Risk of Psychiatric Disorders Following Primary Sjögren Syndrome: A Nationwide Population-based Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVE: Primary Sjögren syndrome (pSS) is a chronic autoimmune disease. A clear temporal causal relationship between pSS and psychiatric disorders has not been well established. We used a nationwide population-based retrospective cohort study to explore the relationship between pSS and the subsequent development of psychiatric disorders. METHODS: We identified subjects who were newly diagnosed with pSS between January 1, 2000, and December 31, 2008, in the Taiwan National Health Insurance (NHI) Research Database. A comparison cohort was constructed for patients without pSS. There were 2686 patients with pSS and 10,744 matched controls observed until diagnosed with psychiatric disorders or until death, withdrawal from the NHI system, or December 31, 2009. The Institutional Review Board of Taipei Veterans General Hospital approved this study (2012-12-013BC). RESULTS: The adjusted HR of depressive disorder, anxiety disorder, and sleep disorder in subjects with pSS were significantly higher at 1.829, 1.856, and 1.967 than those of the controls during the followup. We found that pSS might increase the risk of subsequent newly diagnosed depressive disorder, anxiety disorder, and sleep disorder that may impair life quality. CONCLUSION: Our findings highlight the need for psychiatric evaluation and intervention for patients with pSS.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".