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Record W2088189329 · doi:10.1191/096120301667789546

Antiaggregant and anticoagulant therapy in systemic lupus erythematosus and Hughes' syndrome

2001· review· en· W2088189329 on OpenAlexaff
Guillermo Ruiz‐Irastorza, Munther A. Khamashta, G R Hughes

Bibliographic record

VenueLupus · 2001
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMedicineAntiphospholipid syndromeLupus anticoagulantAspirinWarfarinAsymptomaticAnticoagulantThrombosisHeparinDermatologyIntensive care medicineInternal medicineAtrial fibrillation

Abstract

fetched live from OpenAlex

Antiaggregant and anticoagulant drugs are essential in the management of the manifestations due to antiphospholipid syndrome (APS) in patients with primary Hughes' syndrome or systemic lupus erythematosus. Coumadin derivatives (warfarin and acenocumarol), heparin and aspirin are used for secondary thromboprophylaxis and treatment of recurrent miscarriage. The available evidence for each indication is reviewed in this paper. There is still debate regarding the optimal intensity of oral anticoagulation, the best drug combination for pregnancy failure in APS and the management of asymptomatic patients with antiphospholipid antibodies.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
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)0.0020.000
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.056
GPT teacher head0.340
Teacher spread0.284 · 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
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

Citations42
Published2001
Admission routes1
Has abstractyes

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