Hospitalizations for Cellulitis in Canada: A Database Study
Bibliographic record
Abstract
BACKGROUND: Cellulitis is the skin disease most commonly responsible for emergency department visits and inpatient admissions. OBJECTIVE: To determine factors associated with prolonged admissions and mortality in inpatients with cellulitis. METHODS: Data on patients with an admission diagnosis of cellulitis from 2004 to 2008 in the Canadian Discharge Abstract Database were analyzed. Factors associated with mortality and prolonged hospital stay (> 7 days) were analyzed in univariate and multivariate analysis through logistic regression. RESULTS: During the study period, 65,454 patients were hospitalized for cellulitis. Factors associated with prolonged admission included admission to or consultation by a surgical service (OR 2.30, 95% CI 2.17-2.43) and dermatology consultation (OR 4.50, 95% CI 3.92-5.17). Factors associated with mortality included surgical (OR 1.35, 95% CI 1.03-1.76) or infectious disease (OR 1.75, 95% CI 1.39-2.21) consultation. CONCLUSION: Misdiagnosis of cellulitis, suggested by the use of consulting services, may play a role in the morbidity and mortality of cellulitis patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 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".