MétaCan
Menu
Back to cohort
Record W2093561137 · doi:10.1080/09537100801989857

Effects of aspirin and clopidogrel in healthy men measured by platelet aggregation and PFA-100

2008· article· en· W2093561137 on OpenAlexaff
Erik Berg Schmidt, Elisabeth Maurer‐Spurej, Søren Risom Kristensen

Bibliographic record

VenuePlatelets · 2008
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsCanadian Blood ServicesUniversity of British Columbia
Fundersnot available
KeywordsClopidogrelAspirinPlateletArachidonic acidMedicinePlatelet aggregationEpinephrineAntiplatelet drugInternal medicinePharmacologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

There are no generally accepted definitions for low-response (frequently called resistance) to the platelet inhibitors, aspirin and clopidogrel. Low-response may increase the risk of cardiovascular events in atherosclerotic patients. We aimed to define the normal drug responses in healthy men. Platelet function was measured in 20 healthy men during 11 days of aspirin or clopidogrel intake, using light transmission aggregometry (LTA) and the Platelet Function Analyzer 100 (PFA-100). The lower limits for LTA at baseline were 64% and 61%, using arachidonic acid and ADP as agonists, respectively. During aspirin intake the LTA results were stable from day to day, and an upper limit of 9% arachidonic acid stimulated aggregation was found. Clopidogrel intake was best shown by ADP induced aggregation. However, two out of 20 individuals exhibited low-response to clopidogrel. In the remaining 18 volunteers an upper limit of 48% aggregation was found. We found an upper limit for collagen-epinephrine stimulated PFA-100 results of 166 s at baseline. During aspirin intake, these results varied considerably from day to day in nine out of 20 men, resulting in an overlap between the reference ranges at baseline and during therapy. In conclusion, platelet inhibition by aspirin and clopidogrel assessed by aggregometry was stable during 11 days of treatment and reference ranges were established. The PFA-100 results varied greatly and low-response was not precisely defined by this method.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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.

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

Citations27
Published2008
Admission routes1
Has abstractyes

Explore more

Same venuePlateletsSame topicAntiplatelet Therapy and Cardiovascular DiseasesFrench-language works237,207