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Record W4412491360 · doi:10.1161/strokeaha.125.051670

Faster Thrombolysis Is Associated With Improved Cognitive Outcomes in Patients With Acute Ischemic Stroke Treated With Alteplase and Tenecteplase: A Substudy of the AcT Trial

2025· article· en· W4412491360 on OpenAlexaffabout
Sajeevan Sujanthan, G. R. Rajkumar, Katie N. Dainty, Morgan D. Barense, Krista L. Lanctôt, Adrian M. Owen, Nishita Singh, Brian Buck, Houman Khosravani, Shelagh B. Coutts, Mohammed Almekhlafi, Ramana Appireddy, Aleksander Tkach, Luciana Catanese, Dar Dowlatshahi, Jennifer Mandzia, Aleksandra Pikula, Heather Williams, Thalia S. Field, Herbert Alejandro Manosalva Alzate, Muzaffar Siddiqui, Gary Hunter, MacKenzie Horn, Fouzi Bala, Michael D. Hill, Michel Shamy, Aravind Ganesh, Tolulope T. Sajobi, Bijoy K. Menon, Richard H. Swartz

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of SaskatchewanMedicine Hat Regional HospitalUniversity of British ColumbiaToronto Western HospitalLondon Health Sciences CentreUniversity of OttawaMcMaster UniversityHamilton Health SciencesInstitute of Health Services and Policy ResearchQueen's UniversityUniversity of CalgaryMcMaster University Medical CentreUniversity of Alberta HospitalGrey Nuns Community HospitalUniversity of AlbertaSunnybrook Health Science CentreKelowna General HospitalUniversity of ManitobaBaycrest HospitalUniversity of TorontoWestern University
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentTenecteplaseThrombolysisStroke (engine)Odds ratioLogistic regressionRandomized controlled trialCognitive declineInternal medicineModified Rankin ScalePhysical therapyIschemic strokeCognitive impairmentIschemiaDementiaMyocardial infarctionDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive impairment after stroke is linked with poorer functional outcomes. Faster thrombolytic improves recanalization, 3-month functional recovery, and in-hospital survival. We examined whether faster treatment times from door-to-needle and symptom onset-to-needle (OTN) impacted cognition. METHODS: This study is a prespecified secondary observational cohort analysis of the AcT randomized clinical trial (Alteplase Compared to Tenecteplase; URL: https://www.clinicaltrials.gov; Unique identifier: NCT03889249) data. Eligible participants were English-speaking individuals who independently completed the trial's primary outcome and were recruited from 18 stroke centers within Canada. Prospective cognitive outcomes were collected at 90 to 180 days using a Telephone Montreal Cognitive Assessment (T-MoCA range, 0-22; <17 impairment). The primary aim was to assess cognitive performance and its relationship with treatment times (door-to-needle and OTN) at 90 to 180 days. Linear and logistic regression analyses were used to evaluate the relationship, adjusting for treatment allocation, age, sex, baseline National Institutes of Health Stroke Scale, education, ethnicity, and occlusion location. RESULTS: Three hundred ninety-nine (50%) of 791 eligible subjects completed the T-MoCA. The mean age was 66±13 years, 38.8% were female, and the mean T-MoCA score was 16±4. Shorter OTN times (but not door-to-needle) were associated with higher T-MoCA scores on linear regression (β, -0.009 [95% CI, -0.016 to -0.002]) and with increased odds of T-MoCA impairment for every 1-minute increase on logistic regression (odds ratio, 1.005 [95% CI, 1.001-1.009]). There was no difference between the alteplase and tenecteplase subgroups in the relationship between treatment times and cognition. Each 15-minute reduction in OTN was associated with a 7.3% reduction in the probability of impairment (score <17) on the T-MoCA. CONCLUSIONS: Faster OTN time, with either alteplase or tenecteplase, was associated with higher T-MoCA scores and reduced the likelihood of impairment at 90 days. Faster thrombolytic treatment may reduce cognitive burden after stroke.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.006
GPT teacher head0.239
Teacher spread0.233 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

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