Risk of Psychiatric Disorders following Ankylosing Spondylitis: A Nationwide Population-based Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVE: Ankylosing spondylitis (AS) is a common inflammatory rheumatic disease. A higher prevalence of psychiatric comorbidities, including depressive disorder, has been proven in patients with AS. However, a clear temporal causal relationship between AS and psychiatric disorders has not been well established. We performed a nationwide population-based retrospective cohort study to analyze the relationship between AS and the subsequent development of psychiatric disorders, including schizophrenia, bipolar disorder, depressive disorders, anxiety disorders, and sleep disorders. METHODS: We identified subjects who were newly diagnosed with AS between January 1, 2000, and December 31, 2008, in the Taiwan National Health Insurance (NHI) Research Database. A comparison cohort was constructed of patients without AS who were matched according to age and sex. All patients with AS and control patients were observed until diagnosed with psychiatric disorders, or until death or withdrawal from the NHI system, or until December 31, 2009. RESULTS: The AS cohort consisted of 2331 patients and the comparison cohort consisted of 9324 matched control patients without AS. The adjusted HR for depressive disorders, anxiety disorders, and sleep disorders in subjects with AS were higher than those of the controls during followup (HR 1.718, 95% CI 1.303-2.265; HR 1.848, 95% CI 1.369-2.494; and HR 1.494, 95% CI 1.031-2.162, respectively). CONCLUSION: AS might increase the risk of a subsequent newly diagnosed depressive disorder, anxiety disorder, or sleep disorder, but not schizophrenia or bipolar disorder. These observations highlight the need for psychiatric evaluation and intervention for patients with AS.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".