The risk and trend of pulmonary embolism and deep vein thrombosis in rheumatoid arthritis: a general population-based study
Bibliographic record
Abstract
OBJECTIVES: To estimate the overall risk of venous thromboembolism (VTE), pulmonary embolism (PE) and deep vein thrombosis (DVT) among patients newly diagnosed with RA compared with the general population without RA; and to estimate the risk trends of VTE, PE and DVT after RA diagnosis up to 5 years compared with the general population. METHODS: Using previously validated RA case definition, we conducted a matched cohort study using the population-based administrative health database from the province of British Columbia, Canada. We calculated incidence rates (IRs) and fully adjusted hazard ratios (HRs) for the risk of VTE, DVT and PE after RA index date. RESULTS: Among 39 142 incident RA patients (66% female, mean age 60), 1432, 543 and 1068 developed VTE, PE and DVT, respectively. IRs for the RA cohort were 3.79, 1.43 and 2.82 per 1000 person-years vs 2.70, 1.03 and 1.94 per 1000 person-years for the non-RA cohort. After adjusting for VTE risk factors, the HRs (95% CI) were 1.28 (1.20, 1.36), 1.25 (1.13, 1.39) and 1.30 (1.21, 1.40) for VTE, PE and DVT, respectively. The fully adjusted HRs for VTE during the first five years after RA diagnosis were 1.60, 1.47, 1.40, 1.30 and 1.28, respectively. A similar trend was shown in PE. CONCLUSION: This population-based study demonstrates that RA patients have an increased risk of VTE, PE and DVT after diagnosis compared with the general population. This risk is independent of traditional VTE risk factors and is highest during the first year after RA diagnosis, then progressively declined.
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".