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Record W2885246511 · doi:10.1177/1747493018784478

Rationale, design, and baseline participant characteristics in the MRI and cognitive substudy of the cardiovascular outcomes for people using anticoagulation strategies trial

2018· article· en· W2885246511 on OpenAlexaffabout
Mukul Sharma, Robert G. Hart, Eric E. Smith, Jackie Bosch, Fei Yuan, Amparo Casanova, John W. Eikelboom, Stuart J. Connolly, G.C. Wong, 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, Jong‐Won Ha, 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, Nancy Cook Bruns, Scott D. Berkowitz, Salim Yusuf

Bibliographic record

VenueInternational Journal of Stroke · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecHotchkiss Brain InstituteUniversity of CalgaryHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersBayer
KeywordsMedicineBaseline (sea)CognitionPhysical therapyPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Covert vascular disease of the brain manifests as infarcts, white matter hyperintensities, and microbleeds on MRI. Their cumulative effect is often a decline in cognition, motor impairment, and psychiatric disorders. Preventive therapies for covert brain ischemia have not been established but represent a huge unmet clinical need. AIMS: The MRI substudy examines the effects of the antithrombotic regimens in COMPASS on incident covert brain infarcts (the primary outcome), white matter hyperintensities, and cognitive and functional status in a sample of consenting COMPASS participants without contraindications to MRI. METHODS: COMPASS is a randomized superiority trial testing rivaroxaban 2.5 mg bid plus acetylsalicylic acid 100 mg and rivaroxaban 5 mg bid against acetylsalicylic acid 100 mg per day for the combined endpoint of MI, stroke, and cardiovascular death in individuals with stable coronary artery disease or peripheral artery disease. T1-weighted, T2-weighted, T2*-weighted, and FLAIR images were obtained close to randomization and near the termination of assigned antithrombotic therapy; biomarker and genetic samples at randomization and one month, and cognitive and functional assessment at randomization, after two years and at the end of study. RESULTS: Between March 2013 and May 2016, 1905 participants were recruited from 86 centers in 16 countries. Of these participants, 1760 underwent baseline MRI scans that were deemed technically adequate for interpretation. The mean age at entry of participants with interpretable MRI was 71 years and 23.5% were women. Coronary artery disease was present in 90.4% and 28.1% had peripheral artery disease. Brain infarcts were present in 34.8%, 29.3% had cerebral microbleeds, and 93.0% had white matter hyperintensities. The median Montreal Cognitive Assessment score was 26 (interquartile range 23-28). CONCLUSIONS: The COMPASS MRI substudy will examine the effect of the antithrombotic interventions on MRI-determined covert brain infarcts and cognition. Demonstration of a therapeutic effect of the antithrombotic regimens on brain infarcts would have implications for prevention of cognitive decline and provide insight into the pathogenesis of vascular cognitive decline.

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)0.019
metaresearch head score (Gemma)0.019
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.019
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0210.006

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 head0.077
GPT teacher head0.343
Teacher spread0.266 · 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

Citations16
Published2018
Admission routes2
Has abstractyes

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