Southern Alberta Vasculitis Patient Registry: Creation and Utility
Bibliographic record
Abstract
INTRODUCTION Vasculitides encompass a group of rare diseases where inflammation of vessels causes multisystem organ damage. Incidence, currently estimated to be 10-20/million/year, shows an increasing trend in both children and adults [1]. Due to the nature of the disease, patients need ongoing follow-up to prevent relapse, avert organ damage, and control factors associated with increased mortality. However, vasculitides can be difficult to diagnose due to the diversity of presentation and lack of disease-specific diagnostic tools. As with other rare diseases, the limited number of patients impairs recruitment into clinical trials, impedes research, and hinders the generation of evidence-based treatment recommendations and protocols [2]. Moreover, the low patient numbers provide a barrier to obtaining reliable rare disease prevalence statistics and to gaining a clear understanding of the natural history of specific vasculitides. To address some of these limitations, we propose to generate a prospective vasculitis registry for patients in Southern Alberta. This initial registry will serve as a foundation for collaboration with other centres at the provincial, national, and international levels (Figure 1). The establishment of such a registry will create a framework for knowledge translation, discovery, and best practice management. METHODS Recruitment will initially be limited to patients with vasculitis residing in Southern Alberta referred to the Rheumatology division in Calgary through the central triage system. Ethics approval was obtained in May 2012. Patients complete written informed consent at their baseline visit. Upon consenting, the patients are examined yearly by Dr. Aurore Fifi-Mah, a Rheumatologist at the South Health Campus in Calgary, Alberta. Patients also complete yearly clinical case report forms and a Patient Quality of Life form (SF-36). Patient consent also extends to the collection of de-identified sera for storage in the Mitogen Advanced Diagnostics Laboratory in Calgary, Alberta, under the direction of Dr. Fritzler. These sera will be analyzed for the presence of new target antibodies and proteins to enhance understanding of the pathogenesis and prognosis of vasculitis. As this is an observational study, no power calculation is involved. Descriptive analysis will be used to summarize participant characteristics and comorbid conditions. RESULTS The initial project infrastructure has been successfully established. To date, 107 patients have been recruited with the following diagnosis (patient numbers are in brackets): ANCA-associated Vasculitis (12), Behcet’s Disease (7), Connective Tissue Disease (6), CNS Vasculitis (4), Cryoglobulinemia (1), Giant Cell Arteritis (9), IgA Vasculitis (5), Leukoclastic Angiitis (11), Neurosarcoidosis (1), NMDA Receptor Encephalitis (1), Polyarteritis Nodosa (11), Polymyalgia Rheumatica (13), Takayasu’s Arteritis (6), and Vasculitis Associated with Other Disease (20). DISCUSSION AND CONCLUSIONS The establishment of a Southern Alberta Vasculitis Patient Registry addresses the pervasive issues of inaccurate rare disease statistics, inadequate understanding of disease natural history, and limited diagnostic and treatment regimes. Through systematic collection and analysis of data, the registry will create a foundation of knowledge on which to build informed, standardized models of care. Moreover, the additional benefit of serum analysis may permit the discovery of specific biomarkers and prognostic factors to classify and predict the future course of different vasculitis subtypes. This will permit individualized, patient-centred treatment. The extension of this project to include centres provincially, nationally, and internationally would magnify the utility of the initial project. The previous establishment of provincially-based vasculitis research centres through CanVasc expedites project expansion.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".