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Record W4288445152 · doi:10.1136/jnis-2022-019207

Time to treatment with bridging intravenous alteplase before endovascular treatment:subanalysis of the randomized controlled SWIFT-DIRECT trial

2022· review· en· W4288445152 on OpenAlexafffund
Thomas R. Meinel, Johannes Kaesmacher, Lukas Buetikofer, Daniel Strbian, Omer Eker, Christophe Cognard, Pasquale Mordasini, Sandro Deppeler, Vítor Mendes Pereira, Jean François Albucher, Jean Darcourt, Romain Bourcier, B. Guillon, Chrysanthi Papagiannaki, Guillaume Costentin, Gerli Sibolt, Silja Räty, Benjamin Gory, Sébastien Richard, Jan Liman, Marielle Ernst, Marion Boulanger, Charlotte Barbier, Laura Mechtouff, Liqun Zhang, Gaultier Marnat, Igor Sibon, Omid Nikoubashman, Arno Reich, Arturo Consoli, David Weisenburger, Manuel Requena, Álvaro García‐Tornel, Suzana Saleme, Solène Moulin, Paolo Pagano, Guillaume Saliou, Emmanuel Carrera, Kévin Janot, Martí Boix, Raoul Pop, Lucie Della Schiava, Andreas R. Luft, Michel Piotin, Jean‐Christophe Gentric, Aleksandra Pikula, Waltraud Pfeilschifter, Marcel Arnold, Adnan H. Siddiqui, Michael T. Froehler, Anthony J. Furlan, René Chapot, Martin Wiesmann, Paolo Machi, Hans‐Christoph Diener, Zsolt Kulcsár, Leo H. Bonati, Claudio L. Bassetti, Simon Escalard, David S. Liebeskind, Jeffrey L. Saver, Urs Fischer, Jan Gralla

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2022
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
FundersNational Institute of Biomedical Imaging and BioengineeringUniversité de ParisRégion NormandieAssistance publique-Hôpitaux de ParisUniversity of TorontoHospices Civils de LyonInstitut National de la Santé et de la Recherche MédicaleRWTH Aachen UniversityUniversität HeidelbergForschungszentrum JülichMedtronicKepler UniversitätsklinikumInselspital, Universitätsspital BernMcGill University Health CentreMcGill University
KeywordsMedicineBridging (networking)Randomized controlled trialSwiftEndovascular treatmentSurgeryAneurysm

Abstract

fetched live from OpenAlex

BACKGROUND: We hypothesized that treatment delays might be an effect modifier regarding risks and benefits of intravenous thrombolysis (IVT) before mechanical thrombectomy (MT). METHODS: We used the dataset of the SWIFT-DIRECT trial, which randomized 408 patients to IVT+MT or MT alone. Potential interactions between assignment to IVT+MT and expected time from onset-to-needle (OTN) as well as expected time from door-to-needle (DTN) were included in regression models. The primary outcome was functional independence (modified Rankin Scale (mRS) 0-2) at 3 months. Secondary outcomes included mRS shift, mortality, recanalization rates, and (symptomatic) intracranial hemorrhage at 24 hours. RESULTS: We included 408 patients (IVT+MT 207, MT 201, median age 72 years (IQR 64-81), 209 (51.2%) female). The expected median OTN and DTN were 142 min and 54 min in the IVT+MT group and 129 min and 51 min in the MT alone group. Overall, there was no significant interaction between OTN and bridging IVT assignment regarding either the functional (adjusted OR (aOR) 0.76, 95% CI 0.45 to 1.30) and safety outcomes or the recanalization rates. Analysis of in-hospital delays showed no significant interaction between DTN and bridging IVT assignment regarding the dichotomized functional outcome (aOR 0.48, 95% CI 0.14 to 1.62), but the shift and mortality analyses suggested a greater benefit of IVT when in-hospital delays were short. CONCLUSIONS: We found no evidence that the effect of bridging IVT on functional independence is modified by overall or in-hospital treatment delays. Considering its low power, this subgroup analysis could have missed a clinically important effect, and exploratory analysis of secondary clinical outcomes indicated a potentially favorable effect of IVT with shorter in-hospital delays. Heterogeneity of the IVT effect size before MT should be further analyzed in individual patient meta-analysis of comparable trials. TRIAL REGISTRATION NUMBER: URL: https://www. CLINICALTRIALS: gov ; Unique 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)0.011
metaresearch head score (Gemma)0.018
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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.033
GPT teacher head0.288
Teacher spread0.256 · 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".

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Citations12
Published2022
Admission routes2
Has abstractyes

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