Variation in the Management of Hospitalized Children With Orbital Cellulitis Over 10 Years
Bibliographic record
Abstract
OBJECTIVES: No previous study has examined the management of hospitalized children with orbital cellulitis at both children's and community hospitals across multiple sites in Canada. We describe variation and trends over time in diagnostic testing and imaging, adjunctive agents, empiric antibiotics, and surgical intervention in children hospitalized with orbital cellulitis. PATIENTS AND METHODS: Multicenter cohort study of 1579 children aged 2 months to 18 years with orbital cellulitis infections admitted to 10 hospitals from 2009 to 2018. We assessed hospital-level variation in the use of diagnostic tests, imaging, antibiotics, adjunctive agents, surgical intervention, and clinical outcomes using X2, Mann-Whitney U, and Kruskal-Wallis tests. The association between clinical management and length of stay was evaluated with median regression analysis with hospital as a fixed effect. RESULTS: There were significant differences between children's hospitals in usage of C-reactive protein tests (P < .001), computed tomography scans (P = .004), MRI scans (P = .003), intranasal decongestants (P < .001), intranasal corticosteroids (P < .001), intranasal saline spray (P < .001), and systemic corticosteroids (P < .001). Children's hospital patients had significantly longer length of hospital stay compared with community hospitals (P = .001). After adjustment, diagnostic testing, imaging, and subspecialty consults were associated with longer median length of hospital stay at children's hospitals. From 2009 to 2018, C-reactive protein test usage increased from 28.8% to 73.5% (P < .001), whereas erythrocyte sedimentation rate decreased from 31.5% to 14.1% (P < .001). CONCLUSIONS: There was significant variation in diagnostic test usage and treatments, and increases in test usage and medical intervention rates over time despite minimal changes in surgical interventions and length of stay.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".