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Record W1546447454

Abstract 18482: Pharmacokinetics and Pharmacodynamics of Dabigatran Etexilate in Adolescents: An Open-label Phase IIa Study

2014· article· en· W1546447454 on OpenAlexaff
Maximilian T. Lobmeyer, Thorsten Lehr, Jacqueline Halton, Lisa Cronin, Sebastian Haertter, Lesley Mitchell

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsStollery Children's HospitalBoehringer Ingelheim (Canada)Children's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineDabigatranPharmacokineticsPharmacodynamicsPartial thromboplastin timePharmacologyThrombin timeProthrombin timeDirect thrombin inhibitorAnesthesiaWarfarinInternal medicineAtrial fibrillationCoagulation
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Dabigatran etexilate (DE) is an oral direct thrombin inhibitor. It is approved for multiple indications in adults. HYPOTHESIS: To investigate the pharmacokinetics (PK) and pharmacodynamics (PD) of dabigatran in adolescents with venous thromboembolism (VTE). METHODS: Patients aged 12-< 18 years, who had completed anticoagulation treatment with low molecular weight heparin or an oral anticoagulant for VTE as required for clinical management, received DE twice daily for 3 days at exploratory doses targeting 1.71 mg/kg for the first dose, followed by 5 doses of 2.14 mg/kg, if there were no safety concerns. Blood samples for PK/PD purposes were taken at peak (2 h after morning dose) and trough (12 h after the evening dose). Observed plasma concentrations of total dabigatran were compared to simulated concentrations based on a population-pharmacokinetic (PopPK) model. The PK/PD relationships between total dabigatran plasma concentrations and activated partial thromboplastin (aPTT), diluted thrombi...

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.042
GPT teacher head0.383
Teacher spread0.341 · 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 designNon-randomized 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

Citations1
Published2014
Admission routes1
Has abstractyes

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