Health-related quality of life assessment in a group of children with juvenile idiopathic arthritis
Bibliographic record
Abstract
Background: JIA is known to affect the physical and social wellbeing and impact scholastic achievement of children. Health-related quality of life (HRQOL) is an important outcome measure in understanding the impact of chronic illness. Objective: We sought to evaluate the HRQOL of a group of children with juvenile idiopathic arthritis (JIA) to uncover their main problems that might prevent them from leading a normal life . Methods: We consecutively enrolled 119 JIA patients who were classified according to the ILAR criteria into 16 cases with oligoarticular (13.4%), 36 with polyarticular (30.3%) and 67 with systemic JIA (56.3%). They were 62 (52.1%) males and 57 (47.9%) females with a mean age of 7.7 years. Patients were evaluated by the Pediatric Quality of Life Inventory TM Version 4.0 (PedsQLTM) questionnaire. Results: Physical and feeling problem scores were negatively correlated to age, age at onset, diagnostic lag and diseases duration. The learning problem score showed negative correlation with age, age at onset and receival of non-steroidal anti-inflammatory drugs (NSAIDs) pointing to the favorable effect of pain control on the quality of life. Also, learning and social problem scores were positively correlated to the diagnostic lag. Total scores showed negative correlation with age and age at onset. Conclusion: JIA has an important impact on the HRQOL and normal development. Pain control is mandatory for reduction of learning problems via the judicious use of NSAIDs and the delay in diagnosis was associated with unfavorable learning and social outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".