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Record W2040319125 · doi:10.1186/1546-0096-6-s1-p236

Macrophage activation syndrome (MAS) in juvenile systemic lupus erythematosus (JSLE): an underrecognized complication?

2008· article· en· W2040319125 on OpenAlexaff
Aurora Parodi, Sergio Davì, Pringe Ab, Silvia Magni‐Manzoni, Paivi Miettunen, Brigitte Bader‐Meunier, Graciela Espada, Seza Özen, Dowain A. Wright, Cláudia Saad Magalhães, Patricia Woo, Raju Kubchandani, Alexei A. Grom, H. Michels, Carine Wouters, CE Toro Gutierrez, Gary Sterba, Kristen Hayward, Dinara Guseinova, Aryeh Fischer, Elisabetta Cortis, Marina Vivarelli, Angela Pistorio, Nicolino Ruperto, I Sala, Alberto Martini, Angelo Ravelli

Bibliographic record

VenuePediatric Rheumatology · 2008
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMacrophage activation syndromeMedicineJuvenileRheumatologyComplicationPresentation (obstetrics)Systemic lupusSystemic lupus erythematosusInternal medicineImmunologyDermatologySurgeryArthritis

Abstract

fetched live from OpenAlex

To define the characteristics of MAS complicating JSLE. Patients with JSLE and MAS were collected from: 1) Gaslini Institute of Genoa, Italy; 2) PRINTO and PRCSG investigators; 3) literature. Control groups of JSLE without MAS included 33 patients with active lupus seen at Gaslini Institute (SLE-GI) and 387 patients from a multinational study of damage in JSLE (SLE-MS). Clinical and laboratory features of MAS with (BM+) or without (BM-) bone marrow demonstration of haemophagocytosis were contrasted each other and with those of lupus without MAS. 20 BM+ and 18 BM-patients with JSLE-associated MAS were identified. Comparison of percentage frequency of the main clinical and laboratory features of MAS in patient groups is shown in table 1 . Features of MAS in patients with or without BM haemophagocytosis were comparable, except for a greater frequency of leukopenia in BM+ patients. This suggests that this complication is more common than previously realized. All features but leukopenia and fever discriminated well between MAS and active lupus without MAS.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.026
GPT teacher head0.286
Teacher spread0.260 · 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 teacher head, 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

Citations0
Published2008
Admission routes1
Has abstractyes

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