The Incidence of Primary Systemic Vasculitis in Jerusalem: A 20-year Hospital-based Retrospective Study
Bibliographic record
Abstract
OBJECTIVE: The incidence of primary systemic vasculitides varies among different geographic regions and ethnic origins. The aim of this study was to examine the incidence rates of vasculitides in the Jerusalem Jewish population, and to examine possible trends in incidence rates over a 20-year period. METHODS: The clinical databases of inpatients at the 2 medical centers in Jerusalem were searched for patients with vasculitis diagnosed between 1990-2009. Individual records were then reviewed by one of the authors. The significance of trends in incidence rates throughout the study period was evaluated by Pearson correlation coefficient. RESULTS: The average annual incidence rate of polyarteritis nodosa was 3.6/million adults (95% CI 1.6-4.7). Incidence rates did not change significantly during this period (r = 0.39, p = 0.088). The incidence of granulomatosis with polyangiitis (GPA) was 4.1 (2.2-5.9) for the whole period, during which it increased significantly (r = 0.53, p < 0.05). The incidence of microscopic polyangiitis (MPA) was lower: 2.3 (1.2-3.5)/million. It also increased significantly (r = 0.55, p < 0.05). The incidence of eosinophilic granulomatosis with polyangiitis was 1.2 (0.4-1.9), which remained stable throughout the study period. The incidence of Takayasu arteritis was 2.1/million (95% CI 1.2-2.9), and it also remained stable. Giant cell arteritis (GCA) incidence was 8.1 (5.7-10.6)/100,000 population aged 50 years or older. In sharp contrast with other vasculitides, its incidence decreased significantly throughout the study period (r = -0.61, p < 0.01). CONCLUSION: The incidence rates of vasculitides in the Jewish population of Jerusalem are in the lower range of global incidence rates. While GPA and MPA incidence are increasing, GCA incidence is decreasing.
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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) | 0.001 | 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".