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Record W4283029521 · doi:10.1002/ana.26445

<scp>Intravenous</scp> Thrombolysis with Tenecteplase for the Treatment of Acute Ischemic Stroke

2022· article· en· W4283029521 on OpenAlexaff
Georgios Tsivgoulis, Aristeidis H. Katsanos, Christos Christogiannis, Dimitris Mavridis, Anand Dixit, Lina Palaiodimou, Dheeraj Khurana, Marco Petruzzellis, Klearchos Psychogios, Mary Joan MacLeod, Niaz Ahmed

Bibliographic record

VenueAnnals of Neurology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsTenecteplaseMedicineThrombolysisInterquartile rangeModified Rankin ScaleOdds ratioFibrinolytic agentStroke (engine)Confidence intervalTissue plasminogen activatorInternal medicineSurgeryIschemiaIschemic strokeMyocardial infarction

Abstract

fetched live from OpenAlex

OBJECTIVE: Intravenous thrombolysis (IVT) with tenecteplase has been associated with better clinical outcomes in acute ischemic stroke (AIS) patients with confirmed large vessel occlusions compared to IVT with alteplase. However, the utility of tenecteplase for the treatment of all AIS patients eligible for IVT has not been established. METHODS: We compared the safety and efficacy of tenecteplase versus alteplase in AIS patients by analyzing propensity score matched data from 20 centers participating in the Safe Implementation of Treatments in Stroke-International Stroke Thrombolysis Register. Patients receiving IVT with tenecteplase were matched with up to 3 patients receiving alteplase from the same center. The primary outcome of interest was the distribution of 3-month functional outcomes. Secondary outcomes included the rates of patients with symptomatic intracranial hemorrhage (SICH) in the first 24 hours, excellent (modified Rankin Scale [mRS] score = 0-1) or good (mRS score = 0-2) functional outcome, and all-cause mortality at 3 months. RESULTS: A total of 331 tenecteplase-treated AIS patients were matched to 797 patients treated with alteplase (median age = 70 years, 43.9% women, median National Institutes of Health Stroke Scale score = 11, interquartile range = 6-17). Patients treated with tenecteplase had better 3-month functional outcomes (common odds ratio [OR] = 1.54, 95% confidence interval [CI] = 1.18-2.00) with higher odds of good functional outcome (OR = 2.00, 95% CI = 1.45-2.77) and a lower likelihood of all-cause mortality (OR = 0.43, 95% CI = 0.27-0.67) at 3 months, compared to alteplase-treated patients. No difference was found in the likelihood of the 3-month excellent functional outcomes (OR = 1.31, 95% CI = 0.96-1.78) and 24-hour SICH (1.0% vs 1.3%, OR = 0.72, 95% CI = 0.20-2.64). INTERPRETATION: IVT with tenecteplase was associated with better 3-month clinical outcomes compared to IVT with alteplase in AIS patients, with no increased risk of symptomatic intracranial bleeding. ANN NEUROL 2022;92:349-357.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.287
Teacher spread0.257 · 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 designNon-randomized 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

Citations23
Published2022
Admission routes1
Has abstractyes

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