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SIMULATION-BASED TRAINING OF RAPID EVALUATION AND MANAGEMENT FOR ACUTE STROKE (STREAM) TRIAL (STREAM)

2018· preprint· en· W4213277979 on OpenAlexaboutno aff
Ferdinand O. Bohmann

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Acute strokeComputer scienceStroke (engine)MedicineInternal medicineGeographyEngineeringMeteorology

Abstract

fetched live from OpenAlex

Solitaireu2122 With the Intention For Thrombectomy Plus Intravenous t-PA Versus DIRECT Solitaireu2122 Stent-retriever Thrombectomy in Acute Anterior Circulation Stroke(SWIFT DIRECT)Urs Fischer1, Vitor Mendes Pereira2, Johannes Kaesmacher1, Renu00e9 Chapot3, Adnan Siddiqui4, Jenny Bressan1, Melanie Schmidhalter1, Michael Froehler5, Christoph Cognard6, Stefanie Lerch1, Anthony Furlan7, Jeffrey L Saver8, Jan Gralla11University Hospital and University of Bern, Bern, Switzerland2University of Toronto, Canada3Alfried Krupp Krankenhaus, Essen, Germany 4University at Buffalo, USA5Vanderbilt University Medical Center, USA6University of Toulouse, France7UH Cleveland Medical Center, USA8University of California, USABACKGROUND Whether pre-treatment with intravenous thrombolysis (IVT) prior to mechanical thrombectomy (MT) with stent retrievers is beneficial has become a matter of debate. In a patient-level pooled analysis of five randomized controlled studies (HERMES collaboration) the treatment effect size of MT did not differ between patients receiving IVT and those treated with MT alone. SWIFT DIRECT aims to determine, whether direct MT in patients with proximal vessel occlusion in the anterior circulation is non-inferior to IVT and MT.METHODS The international, multicentre, randomised-controlled, two-arm, open label, blinded endpoint (PROBE) trial SWIFT DIRECT will randomize 404 patients into the experimental arm (direct MT; 202) or control arm (bridging thrombolysis; 202). The trial will only be performed in patients with immediate access to MT. Main inclusion criteria are signed informed consent, age >18 and <86 years, confirmed ischaemic stroke, NIHSS u22658 and <30 and eligibility for IVT and MT. The primary outcome is functional independence (mRS) u22642 at 90 days. Main secondary outcomes are mortality, change in NIHSS score post randomization, time to reperfusion (TICI u22652b) and quality of life.RESULTS The recruitment started in October 2017. Eleven patients have been enrolled by 25.03.2018. Over 30 sites in Switzerland, Germany, Austria, France, Spain, Finland and Canada will participate in this clinical trial.CONCLUSIONS If direct MT in patients with large artery vessel occlusion in the anterior circulation is as safe and efficacious as IVT and MT, this would have a relevant impact on future stroke management.ClinicalTrials.gov Identifier: NCT03192332

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.307
Teacher spread0.262 · 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 designRandomized trial
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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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