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Record W3087021654 · doi:10.1161/strokeaha.120.029762

Rivaroxaban for Prevention of Covert Brain Infarcts and Cognitive Decline

2020· article· en· W3087021654 on OpenAlexaff
Mukul Sharma, Robert G. Hart, Eric E. Smith, Jackie Bosch, John W. Eikelboom, Stuart J. Connolly, Leanne Dyal, K. Reeh, Amparo Casanova, Rafael Díaz, Patricio López‐Jaramillo, Georg Ertl, Stefan Störk, Gilles R. Dagenais, Eva Lonn, Lars Rydén, Andrew Tonkin, George Varigos, Deepak L. Bhatt, Kelley R. Branch, Jeffrey L. Probstfield, Jae‐Hyung Kim, Martin O’Donnell, Dragoş Vinereanu, Keith A.A. Fox, Yan Liang, Lisheng Liu, Jun Zhu, Nana Pogosova, Aldo P. Maggioni, Álvaro Avezum, Leopoldo Soares Piegas, Katalin Keltai, Mátyás Keltai, Scott D. Berkowitz, Salim Yusuf

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecOntario Brain InstituteUniversity of CalgaryMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineAspirinRivaroxabanStroke (engine)HyperintensityCardiologyInternal medicineMagnetic resonance imagingWhite matterInfarctionAnesthesiaMyocardial infarctionRadiologyWarfarinAtrial fibrillation

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Covert brain infarcts are associated with cognitive decline. It is not known whether therapies that prevent symptomatic stroke prevent covert infarcts. COMPASS compared rivaroxaban with and without aspirin with aspirin for the prevention of stroke, myocardial infarction, and vascular death in participants with stable vascular disease and was terminated early because of benefits of rivaroxaban 2.5 mg twice daily plus aspirin over aspirin. We obtained serial magnetic resonance imagings and cognitive tests in a consenting subgroup of COMPASS patients to examine treatment effects on infarcts, cerebral microbleeds, and white matter hyperintensities. METHODS: Baseline and follow-up magnetic resonance imagings were completed in 1445 participants with a mean (SD) interval of 2.0 (0.7) years. Whole-brain T1, T2 fluid-attenuated inversion recovery, T2* sequences were centrally interpreted by blinded, trained readers. Participants had serial measurements of cognition and function. The primary end point was the proportion of participants with incident covert infarcts. Secondary end points were the composite of clinical stroke and covert brain infarcts, cerebral microbleeds, and white matter hyperintensities. RESULTS: At baseline, 493 (34.1%) participants had infarcts. Incident covert infarcts occurred in 55 (3.8%) participants. In the overall trial rivaroxaban plus aspirin reduced ischemic stroke by 49% (0.7% versus 1.4%; hazard ratio [95% CI], 0.51 [0.38-0.68]). In the magnetic resonance imaging substudy the effects of rivaroxaban+aspirin versus aspirin were: covert infarcts: 2.7% versus 3.5% (odds ratio [95% CI], 0.77 [0.37-1.60]); Covert infarcts or ischemic stroke: 2.9% versus 5.3% (odds ratio [95% CI], 0.53 [0.27-1.03]). Incident microbleeds occurred in 6.6% of participants and 65.7% of participants had an increase in white matter hyperintensities volume with no effect of treatment for either end point. There was no effect on cognitive tests. CONCLUSIONS: Covert infarcts were not significantly reduced by treatment with rivaroxaban and aspirin but estimates for the combination of ischemic stroke and covert infarcts were consistent with the effect on ischemic stroke in the overall trial. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01776424.

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: 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)0.0010.001
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.302
Teacher spread0.279 · 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 designRandomized 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

Citations25
Published2020
Admission routes1
Has abstractyes

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