Effectiveness of Antibiotic Regimens in Reducing White Blood Cell Count Within Three to Five Days in Febrile Leukocytosis Treated With Ambulatory Therapy
Bibliographic record
Abstract
Background: In the absence of sepsis, patients with fever and leukocytosis in the emergency department (ED) are often treated with ambulatory parenteral antibiotics at the physician's discretion. Identifying effective regimens for reducing white blood cell (WBC) count and improving clinical outcomes may support standardized ED care. Methods: This retrospective cohort included adult ED patients with fever and leukocytosis, but without sepsis, in whom basic investigation revealed no clear source of infection. Patients received one of three regimens: (A) single-day intravenous (IV) ceftriaxone followed by oral cefixime, (B) 3-day IV ceftriaxone followed by oral cefixime, or (C) 3-day IV ceftriaxone plus oral doxycycline from day 1. Demographics, baseline data, and laboratory results were collected. Follow-up assessments included WBC count and clinical improvement. Treatment probabilities were estimated with multinomial logistic regression, and stabilized inverse probability of treatment weighting (IPTW) were applied in weighted quantile regression. Results: (95% CI: -7.0 to -6.2) for regimen A. Differences were not significant (Wald test, P = 0.484), but graphical analysis suggested the steepest decline with regimen C. Conclusion: Though regimen C showed the steepest WBC decline and fewer failures, the study was markedly underpowered (< 10%). Larger multicenter studies are required to confirm these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".