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Record W4409181143 · doi:10.1002/pbc.31691

Rapid Enoxaparin Adjustment for Childhood Thrombosis/Thromboprophylaxis

2025· article· en· W4409181143 on OpenAlexaff
Joel Livingston, Leanne Meakins, Aisha Bruce, David Stammers, Catherine Corriveau‐Bourque, Anna Serebrin, Kerry LM Wong, Mary Bauman

Bibliographic record

VenuePediatric Blood & Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsStollery Children's HospitalWomen and Children’s Health Research InstituteUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsMedicineDosingThrombosisPediatricsTherapeutic indexSurgeryInternal medicineDrugPharmacology

Abstract

fetched live from OpenAlex

Enoxaparin dosing in children is imperfect and strategies to optimize initial therapy for patients at high-thrombotic risk would be of clinical benefit. This study looked at using peak-post-first-enoxaparin-dose anti-Xa to guide subsequent enoxaparin dose and timing of administration in children deemed high-thrombotic risk. Fourteen patients (seven aged <3 months, seven children/adolescents) were identified and reviewed retrospectively. All patients were commenced on a therapeutic enoxaparin dose within ≤20 h with average time to therapeutic anti-Xa of 15.4 h (range 4-34 h) for neonates/infants and 10.8 h (range 4-24 h) for children/adolescents. No patient had supratherapeutic anti-Xa or thrombotic/bleeding events. Further studies are needed to validate this approach.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.302
Teacher spread0.278 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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