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Record W2089098888 · doi:10.1002/pbc.21710

Respiratory syncytial virus infections in children with acute myeloid leukemia: A report from the Children's Oncology Group

2008· article· en· W2089098888 on OpenAlexaff
Lillian Sung, Todd A. Alonzo, Robert B. Gerbing, Richard Aplenc, Beverly J. Lange, William G. Woods, James H. Feusner, Janet Franklin, Maria J. Patterson, Alan S. Gamis

Bibliographic record

VenuePediatric Blood & Cancer · 2008
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Cancer Institute
KeywordsMedicineVirusMyeloid leukemiaBlood cancerMyeloidPediatric cancerLeukemiaRespiratory systemPediatric oncologyPediatricsInternal medicineImmunologyCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Morbidity and mortality related to respiratory syncytial virus (RSV) in pediatric acute myeloid leukemia (AML) is not known. PROCEDURE: We combined data from three Children's Oncology Group AML studies and determined the prevalence of RSV infection and RSV-related mortality in children treated for de novo AML. RESULTS: We found that the prevalence of RSV infection ranged from 0% to 1% in induction and between 0.3 and 2.2% in consolidation. Four children died from RSV resulting in RSV-specific mortality of 0.2% among all children. However, the risk of RSV-related mortality among RSV infection episodes was high (4/40, 10%). CONCLUSIONS: RSV infections and deaths are rare in pediatric AML.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.319
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), 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

Citations32
Published2008
Admission routes1
Has abstractyes

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