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Record W4390639097 · doi:10.1177/17562864231221324

Tenecteplase for the treatment of acute ischemic stroke in the extended time window: a systematic review and meta-analysis

2024· review· en· W4390639097 on OpenAlexafffund
Lina Palaiodimou, Aristeidis H. Katsanos, Guillaume Turc, Michele Romoli, Aikaterini Theodorou, Robin Lemmens, Simona Sacco, Georgios Velonakis, Charalambos Vlachopoulos, Georgios Tsivgoulis

Bibliographic record

VenueTherapeutic Advances in Neurological Disorders · 2024
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersHeart and Stroke Foundation of Canada
KeywordsMedicineModified Rankin ScaleTenecteplaseOdds ratioMeta-analysisThrombolysisRandomized controlled trialConfidence intervalInternal medicineStroke (engine)Fibrinolytic agentRelative riskTissue plasminogen activatorIschemic strokeIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Outcome data regarding the administration of tenecteplase (TNK) to acute ischemic stroke (AIS) patients presenting in the extended time window are limited. Objectives: We aimed to assess the current evidence regarding the efficacy and safety of TNK at a dose of 0.25 mg/kg for AIS treatment in the extended time window. Design: A systematic review and meta-analysis was conducted including all available randomized-controlled clinical trials (RCTs) that compared TNK 0.25 mg/kg versus no thrombolysis in AIS patients presenting in the extended time window (>4.5 h after last-seen-well or witnessed onset). Data sources and methods: Eligible studies were identified by searching Medline, Scopus, and international conference abstracts. The predefined efficacy outcomes of interest were 3-month excellent functional outcome [defined as the modified Rankin Scale (mRS) score ⩽1; primary outcome], 3-month good functional outcome (mRS ⩽ 2), 3-month reduced disability (⩾1-point reduction across all mRS scores). We determined symptomatic intracranial hemorrhage (sICH), any ICH and 3-month mortality as safety endpoints. A random-effects model was used to calculate risk ratios (RRs) and common odds ratios (cORs) with corresponding 95% confidence intervals (CIs). Results: Three RCTs were included comprising 556 patients treated with TNK versus 560 controls. TNK 0.25 mg/kg was associated with a higher likelihood of 3-month excellent functional outcome compared to controls (RR = 1.17; 95% CI = 1.01–1.36; I2 = 0%), whereas there was no difference regarding good functional outcome (RR = 1.05; 95% CI = 0.94–1.17; I2 = 0%) and reduced disability (adjusted cOR = 1.14; 95% CI = 0.92–1.40; I2 = 0%) at 3 months. The risks of sICH (RR = 1.67; 95% CI = 0.70–4.00; I2 = 0%), any ICH (RR = 1.08; 95% CI = 0.90–1.29; I2 = 0%) and 3-month mortality (RR = 1.10; 95% CI = 0.81–1.49; I2 = 0%) were similar between the groups. Conclusion: Based on data from three RCTs showing increased efficacy and a favorable safety profile of TNK in the treatment of AIS in the extended time window, continuing efforts of ongoing RCTs in the field are clearly supported. Trial registration: PROSPERO registration ID: CRD42023448707.

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)0.009
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0180.029
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
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 head0.052
GPT teacher head0.371
Teacher spread0.319 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2024
Admission routes2
Has abstractyes

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