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Record W4386591759 · doi:10.1017/cjn.2023.287

Dual Antiplatelet Therapy in Minor Stroke/Transient Ischemic Attack – An Updated Network Meta-Analysis

2023· article· en· W4386591759 on OpenAlexaffvenue
Ronda Lun, Gabriele Zitikyte, Danielle Carole Roy, Shan Dhaliwal, Dar Dowlatshahi

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2023
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsOttawa Public HealthOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsTicagrelorAspirinClopidogrelCYP2C19Minor strokeMedicineStroke (engine)PopulationInternal medicineRandomized controlled trialCardiologyHazard ratioConfidence interval

Abstract

fetched live from OpenAlex

We previously analyzed five trials on ticagrelor/aspirin versus clopidogrel/aspirin in patients with minor stroke/ TIA in a network meta-analysis. We updated our search and identified 311 new citations with one study for inclusion: CHANCE2 enrolled patients with CYP2C19 loss-of-function alleles and randomized them to ticagrelor/aspirin or clopidogrel/aspirin. Pooling of CHANCE2 with the original studies could not be completed due to violation of NMA assumptions, due to significant inconsistency. This suggests patients with CYP2C19 loss-of-function alleles represent a subpopulation that is inherently different from the general stroke population in their antiplatelet response. Results from CHANCE-2 may not be generalizable without genotype testing.

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)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.029
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0020.001
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 head0.092
GPT teacher head0.311
Teacher spread0.219 · 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 designMeta-analysis
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
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicAntiplatelet Therapy and Cardiovascular DiseasesFrench-language works237,207