MétaCan
Menu
Back to cohort
Record W2116613581

Leflunomide: new antirheumatic drug. Effect on pregnancy outcomes.

2001· article· en· W2116613581 on OpenAlexaff
Eran Kozer, Myla E. Moretti, G Koren

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsLeflunomideMedicinePregnancyDrugRheumatoid arthritisCholestyramineAntirheumatic drugsDiseasePharmacologyIntensive care medicineAntirheumatic AgentsInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

QUESTION: I am treating a 34-year-old woman with rheumatoid arthritis. She began taking the new drug leflunomide (Arava) 6 months ago and had good clinical response. She is now planning her first pregnancy. What should she do? ANSWER: Leflunomide is a new and effective disease-modifying antirheumatic drug. Animal studies have shown an increased rate of malformations and fetal death in various species, but there are no data on pregnancy outcomes in humans treated with leflunomide. Since the drug has a prolonged and unpredictable elimination half-life, it should be stopped during pregnancy. The manufacturer recommends that patients who wish to become pregnant be treated with cholestyramine, which enhances elimination.

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)0.005
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.028
GPT teacher head0.280
Teacher spread0.252 · 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

Citations9
Published2001
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicPregnancy and Medication ImpactFrench-language works237,207