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Record W2060824628 · doi:10.1097/bor.0b013e3283635634

An update on inflammatory myositis in children

2013· review· en· W2060824628 on OpenAlexaff
Adam M. Huber, Brian M. Feldman

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2013
Typereview
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsPublic Health OntarioHospital for Sick ChildrenIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsJuvenile dermatomyositisMedicineDermatomyositisMyositisImmunologyCancerIntensive care medicinePathologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Childhood myositis (juvenile idiopathic inflammatory myopathies - JIIMs) is a rare, but important, group of rheumatic diseases. There has been continuing worldwide progress in the understanding of these diseases, and continuing pursuit of better therapies. We review some important contributions from the recent published literature. RECENT FINDINGS: Environmental triggers are present in the majority of children with myositis. Cancer is almost never a cause. Newer findings implicate a host of immunologic aberrations, perhaps driven by type I interferons, in addition to the humoral immunity long associated with juvenile dermatomyositis (JDM). Myositis-specific antibodies, once thought to be rare in JIIM, are now found in a significant minority because of the characterization of new antibodies. Although mortality is low, recent studies highlight the accumulation of tissue damage that occurs in JDM. Biologic therapies have an unclear place in the treatment of JIIM, but new protocols are being studied and may lead to better outcomes. Physical exercise, once controversial, likely has a role to play in treatment. SUMMARY: International work is continuing to expand our knowledge of the JIIM.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.043
GPT teacher head0.374
Teacher spread0.331 · 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.

Study designNot applicable
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

Citations15
Published2013
Admission routes1
Has abstractyes

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