The economic impact of stent retriever selection for acute ischemic stroke: a cost analysis of MASTRO I from the healthcare system perspective of the United States, Canada and eight European countries
Bibliographic record
Abstract
Aim: According to the results of the MASTRO I living systematic review and meta-analysis, use of the EmboTrap Revascularization ® Device in the treatment of acute ischemic stroke (AIS) results in higher rates of good functional outcomes (90-day modified Rankin Scale [mRS] 0–2) compared with use of the Trevo ® Retriever or the Solitaire™ Revascularization Device. The aim of this analysis was to assess the potential economic impact of achieving improved functional outcomes for three commonly used stent retrievers (SRs) in the treatment of AIS. Methods: An economic model with short-term and long-term costs, representing a healthcare system perspective was developed using a decision tree to simulate a cohort of 1000 hypothetical patients treated for AIS with mechanical thrombectomy (MT) using EmboTrap, Trevo or Solitaire SRs. Based on the proportion of patients who achieved a 90-day mRS score of 0–2 or 3–5 for each device reported in MASTRO I (excluding patients not surviving after 90 days), this model estimated per-patient costs and the associated incremental cost savings. Results are reported from the healthcare system perspective in the US, Canada, the UK, Sweden, Germany, France, Italy, Spain, Belgium and The Netherlands. Results: Across all ten countries, the use of EmboTrap during MT was associated with the lowest short-term (ranging from €8412 in Italy to $66,525 in the US), long-term (ranging from €5249 in Italy to $25,757 in the US) and total (ranging from €13,661 in Italy to $92,282 in the US) per-patient costs. The total per-patient cost was higher with Trevo (ranging from €14,601 in Italy to $97,487 in the US) and Solitaire (ranging from €14,840 in Italy to $98,814 in the US). Cost savings were highest when comparing EmboTrap versus Solitaire, followed by EmboTrap versus Trevo, with Trevo versus Solitaire having the smallest cost savings. Results of sensitivity and scenario analyses supported the robustness of the base-case results. Conclusion: Across the ten countries, treating patients with AIS with EmboTrap resulted in lower short-term, long-term and total costs to the payer. With rising healthcare costs and limited hospital budgets, these results suggest EmboTrap proves to be an evidence-based economical choice of SR for hospitals and healthcare systems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".