The burden associated with generalized pustular psoriasis: A Canadian population-based study of inpatient care, emergency departments, and hospital- or community-based outpatient clinics
Bibliographic record
Abstract
Background Not much is known about the burden of generalized pustular psoriasis (GPP). Objectives To document the burden of GPP in Canada and to compare it with psoriasis vulgaris (PV). Methods National data were used to identify Canadian adult patients with GPP or PV hospitalized or visiting an emergency department (ED) or hospital-/community-based clinic between April 1, 2007, and March 31, 2020. Analyses of 10-year prevalence and 3-year incidence were conducted. Costs were determined when the most responsible diagnosis (MRD) was GPP or PV (MRD costs) and for all reasons (all-cause costs). Results In the prevalence analysis, 10-year mean (SD) MRD costs were $2393 ($11,410) for patients with GPP and $222 ($1828) for those with PV ( P < .01). In the incidence analysis, patients with GPP had higher 3-year mean (SD) MRD costs ($3477 [$14,979] vs $503 [$2267] for PV; P < .01). Higher all-cause costs were also associated with patients with GPP. Inpatient/ED mortality was higher in the GPP group in our 10-year prevalence (9.2% for patients with GPP vs 7.3% for those with PV; P = .01) and 3-year incidence (5.2% for patients with GPP and 2.1% for those with PV; P = .03) analyses. Limitations Physician and prescription drug data were not available. Conclusion Patients with GPP incurred higher costs and mortality than patients with PV.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".