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Record W2131999673 · doi:10.1155/2013/710365

Vascular Endothelial Cell Function in Catastrophic Antiphospholipid Syndrome: A Case Report and Review of the Literature

2013· article· en· W2131999673 on OpenAlexaff
Bertrand Routy, Thuan Huynh, R. Fraser, Chantal Séguin

Bibliographic record

VenueCase Reports in Hematology · 2013
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineCatastrophic antiphospholipid syndromeAntiphospholipid syndromeRituximabPathophysiologyCardiogenic shockCardiologyInternal medicineImmunologyIntensive care medicineMyocardial infarctionThrombosisAntibody

Abstract

fetched live from OpenAlex

Catastrophic antiphospholipid syndrome (CAPS) is a rare autoimmune condition, which has been associated with a high mortality rate. However, with current management that includes a combination of anticoagulation, glucocorticoid administration, and plasma exchange, mortality rate has declined. Despite survival improvement with new generation immunosuppressive agents, their mechanisms of action are poorly defined, and CAPS is still considered a high-risk complication in patients known with antiphospholipid antibody syndrome. Herein, we present a case of a 79-year-old male who presented with a myocardial infarct and renal failure secondary to CAPS following a splenectomy for immune thrombocytopenia. Regardless of rapid combination of first-line treatment and rituximab therapy, the patient developed lethal cardiogenic shock secondary to mitral valve papillary muscle necrosis. Discussion of the pathophysiology and avenues of future therapies in CAPS are reported.

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: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

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