Randomized Placebo-Controlled Trial of Oral Antibiotics in Pediatric Oncology Patients at Low-Risk With Fever and Neutropenia
Bibliographic record
Abstract
PURPOSE: Fever combined with neutropenia in pediatric oncology patients has traditionally been managed in the hospital with broad-spectrum intravenous antibiotics until there is documented neutrophil recovery. Recent evidence has suggested that patients at "low-risk" can be discharged from the hospital before neutrophil recovery. Whether oral antibiotics are required at the time of discharge is not known. PATIENTS AND METHODS: Using a randomized, double-blind, placebo-controlled study design, 73 patients at low-risk with episodes of fever and neutropenia were discharged home while still neutropenic: 37 administered with oral cloxacillin and cefixime and 36 administered with corresponding placebos. Low-risk criteria included: afebrile for more than 24 hours, negative blood culture results at 48 hours, absence of clinical sepsis, cancer in bone marrow remission, and absence of comorbid conditions. RESULTS: Five patients (14%; 95% confidence interval [CI]; 2%-25%) in the antibiotic arm and two patients (6%; 95% CI; 0%-13%) in the placebo arm were readmitted to the hospital with recurrent fever while still neutropenic (P = 0.43). One patient randomized to the placebo arm had a positive blood culture result on readmission, which responded to appropriate intravenous antibiotics. All of the readmissions were uneventful and there were no fatalities. The average cost per episode of fever and neutropenia was $1,821 Canadian dollars with only minimal incremental cost to the antibiotic arm. CONCLUSION: This study supports the discontinuation of antibiotics in pediatric oncology patients at low-risk who still have neutropenia at the time of discharge from the hospital.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".