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Record W2042079114 · doi:10.1097/bor.0b013e328363e868

An update on childhood-onset systemic lupus erythematosus

2013· review· en· W2042079114 on OpenAlexaff
Julie Barsalou, Deborah M. Levy, Earl D. Silverman

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2013
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsMedicinePediatricsLupus erythematosusDermatologyIntensive care medicineImmunologyAntibody

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This manuscript will provide a review of studies published in the last year examining the major disease manifestations, comorbidities, biomarkers and therapeutic trials involving childhood-onset systemic lupus erythematosus (cSLE) patients. RECENT FINDINGS: Recent multicenter prospective cohort studies supported previous findings that cSLE patients accrue damage early on their disease. Four studies showed that ethnicity altered disease severity and incidence of both cSLE and lupus nephritis. Description of clinical features and response to therapy in a large group of cSLE patients with neuropsychiatric involvement provided useful information on this feature. Advancement in the field of biomarkers was seen but the new biomarkers are not yet ready for clinical use. A randomized placebo-controlled trial of statins to prevent atherosclerosis progression did not meet its primary endpoint but did show a trend in improvement of carotid intima-media thickness, a surrogate marker of atherosclerosis. No other prospective interventional treatment trials designed specifically for cSLE patients were reported in the past year. SUMMARY: There is an urgent need to better characterize the long-term outcome of cSLE patients and identify early on those at risk of a worse outcome. Advances in the field of biologics and small molecules will hopefully allow better targeted therapies of the cSLE population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.007

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 head0.084
GPT teacher head0.407
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations54
Published2013
Admission routes1
Has abstractyes

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