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Early predictors of poor functional outcome in systemic-onset juvenile rheumatoid arthritis: A multicenter cohort study

2000· article· en· W2050914247 on OpenAlexaffabout
Lynn Spiegel, Rayfel Schneider, Bianca Lang, Nina Birdi, Earl D. Silverman, Ronald M. Laxer, Derek Stephens, Brian M. Feldman

Bibliographic record

VenueArthritis & Rheumatism · 2000
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsChildren's Hospital of Eastern OntarioIzaak Walton Killam Health CentreHospital for Sick ChildrenSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsMedicineJuvenile rheumatoid arthritisCohortPediatricsCohort studySystemic diseaseArthritisInternal medicineDiseaseSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the ability of a previously described set of criteria to predict poor functional outcome in a large, multicenter cohort of children with systemic-onset juvenile rheumatoid arthritis (JRA). METHODS: All children who were diagnosed with systemic-onset JRA since 1980 at the Hospital for Sick Children (Toronto), since 1983 at the Isaac Walton Killam Hospital for Children (Halifax), and since 1981 at the Children's Hospital of Eastern Ontario (Ottawa) were evaluated. Patients were included in the study if they had been evaluated clinically within 6 months of diagnosis and had been followed up for at least 2 years. Patients were divided into 4 cohorts according to their length of followup: 2-4 years, 4-7 years, 7-10 years, and >10 years. Using previously described criteria for destructive arthritis in children with systemic-onset JRA, the patients were classified as either high risk or low risk for poor functional outcome based on the data from their 6-month visit. High-risk patients had active systemic disease (persistent fever or corticosteroid requirement for control of systemic disease) and a platelet count > or =600 x 10(9)/liter. Poor outcome was defined as moderate or severe disability (defined as a score of > or =0.75 on the Childhood Health Assessment Questionnaire) or disease-associated death. RESULTS: Among 122 eligible patients with systemic-onset JRA, we were able to contact 111 (91%) for outcome data. The mean followup period was 7.7 years (SD 3.7). The mean age at outcome assessment was 13.5 years (SD 5.3). There were 51 boys and 60 girls. Twenty-four patients (22%) had moderate-to-severe disability and 2 patients died; these 26 patients were considered to have had a poor outcome. We could determine risk classification for 104 patients. Twenty-four patients (23%) met the criteria for high risk at the 6-month visit. Overall, the risk of a poor functional outcome was significantly higher in the high-risk group (relative risk 3.3, 95% confidence interval [95% CI] 1.73-6.43, P = 0.0004). This risk was most marked in the cohort with > 10 years of followup (relative risk 4.3, 95% CI 1.82-10.29, P = 0.006). CONCLUSION: The presence of active systemic disease at 6 months, as characterized by fever or the need for corticosteroids, and thrombocytosis strongly predicted the development of a poor functional outcome in these patients. This was especially apparent with longterm followup. Our study validates the previously developed prognostic criteria for systemic-onset JRA.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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 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

Citations153
Published2000
Admission routes2
Has abstractyes

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