A pilot study of prophylactic ciprofloxacin during delayed intensification in children with acute lymphoblastic leukemia
Bibliographic record
Abstract
BACKGROUND: We hypothesized that prophylactic administration of an appropriate antibiotic following each delayed intensification (DI) in children with acute lymphoblastic leukemia (ALL) would reduce the episodes of fever and bacteremia associated with neutropenia, and hence reduce both the rate and duration of hospitalization. PROCEDURE: All patients in the study were treated according to a modified Medical Research Council United Kingdom ALL XI (MRC UKALL XI) protocol utilizing three DI courses. Between June and December 2000 patients received prophylactic ciprofloxacin following DI courses. The rates of hospitalization and bacteremias were compared to ALL patients who had received between one and three DI courses prior to June 2000. RESULTS: There were 69 patients who received a total of 194 DIs (controls 130; study group 64). The rate of hospitalization was 90% in the controls and 58% in the study group (P < 0.001). The median hospital stay was 10.1 days for controls and 6.0 for the study group (P < 0.001). Intensive care unit admissions were reduced from 12 to 1.5% (P = 0.02). The overall rate of proven bacteremia was reduced from 22 to 9% (P = 0.028). There were no Gram-negative bacteremias in the study group compared to 10 (7.7%) in the controls (P < 0.001). CONCLUSIONS: Compared to historical controls, patients in this study receiving prophylactic ciprofloxacin had a reduced rate and duration of hospitalization and incidence of Gram-negative bacteremia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".