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Record W4367018552 · doi:10.1161/svin.03.suppl_1.024

Abstract Number ‐ 24: Endovascular thrombectomy with or without bridging thrombolysis in patients with ischemic stroke: A cost‐utility analysis

2023· article· en· W4367018552 on OpenAlexaff
Rami Z. Morsi, Yuan Zhang, Meng Zhu, Shitong Xie, Julián Carrión‐Penagos, Harsh Desai, Elie Tannous, Sachin Kothari, Assem M. Khamis, Ammar Tarabichi, Reena Bastin, Layal Hneiny, Sonam Thind, Elisheva Coleman, James R. Brorson, Scott Mendelson, Ali Mansour, Shyam Prabhakaran, Tareq Kass‐Hout

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsThrombolysisMedicineQuality-adjusted life yearCost–utility analysisStroke (engine)Emergency medicineBridging (networking)Cost–benefit analysisCost effectivenessInternal medicineComputer science

Abstract

fetched live from OpenAlex

Introduction There is clinical equipoise behind bridging intravenous thrombolysis (BT) with endovascular thrombectomy (EVT). We performed a cost‐effectiveness analysis comparing EVT and BT versus EVT alone. Methods We conducted a model‐based cost‐utility analysis comparing the cost‐effectiveness of EVT alone vs. EVT and BT for patients with acute ischemic stroke. We used a decision tree to examine the short‐term costs and outcomes at 90 days after the index stroke. Subsequently, we developed a Markov state transition model to assess the costs and outcomes over 1‐year, 5‐year, and 20‐year time horizons. Treatment costs were based on administrative data. Clinical outcome inputs were derived from literature included in our systematic review. We considered the impact of disability and recurrent stroke on mortality risk, health‐related quality of life, and costs. We estimated total and incremental cost, quality‐adjusted life years (QALYs), and incremental cost‐effectiveness ratio (ICER), expressed as an incremental cost per QALY gained of EVT and BT compared with EVT alone.Probabilistic analysis was used to calculate the reference case estimates. Results The average costs per patient were estimated to be $55,503, $57,814, $68,183, and $84,946 for EVT only strategy, and $47,311, $49,556, $59,625, and $75,898 for EVT and BT over 90‐day, 1‐year, 5‐year, and 20‐year, respectively. The cost saving of EVT only strategy was driven by the avoided medication costs of IVT (ranging from $8,193 to $9,048). The additional thrombolytics led to slight decrease in QALY estimate during the 90‐day time horizon (loss of 0.0016 QALY), but a small gain over 1‐year, 5‐year, and 20‐year time horizons (0.0108, 0.0638, and 0.1481 QALY). With similar outcomes and less cost, the EVT only strategy was cost‐effective compared with EVT and BT. Analyses with longer time horizon show lower probabilities of EVT only strategy being cost‐effective. At a fixed willingness to pay threshold of $50,000, the probabilities of EVT only to be cost‐effective were 100%, 100%, 99.0%, and 65.9% over 90‐day, 1‐year, 5‐year, and 20‐year time horizons. At the willingness to pay thresholds of $100,000 per QALY, the probabilities of EVT only strategy being cost‐effective was 22.8% over the 20‐year time horizon. Conclusions Our cost‐effectiveness model suggested that bridging with thrombolytics may not be cost‐effective for patients with acute ischemic stroke secondary to large vessel occlusion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.012
Bibliometrics0.0050.004
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.014
GPT teacher head0.267
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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