MétaCan
Menu
Back to cohort
Record W1992355666 · doi:10.1055/s-2005-869518

Platelet Aggregation and Adenosine Diphosphate/Adenosine Triphosphate Receptors: A Historical Perspective

2005· review· en· W1992355666 on OpenAlexaff
Marian A. Packham, J. F. Mustard

Bibliographic record

VenueSeminars in Thrombosis and Hemostasis · 2005
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAdenylyl cyclaseP2Y12Adenosine diphosphateAdenosinePlateletReceptorChemistryAdenosine triphosphateInternal medicineEndocrinologyBiochemistryBiologyMedicinePlatelet aggregation

Abstract

fetched live from OpenAlex

The work of many investigators since adenosine diphosphate (ADP) was recognized as a platelet aggregating agent in 1961 has led to an appreciation of the important part that ADP plays in hemostasis and thrombosis. Recently, interest has focused on the platelet receptors for ADP and adenosine triphosphate (ATP). Platelets are unique because they have two P2Y receptors that must act in concert to achieve a normal aggregation response. The P2Y (1) receptor is responsible for mobilizing internal calcium, platelet shape change, and weak aggregation. The P2Y (12) receptor inhibits adenylyl cyclase, but the concentration of cyclic AMP is reduced only if it has been raised from its low basal levels by stimulation of adenylyl cyclase by an aggregation inhibitor such as adenosine or prostaglandin I (2). The abnormal bleeding of the rare patients whose platelets lack P2Y (12) and the beneficial clinical effects of ticlopidine and clopidogrel that block this receptor indicate that P2Y (12), in addition to inhibiting adenylyl cyclase, may have an as yet unidentified role that is needed for its cooperative aggregation effect with P2Y (1). ATP stimulates a rapid influx of calcium into platelets through the P2X (1) receptor, and it may synergize with ADP when these two nucleotides are released from platelets at a site of vessel injury.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.049
GPT teacher head0.343
Teacher spread0.293 · 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 designOther design
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

Citations46
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueSeminars in Thrombosis and HemostasisSame topicAntiplatelet Therapy and Cardiovascular DiseasesFrench-language works237,207