Management of chemotherapy‐induced febrile neutropenia in pediatric oncology patients: A North American survey of pediatric hematology/oncology and pediatric infectious disease physicians
Bibliographic record
Abstract
BACKGROUND: Chemotherapy-induced febrile neutropenia (FN) is traditionally managed with hospital admission for parenteral antibiotics until neutropenia resolves. Recent studies have explored risk stratification and the safety of managing "low-risk" patients as outpatients. Few studies have directly assessed pediatric provider preferences for managing FN. PROCEDURE: We conducted a survey of practicing US and Canadian pediatric hematology/oncology (PHO) and pediatric infectious disease (PID) physicians to assess their FN management preferences using case scenarios with varying risk profiles. RESULTS: Twenty-one percent (n = 186) of PHO and 32% (n = 123) of PID physicians completed the survey. Overall, both groups of providers agreed regarding which patients with FN could be managed outpatient. For a child with acute lymphoblastic leukemia receiving maintenance chemotherapy with an absolute neutrophil count (ANC) of 400 cells/μl, 35% (n = 66) of PHO and 49% (n = 60) of PID physicians would consider outpatient management (P = 0.02). Of those physicians selecting inpatient management, 41% (n = 49) of PHO and 52% (n = 33) of PID physicians would be willing to discharge the patient without an increase in ANC, if afebrile with a negative blood culture (P = 0.16). For a similar patient with an ANC of 100 cells/μl, only 23% (n = 35) of PHO and 42% (n = 39) of PID physicians would consider discharge without an increase in ANC (P = 0.002). CONCLUSIONS: Despite the lack of established guidelines for low-risk pediatric FN, a significant proportion of North American physicians report willingness to modify traditional management. This reinforces the need for evidence-based low-risk criteria and outpatient management guidelines to optimize consistency of care for these patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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".