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Record W4223457584 · doi:10.1016/j.autrev.2022.103086

Prevalence and titres of antinuclear antibodies in juvenile idiopathic arthritis: A systematic review and meta-analysis

2022· review· en· W4223457584 on OpenAlex
John Storwick, Amanda C. Brett, Katherine A Buhler, Alex Chin, Heinrike Schmeling, Nicole Johnson, Marvin J. Fritzler, May Y. Choi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAutoimmunity Reviews · 2022
Typereview
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsAnti-nuclear antibodyMedicineUveitisArthritisInternal medicineMeta-analysisImmunologyIndirect immunofluorescenceInclusion and exclusion criteriaAntibodyAutoantibodyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Antinuclear antibodies (ANA) detected in juvenile idiopathic arthritis (JIA) sera are considered to be a biomarker for JIA-related uveitis. There is an unclear consensus on the screening dilutions of ANA as detected by the HEp-2 indirect immunofluorescence assay (IFA) that should be used when predicting the risk of uveitis in JIA. The primary aim of this systematic review and meta-analysis was to summarize the evidence regarding ANA prevalence and performance in JIA and JIA-associated uveitis. METHODS: A search of five databases identified 1766 abstracts, using the search terms juvenile idiopathic arthritis; pediatric; sensitivity or diagnostic; and ANA. Studies that met inclusion/exclusion criteria were analyzed for the proportion of JIA patients with a positive ANA. Forest plots and pooled estimates were generated for the proportion of JIA patients and those with uveitis who were positive for ANA stratified by screening dilution. Study heterogeneity was also assessed. RESULTS: Twenty-eight studies met inclusion criteria yielding 6250 unique patients; 5902 had JIA and 348 were healthy controls or were known to have other autoimmune diseases. The most reported IFA serum screening dilution was ≥1:80, representing 41.9% of patients and this screening dilution had the highest proportion of JIA ANA positivity (41.0%; 95% CI 25.0%-57.0%). ANA screening for JIA uveitis had a sensitivity and specificity of ANA at ≥1:40 of 75% (95% CI 46%-100%) and 66% (95% CI 39%-93%), respectively. There was significant study heterogeneity across both JIA subtypes and ANA titres. CONCLUSIONS: Although there was a large variation of ANA IFA screening dilutions used for investigation of JIA, the most common dilution was 1:80. The current literature has several important deficiencies that are identified in this review requiring additional studies to inform the ANA screening dilutions of clinical value in JIA and JIA-associated uveitis.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0230.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.096
GPT teacher head0.351
Teacher spread0.255 · 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