698453›Full record

ArticleFrontiers in neurology2026

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

Tuǧba Çalışır

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Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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1 author.

Tuǧba ÇalışırDepartment of Neurology, Hatay Mustafa Kemal University, Hatay, Türkiye.

Funding

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6 · The paper itself

Abstract

Acute ischaemic stroke triage between Drip-and-Ship (DS), Mothership (MS) and Mobile Stroke Unit (MSU) strategies has been formalised over the past decade by conditional-probability decision models. Two recent developments motivate an updated treatment: the shift of the intravenous thrombolysis standard from alteplase to tenecteplase, and the maturation of randomised evidence on DS-versus-MS triage and on MSU effectiveness. A Bayesian conditional-probability simulation framework is presented that combines random-effects synthesis of the modern trial corpus for intravenous thrombolysis (alteplase, tenecteplase) and endovascular thrombectomy with a log-normal decomposition of onset-to-reperfusion into strategy- and pharmacology-specific process-time components. The prehospital large-vessel-occlusion probability is updated from validated screening scales, and the optimal strategy together with a 95% posterior credible interval is computed at every coordinate of the decision space spanned by the inter-facility transit-time differential and the LVO posterior probability. Sobol first-order and total-effect indices decompose outcome variance over the sampled input space, and first- and second-order stochastic dominance between strategies is tested under the same posterior. Under the production calibration the tenecteplase paradigm reallocated 14.1% of the decision plane relative to alteplase, concentrated in the low-probability, long-differential region; the prehospital large-vessel-occlusion posterior accounted for the dominant share of outcome variance (Sobol first-order index 0.84-0.93); and no coordinate of the decision plane reached 95% posterior agreement on a single optimal strategy. The framework is open and reproducible and depends only on published trial-level evidence. It is presented as a decision-analytic and hypothesis-generating tool for structuring the tenecteplase-era triage question rather than as a validated operational triage rule, and prospective calibration against region-specific stroke-system data would be required before any deployment.

Indexed as

Emergency Medical ServicesFibrinolytic AgentsIschemic StrokeStrokeTenecteplaseTransportation of PatientsTriageBayes TheoremHumansStochastic ProcessesThrombolytic TherapyTissue Plasminogen ActivatorFibrinolytic AgentsTenecteplaseTissue Plasminogen ActivatorBayesian decision modelconditional probabilitysensitivity analysisstochastic simulationstroketenecteplasethrombectomytransport modelling

Identifiers

PMID42698453
PMCPMC13541526

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.