Evaluation of Six Risk Factors for the Development of Bacteremia in Children with Cancer and Febrile Neutropenia
Bibliographic record
Abstract
Febrile neutropenia is a well-known entity in children with cancer, being responsible for the high risk for infection that characterizes this population. For this reason, cancer patients are hospitalized so that they can receive prophylactic care. Risk factors have been used to classify patients at a high risk for developing bacteremia. The present study evaluates whether those risk factors (C-reactive protein, hypotension, leukemia as the cancer type, thrombocytopenia, recent chemotherapy, and acute malnutrition) apply to patients at the Unidad Nacional de Oncología Pediátrica. We evaluated 102 episodes in 88 patients, in whom risk factors and blood cultures were tested. We observed no statistical relationship between the six risk factors and bacteremia. There was also no relationship between bacteremia and the simultaneous presence of two, three, or more risk factors. A significant relationship of C-reactive protein and platelet count with other outcome factors was observed.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".