Effects of Childhood-onset Systemic Lupus Erythematosus on Academic Achievements and Employment in Adult Life
Bibliographic record
Abstract
OBJECTIVE: Long-term outcome data in adults with childhood-onset systemic lupus erythematosus (cSLE) are limited. Here, we report the effects of cSLE on education, vocation, and employment in a large cohort of adults with cSLE. METHODS: Patients were seen for a single study visit comprising a structured history and physical examination. Medical records were retrieved to supplement information obtained during the study visit. Education and employment status were assessed by questionnaires. Health-related quality of life (HRQOL) was measured with the 36-Item Short Form Health Survey (SF-36). RESULTS: One hundred six patients with cSLE (93% female, 73% White), with a median disease duration of 20 years, completed the visit and questionnaires. Almost all patients stated that cSLE had influenced their education, but the level of completed education was similar to the general Dutch population. Half of the patients had adjusted their vocational choice due to the disease. Still, 44% of patients who had finished education did not have a paid job. Of the employed patients, 61% worked part time. Disease damage was equally prevalent in patients with and without paid employment. A high percentage of patients (51%) were declared work disabled, due to disease damage. Patients who did not have paid employment were often work disabled. Both had a negative effect on HRQOL. CONCLUSION: The effect of cSLE on academic achievements and employment is substantial, despite patients adjusting their educational and vocational choices. To optimize participation in the community, ongoing support is necessary, not only to help patients find suitable education and vocations but also to offer guidance regarding potential adjustments during their career.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".