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Record W4401228556 · doi:10.1177/17474930241273561

The treatment effect across ASPECTS in acute ischemic stroke: Analysis from the AcT trial

2024· article· en· W4401228556 on OpenAlexafffundabout
Chitapa Kaveeta, Ibrahim Alhabli, Fouzi Bala, MacKenzie Horn, Faysal Benali, Shelagh B. Coutts, Atif Zafar, Olena Bereznyakova, Alexander V. Khaw, Houman Khosravani, Gary Hunter, Aleksander Tkach, Dar Dowlatshahi, Luciana Catanese, Chrysi Bogiatzi, Ramana Appireddy, Brian Buck, Richard H. Swartz, Tolulope T. Sajobi, Mohammed Almekhlafi, Andrew M. Demchuk, Aravind Ganesh, Bijoy K. Menon, Nishita Singh

Bibliographic record

VenueInternational Journal of Stroke · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of ManitobaUniversity of AlbertaQueen's UniversityMcMaster UniversityHamilton Health SciencesUniversity of OttawaSt. Michael's HospitalSunnybrook Health Science CentreKelowna General HospitalHealth Sciences CentreLondon Health Sciences CentreWestern UniversityUniversity of TorontoUniversity of SaskatchewanUniversité de MontréalUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Innovates
KeywordsMedicineTenecteplaseStroke (engine)Modified Rankin ScaleIntracerebral hemorrhageFibrinolytic agentLogistic regressionInternal medicineOdds ratioIschemic strokeClinical trialThrombolysisTissue plasminogen activatorSubarachnoid hemorrhageIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Early ischemic changes on baseline imaging are commonly evaluated for acute stroke decision-making and prognostication. AIMS: We assess the association of early ischemic changes on clinical outcomes and whether it differs between intravenous tenecteplase and Alteplase. METHODS: Data are from the phase 3, Alteplase compared to Tenecteplase (AcT) trial. Subjects with anterior circulation stroke were included. Early ischemic changes were assessed using the Alberta Stroke Program Early CT score (ASPECTS). Efficacy outcomes included modified Rankin scale (mRS) 0-1, mRS 0-2, and ordinal mRS at 90 days. Safety outcomes included 24-h symptomatic intracerebral hemorrhage (sICH), any hemorrhage on follow-up scan, and 90-day mortality rate. Mixed-effects logistic regression was used to assess the association of ASPECTS (continuous and categorical (0-4 vs 5-7 vs 8-10)) with outcomes and if these associations were modified by thrombolytic type after adjusting for age, sex, and baseline stroke severity. RESULTS: Of the 1577 patients in the trial, 901 patients (56.3%; median age 75 years (IQR 65-84), 50.8% females, median National Institute of Health Stroke Scale (NIHSS) 14 (IQR 17-19)) with anterior circulation stroke were included. mRS 0-1 at 90 days was achieved in 1/14 (0.3%), 43/160 (14.7%), and 252/726 (85.1%) in the ASPECTS 0-4, 5-7, and 8-10 groups respectively. Every one-point decrease in ASPECTS was associated with 2.7% and 1.9% decrease in chances of mRS 0-1 and mRS 0-2 at 90 days, respectively, and 1.9% chances of increase in mortality at 90 days. Subgroup analysis in endovascular thrombectomy (EVT)-treated population showed similar results. Thrombolytic type did not modify this association between ASPECTS and 90-day mRS 0-1 (P-interaction 0.75). There was no significant interaction by thrombolytic type with any other outcomes. CONCLUSION: Similar to prior studies, we found that every one-point decrease in ASPECTS was associated with poorer clinical and safety outcomes. This effect did not differ between alteplase and tenecteplase. DATA ACCESS STATEMENT: Data shall made available on reasonable request from the PI (BMM).

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)0.013
metaresearch head score (Gemma)0.016
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 score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
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 head0.011
GPT teacher head0.328
Teacher spread0.316 · 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

Citations6
Published2024
Admission routes3
Has abstractyes

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