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Record W3006186234 · doi:10.1161/strokeaha.119.027465

Disability After Minor Stroke and Transient Ischemic Attack in the POINT Trial

2020· article· en· W3006186234 on OpenAlexaff
Brett Cucchiara, Jordan Elm, J. Donald Easton, Shelagh B. Coutts, Joshua Z. Willey, Michelle H. Biros, Michael A. Ross, S. Claiborne Johnston

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity of Calgary
FundersNational Institute of Neurological Disorders and Stroke
KeywordsMedicineAspirinStroke (engine)ClopidogrelInternal medicineModified Rankin ScaleMinor strokeOdds ratioPost-hoc analysisClinical endpointCardiologyRandomized controlled trialMyocardial infarctionPhysical therapyIschemic strokeIschemia

Abstract

fetched live from OpenAlex

Background and Purpose— While combination aspirin and clopidogrel reduces recurrent stroke compared with aspirin alone in patients with transient ischemic attack (TIA) or minor stroke, the effect on disability is uncertain. Methods— The POINT trial (Platelet-Oriented Inhibition in New TIA and Minor Ischemic Stroke) randomized patients with TIA or minor stroke (National Institutes of Health Stroke Scale score ≤3) within 12 hours of onset to dual antiplatelet therapy (DAPT) with aspirin plus clopidogrel versus aspirin alone. The primary outcome measure was a composite of stroke, myocardial infarction, or vascular death. We performed a post hoc exploratory analysis to examine the effect of treatment on overall disability (defined as modified Rankin Scale score >1) at 90 days, as well as disability ascribed by the local investigator to index or recurrent stroke. We also evaluated predictors of disability. Results— At 90 days, 188 of 1964 (9.6%) of patients enrolled with TIA and 471 of 2586 (18.2%) of those enrolled with stroke were disabled. Overall disability was similar between patients assigned DAPT versus aspirin alone (14.7% versus 14.3%; odds ratio, 0.97 [95% CI, 0.82–1.14]; P =0.69). However, there were numerically fewer patients with disability in conjunction with a primary outcome event in the DAPT arm (3.0% versus 4.0%; odds ratio, 0.73 [95% CI, 0.53–1.01]; P =0.06) and significantly fewer patients in the DAPT arm with disability attributed by the investigators to either the index event or recurrent stroke (5.9% versus 7.4%; odds ratio, 0.78 [95% CI, 0.62–0.99]; P =0.04). Notably, disability attributed to the index event accounted for the majority of this difference (4.5% versus 6.0%; odds ratio, 0.74 [95% CI, 0.57–0.96]; P =0.02). In multivariate analysis, age, subsequent ischemic stroke, serious adverse events, and major bleeding were significantly associated with disability in TIA; for those with stroke, female sex, hypertension, or diabetes mellitus, National Institutes of Health Stroke Scale score, recurrent ischemic stroke, subsequent myocardial infarction, and serious adverse events were associated with disability. Conclusions— In addition to reducing recurrent stroke in patients with acute minor stroke and TIA, DAPT might reduce stroke-related disability. Registration— URL: https://www.clinicaltrials.gov . Unique identifier: NCT00991029.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.264
Teacher spread0.242 · 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

Citations60
Published2020
Admission routes1
Has abstractyes

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