The Risk of Deep Venous Thrombosis and Pulmonary Embolism in Primary Sjögren Syndrome: A General Population-based Study
Bibliographic record
Abstract
OBJECTIVE: To estimate the future risk and time trends of venous thromboembolism (VTE) in individuals with newly diagnosed primary Sjögren syndrome (pSS) in the general population. METHODS: Using a population database that includes all residents of British Columbia, Canada, we created a study cohort of all patients with incident SS and up to 10 controls from the general population matched for age, sex, and entry time. We compared incidence rates (IR) of pulmonary embolism (PE), deep vein thrombosis (DVT), and VTE between the 2 groups according to SS disease duration. We calculated HR, adjusting for confounders. RESULTS: Among 1175 incident pSS cases (mean age 56.7 yrs, 87.6% women), the IR of PE, DVT, and VTE were 3.9, 2.8, and 5.2 per 1000 person-years (PY), respectively; the corresponding rates in the comparison cohort were 0.9, 0.8, and 1.4 per 1000 PY. Compared with non-SS individuals, the multivariable HR for PE, DVT, and VTE among SS cases were 4.07 (95% CI 2.04-8.09), 2.80 (95% CI 1.27-6.17), and 2.92 (95% CI 1.66-5.16), respectively. The HR matched for age, sex, and entry time for VTE, PE, and DVT were highest during the first year after SS diagnosis (8.29, 95% CI 2.57-26.77; 4.72, 95% CI 1.13-19.73; and 7.34, 95% CI 2.80-19.25, respectively). CONCLUSION: These findings provide population-based evidence that patients with pSS have a substantially increased risk of VTE, especially within the first year after SS diagnosis. Further research into the involvement of monitoring and prevention of VTE in SS may be warranted.
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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 | 0.000 |
| 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".