Depressive symptoms are prevalent in childhood-onset systemic lupus erythematosus (cSLE)
Bibliographic record
Abstract
BACKGROUND: Depressive symptoms are common in adolescence and young adulthood; however, their prevalence in childhood-onset systemic lupus erythematosus (cSLE) is unknown. OBJECTIVE: The objective of this study was to examine the prevalence of depressive symptoms and their association with disease characteristics in children, adolescents, and young adults with cSLE. METHODS: A cross-sectional sample of patients with cSLE between 10 to 24 years old completed standardized depression inventories. Demographics and disease characteristics were collected. RESULTS: Total depression inventory scores reported were below standard cut-off values for depression. However, 26% (10/38) of children and adolescents, and 44% (seven of 16) of young adults had scores at or above established cut-offs for elevated depression symptoms. Physical symptoms of depression were endorsed most frequently. There were no differences in depressive symptoms by disease characteristics including disease duration, health-related quality of life inventory scores, antiphospholipid antibody status, and a history of renal involvement or neuropsychiatric SLE (NPSLE). However, two patients had a history of depression as an NPSLE manifestation of their SLE. In the children and adolescents, prednisone dose was associated with negative self-esteem (r = 0.37, p = 0.04) and somatic depressive symptoms (r = 0.39, p = 0.02), but we did not observe a significant association in the young adults. CONCLUSION: Depressive symptoms in cSLE are frequent, although similar to the high prevalence rates in the general population. Physical symptoms are most frequently endorsed. Further study will determine if serial evaluations are recommended for early detection in this at-risk population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".