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Record W3212767676 · doi:10.1159/000520673

Comparison of Prasugrel and Ticagrelor for Patients with Acute Coronary Syndrome: A Systematic Review and Meta-Analysis

2021· review· en· W3212767676 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCardiology · 2021
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsPrasugrelTicagrelorMedicineAcute coronary syndromeInternal medicineMyocardial infarctionStroke (engine)Clinical endpointCardiologyRandomized controlled trial

Abstract

fetched live from OpenAlex

<b><i>Introduction:</i></b> There have been inconsistent data on the direct comparison of prasugrel and ticagrelor. This meta-analysis was conducted to summarize the current available evidence. <b><i>Methods:</i></b> We performed a meta-analysis (PROSPERO-registered CRD42020166810) of randomized trials up to February 2020 that compared prasugrel and ticagrelor in acute coronary syndrome with respect to the composite endpoint of myocardial infarction (MI), stroke, or cardiovascular death and secondary endpoints including MI, stroke, cardiovascular death, major bleeding (Bleeding Academic Research Consortium (BARC) type 2 or above), stent thrombosis, all-cause death, and other safety outcomes. <b><i>Results:</i></b> Of the 11 eligible RCTs with 6,098 patients randomized to prasugrel (<i>n</i> = 3,050) or ticagrelor (<i>n</i> = 3,048), 180 and 207 had the composite endpoint events in the prasugrel arm and the ticagrelor arm, respectively, over a weighted mean follow-up period of 11 ± 2 months. Compared with prasugrel, the ticagrelor group had similar risk in the primary composite endpoint (risk ratio [RR] = 1.17; 95% CI = 0.96–1.42; <i>p</i> = 0.12, <i>I</i><sup>2</sup> = 0%). Compared to prasugrel, there was no significant difference associated with the ticagrelor groups with respect to stroke (RR = 1.05; 95% CI = 0.66–1.67; <i>p</i> = 0.84, <i>I</i><sup>2</sup> = 0%), cardiovascular death (RR = 1.01; 95% CI = 0.75–1.36; <i>p</i> = 0.95, <i>I</i><sup>2</sup> = 0%), BARC type 2 or above bleeding (RR = 1.16; 95% CI = 0.89–1.52; <i>p</i> = 0.26, <i>I</i><sup>2</sup> = 0%), stent thrombosis (RR = 1.58; 95% CI = 0.90–2.76; <i>p</i> = 0.11, <i>I</i><sup>2</sup> = 0%), and all-cause death (RR = 1.10; 95% CI = 0.86–1.43; <i>p</i> = 0.45, <i>I</i><sup>2</sup> = 0%) except MI (RR = 1.38; 95% CI = 1.05–1.81; <i>p</i> = 0.02, <i>I</i><sup>2</sup> = 0%) <b><i>Conclusion:</i></b> Compared with prasugrel, ticagrelor did not reduce the primary composite endpoint of MI, stroke, and cardiovascular death at a weighted mean follow-up of 11 months. There was no significant difference between the secondary outcomes except MI.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.456
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0220.004
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)0.0000.000

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 head0.064
GPT teacher head0.364
Teacher spread0.300 · 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