Bibliographic record
Abstract
OBJECTIVES: The administration of 1 to 2 doses of intravenous (IV) antibiotics in the emergency department (ED) followed by discharge on oral antibiotics has become a treatment option for children with cellulitis, despite an absence of evidence supporting this practice. The objective of this study was to determine the failure rate of ED short-course IV antibiotic therapy (IV-short course). METHODS: This retrospective study included children aged 0 to 18 years diagnosed with cellulitis in a pediatric ED during the 2005 calendar year. Treatment was categorized as (a) discharge on outpatient oral antibiotics, (b) IV-short course, or (c) admission for IV antibiotics (IV-admit). Failure was defined by a subsequent visit less than 7 days since the index visit with a change in antibiotic treatment, the administration of IV antibiotics, or hospitalization. A second data abstractor reviewed 10% of the charts to allow calculation of interobserver scores. RESULTS: There were 321 eligible children, of whom 154 children were treated with oral antibiotics, 85 IV-short course, and 82 IV-admit. A total of 23 patients (7%) met criteria for failure. Compared with IV-admit, the odds ratio of failure among those who received IV-short course was 7.2 (95% confidence interval [CI], 1.6-33.1). Those who received IV-short course were more likely to revisit within 7 days than were children treated with oral antibiotics alone (risk ratio, 2.4; 95% CI, 1.2-4.7); however, revisits were no more frequent than among children in the IV-admit group (risk ratio, 2.8; 95% CI, 0.65-12.1). The total mean duration of hospital stay was significantly less in the IV-short course group compared with the IV-admit group (14.9 vs 118.6 hours; P < 0.001). CONCLUSIONS: Children with cellulitis frequently receive IV antibiotics. Short-course IV antibiotic therapy is associated with a high failure rate and prolonged ED stay compared with those in children treated with oral antibiotics alone. However, their clinical similarity to the IV-admit group, shorter length of hospital stay, but high failure rate mandates further evaluation before widespread adoption.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".