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Record W4200348914 · doi:10.1001/jamaneurol.2021.4514

Comparison of Ticagrelor vs Clopidogrel in Addition to Aspirin in Patients With Minor Ischemic Stroke and Transient Ischemic Attack

2021· review· en· W4200348914 on OpenAlexaff
Ronda Lun, Shan Dhaliwal, Gabriele Zitikyte, Danielle Carole Roy, Brian Hutton, Dar Dowlatshahi

Bibliographic record

VenueJAMA Neurology · 2021
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsTicagrelorAspirinClopidogrelMinor strokeMedicineCardiologyStroke (engine)Internal medicineIschemic strokeTransient (computer programming)AnesthesiaIschemiaComputer science

Abstract

fetched live from OpenAlex

Importance: Dual antiplatelet therapy (DAPT) with clopidogrel and aspirin is effective in preventing recurrent strokes after minor ischemic stroke or transient ischemic attack (TIA). However, there is emerging evidence for the use of ticagrelor and aspirin, and the 2 DAPT regimens have not been compared directly. Objective: To compare ticagrelor and aspirin with clopidogrel and aspirin in patients with acute minor ischemic stroke or TIA in the prevention of recurrent strokes or death. Data Sources: MEDLINE, Embase, and Cochrane from database inception until February 2021. Study Selection: Randomized clinical trials that enrolled adults with acute minor ischemic stroke or TIA and provided the mentioned interventions within 72 hours of symptom onset, with a minimum follow-up of 30 days. Data Extraction and Synthesis: PRISMA guidelines for network meta-analyses were followed. Two reviewers independently extracted data and appraised risk of bias. Fixed-effects models were fit using a bayesian approach to network meta-analysis. Between-group comparisons were estimated using hazard ratios (HRs) with 95% credible intervals (95% CrIs). Surface under the cumulative rank curve plots were produced. Main Outcomes and Measures: The primary outcome was a composite of recurrent stroke or death up to 90 days. Secondary outcomes include major bleeding, mortality, adverse events, and functional disability. A sensitivity analysis was performed at 30 days for the primary outcome. Results: A total of 4014 citations were screened; 5 randomized clinical trials were included. Data from 22 098 patients were analyzed, including 5517 in the clopidogrel and aspirin arm, 5859 in the ticagrelor and aspirin arm, and 10 722 in the aspirin arm. Both clopidogrel and aspirin (HR, 0.74; 95% CrI, 0.65-0.84) and ticagrelor and aspirin (HR, 0.79; 95% CrI, 0.68-0.91) were superior to aspirin in the prevention of recurrent stroke and death. There was no statistically significant difference between clopidogrel and aspirin compared with ticagrelor and aspirin (HR, 0.94; 95% CrI, 0.78-1.13). Both DAPT regimens had higher rates of major hemorrhage than aspirin alone. Clopidogrel and aspirin was associated with a decreased risk of functional disability compared with aspirin alone (HR, 0.82; 95% CrI, 0.74-0.91) and ticagrelor and aspirin (HR, 0.85; 95% CrI, 0.75-0.97). Conclusions and Relevance: DAPT combining aspirin with either ticagrelor or clopidogrel was superior to aspirin alone, but there was no statistically significant difference found between the 2 regimens for the primary outcome.

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)0.015
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.019
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.028
GPT teacher head0.318
Teacher spread0.290 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations61
Published2021
Admission routes1
Has abstractyes

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