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Record W2052511058 · doi:10.3747/co.v17i2.453

Evaluation of Six Risk Factors for the Development of Bacteremia in Children with Cancer and Febrile Neutropenia

2010· article· en· W2052511058 on OpenAlexvenueno aff
Juan E. Corral, Julio Quezada

Bibliographic record

VenueCurrent Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBacteremiaFebrile neutropeniaNeutropeniaInternal medicineCancerC-reactive proteinPediatric cancerIntensive care medicineRisk factorPopulationChemotherapyAntibioticsEnvironmental health

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.093
GPT teacher head0.414
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2010
Admission routes1
Has abstractyes

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