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Record W2033411237 · doi:10.1097/bor.0000000000000013

Childhood antineutrophil cytoplasmic antibodies associated vasculitides

2013· review· en· W2033411237 on OpenAlexaff
Marinka Twilt, Susanne M. Benseler

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2013
Typereview
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsMedicineAnti-neutrophil cytoplasmic antibodyVasculitisClinical trialDiseaseImmunologyIntensive care medicinePediatricsPathology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review is to discuss the most recent published literature in childhood antineutrophil cytoplasmic antibodies (ANCA) associated vasculitides and to identify the important issues arisen in the adult literature. This review will discuss the literature on new treatment regimens and outcome measurements. RECENT FINDINGS: Antineutrophil cytoplasmic antibodies are a hallmark of ANCA-associated vasculitides and are likely to be integral to the pathogenesis and have recently become a therapeutic target. In paediatrics, international collaborations have led to the development of childhood classification criteria, advanced understanding of the clinical phenotypes of childhood ANCA-associated vasculitides and improved our ability to capture disease severity, activity and damage. Treatment safety and efficacy data are mainly derived from adult studies and there is a lack of specific paediatric data. There are small case series on the efficacy of adult regimens in paediatric patients. SUMMARY: International multicentre studies are necessary for the evaluation of efficacy and safety of adult-derived treatment regimens in childhood ANCA-associated vasculitides. Specific childhood outcome measurements are recently developed for research purposes and enhance clinical care.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.361
Teacher spread0.302 · 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 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

Citations9
Published2013
Admission routes1
Has abstractyes

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