MétaCan
Menu
Back to cohort
Record W1971500923 · doi:10.1159/000083885

Enhanced Antiplatelet Effects of Clopidogrel plus Acetylsalicylic Acid Compared with Acetylsalicylic Acid Alone or Combined with Extended-Release Dipyridamole in Healthy Volunteers

2005· article· en· W1971500923 on OpenAlexaff
Henri Caplain

Bibliographic record

VenueCerebrovascular Diseases · 2005
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineDipyridamoleClopidogrelAspirinPharmacologyTiclopidinePlateletP2Y12AnesthesiaInternal medicineCardiology

Abstract

fetched live from OpenAlex

BACKGROUND: Previous studies have shown the potential benefit of using antiplatelet agents with complementary modes of action. METHODS: Using a crossover design, the ex vivo antiplatelet effects of 10 days' treatment with clopidogrel 75 mg + acetylsalicylic acid (ASA) 75 mg daily, ASA 75 mg/day, or extended-release dipyridamole 200 mg/low-dose ASA 25 mg twice daily were compared, using various platelet agonists. RESULTS: Clopidogrel + ASA was significantly more effective than dipyridamole + ASA in inhibiting collagen-induced platelet aggregation in whole blood (mean 44.9 +/- 5.6% inhibition vs. 16.5 +/- 6.7%; p = 0.0009). Clopidogrel + ASA was significantly more effective than ASA or dipyridamole + ASA in inhibiting ADP-induced platelet aggregation in whole blood (p < or = 0.0001) and platelet-rich plasma (PRP) (p < or = 0.0001), and in inhibiting collagen-induced aggregation in PRP (p < or = 0.0001). ASA alone and clopidogrel + ASA were significantly more effective than dipyridamole + ASA in inhibiting arachidonic acid-induced platelet aggregation in whole blood (p < or = 0.0001). CONCLUSIONS: Based on ex vivo platelet aggregometry, clopidogrel + ASA is a more potent antiplatelet regimen than either ASA alone or the marketed combination of dipyridamole + ASA. However, the clinical significance of this finding remains to be confirmed.

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 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 (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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 teacher head, not a consensus.

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

Citations5
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCerebrovascular DiseasesSame topicAntiplatelet Therapy and Cardiovascular DiseasesFrench-language works237,207