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Record W2078639322 · doi:10.1055/s-2006-931805

Intravenous Immunoglobulin in Antiphospholipid Syndrome and Maternal Floor Infarction When Standard Treatment Fails: A Case Report

2006· review· en· W2078639322 on OpenAlexaff
Phyllis Chang, Debra Millar, Peter Tsang, Kenneth Lim, Edwina Houlihan, Mary D. Stephenson

Bibliographic record

VenueAmerican Journal of Perinatology · 2006
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsB.C. Women's Hospital & Health CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicineAntiphospholipid syndromePregnancyHeparinRefractory (planetary science)ConcomitantIntravenous Immunoglobulin TherapyObstetricsSurgeryPediatricsAntibodyThrombosisImmunology

Abstract

fetched live from OpenAlex

Obstetrical antiphospholipid syndrome (APS) is associated with maternal and fetal morbidity and mortality. Standard treatment with low-dose acetylsalicylic acid and unfractionated heparin has achieved up to a 70 to 80% likelihood of success. Conversely, up to 30% of women with APS will have further pregnancy losses, despite treatment. Intravenous immunoglobulin (IVIG) may be a promising adjuvant when standard treatment fails. We present a case of a 35-year-old woman with obstetrical APS and maternal floor infarction in prior pregnancy losses who continued to have further unsuccessful pregnancies despite standard treatment with acetylsalicylic acid and unfractionated heparin. On an investigational basis, she was prescribed concomitant IVIG and had two subsequent healthy newborns. IVIG appears to be promising in obstetrical patients with APS who are refractory to standard treatment. Prior history of maternal floor infarction may be a prognostic indicator for triple therapy for obstetrical APS.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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 designCase report
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

Citations34
Published2006
Admission routes1
Has abstractyes

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