Cumulative Incidence of Orofacial Manifestations in Early Juvenile Idiopathic Arthritis: A Regional, Three‐Year Cohort Study
Bibliographic record
Abstract
OBJECTIVE: To estimate the cumulative incidence of arthritis-induced orofacial symptoms, dysfunction, and dentofacial deformities in growing individuals with juvenile idiopathic arthritis (JIA) in a 36-month regional cohort study and to identify predictors for the development of arthritis-induced dentofacial deformities. METHODS: Data were retrieved from the Aarhus JIA temporomandibular joint (TMJ) cohort register, which contains standardized, longitudinal, observational data regarding orofacial conditions in patients with JIA (n = 1,040). This regional cohort represents the majority of all subjects with JIA from the western part of Denmark between 1990 and 2016, regardless of TMJ arthritis status. Cumulative incidences of orofacial conditions were reported using Kaplan-Meier methods, and predictors for dentofacial deformity were identified using Cox proportional hazards analysis. RESULTS: Follow-up data from 351 subjects for 36 months were included in this study. Median age at first clinical examination was 6.6 years (interquartile range 4.8-9.9 years). Orofacial symptoms and dysfunctions were common findings at 36 months after the first clinical examination and 5 years after JIA onset, with a cumulative incidence of 38% and 53%, respectively. Dentofacial deformities were found in 35% of subjects at the 36-month follow-up and were significantly associated with the presence of orofacial dysfunction. CONCLUSION: Orofacial conditions were frequently observed in individuals with JIA and were represented in all JIA subcategories in this regional study. One-third of subjects had arthritis-induced dentofacial deformities that required orthopedic appliance treatment at the 36-month follow-up.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".