Prevalence of current, 12-month and lifetime major depressive disorder among patients with systemic sclerosis
Bibliographic record
Abstract
OBJECTIVES: Patients with SSc experience a range of problems affecting their quality of life, but only one small study has assessed the prevalence of major depressive disorder (MDD) in SSc. The objectives of this study were: (i) to assess the prevalence of current (30-day), 12-month and lifetime MDD in a large sample of Canadian SSc patients; and (ii) to investigate socio-demographic and disease factors associated with 12-month MDD. METHODS: SSc patients were recruited from seven Canadian Scleroderma Research Group Registry sites (April 2009 to May 2012). MDD and history of a prior depression episode (major or minor) were assessed with the Composite International Diagnostic Interview. RESULTS: Among 345 patients, prevalence of 30-day, 12-month and lifetime MDD was 3.8% (95% CI 2.2%, 6.3%; n = 13), 10.7% (95% CI 7.9%, 14.4%; n = 37) and 22.9% (95% CI 18.8%, 27.6%; n = 79), respectively. Patients with 12-month MDD had more severe gastrointestinal track involvement than patients without 12-month MDD, but there were no other significant differences on socio-demographic or disease variables. Among patients with 12-month MDD, 81.1% (95% CI 65.8%, 90.3%) reported a prior depression episode compared with 3.9% (95% CI 2.2%, 6.7%) among patients without 12-month MDD (P < 0.01). CONCLUSION: The prevalence of 30-day, 12-month and lifetime MDD among Canadian SSc patients is approximately twice that of the Canadian general population and somewhat higher than in arthritis. SSc patients face a range of psychosocial problems and may benefit from a broad supportive care approach.
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 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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".