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Record W2099297970 · doi:10.1016/s0020-7292(00)00290-3

Prophylaxis and treatment of thromboembolic diseases during pregnancy with dalteparin

2000· article· en· W2099297970 on OpenAlexaff
Évelyne Rey, GeorgesE. Rivard

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2000
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicinePregnancyTherapeutic indexLow molecular weight heparinHeparinObstetricsAnesthesiaTherapeutic effectProphylactic treatmentDosingDrugInternal medicinePharmacology

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine if a prophylactic dose of dalteparin, 5000 IU daily, and if the adjusted-weight dalteparin therapeutic dose of 100 IU/kg twice daily are appropriate in pregnancy. METHOD: Anti-Xa activity levels were used to assess prophylactic (33 women) and therapeutic (15 women) dalteparin dosage throughout pregnancy. Analysis of variance was used and P-values less than 0.05 were considered statistically significant. RESULTS: In the prophylactic group, anti-Xa activity levels did not vary significantly throughout pregnancy (P=0.15). The initial dalteparin dose was modified on the first anti-Xa activity measurement in eight women, whose weight was statistically different from those remaining on the initial dose (P<0.001). The adjusted-weight therapeutic dalteparin dose induced adequate anti-Xa activity levels. CONCLUSIONS: Dalteparin, 5000 IU daily, is suitable for most pregnant women and does not need to be modified in the third trimester. A therapeutic dalteparin dose adjusted according to pregnancy weight is appropriate.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.273
Teacher spread0.257 · 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 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

Citations42
Published2000
Admission routes1
Has abstractyes

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