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Record W2072446401 · doi:10.1002/pbc.20133

Health status of young children during therapy for advanced neuroblastoma

2004· article· en· W2072446401 on OpenAlexaff
Paul C. Nathan, William Furlong, Sonja De Pauw, John Horsman, Cors van Schaik, Martha Rolland, Sheila Weitzman, David Feeny, Ronald D. Barr

Bibliographic record

VenuePediatric Blood & Cancer · 2004
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsInstitute of Health EconomicsUniversity of AlbertaUtilities Kingston (Canada)Hamilton Health SciencesUniversity of TorontoSickKids FoundationHospital for Sick ChildrenMcMaster Children's HospitalMcMaster University
Fundersnot available
KeywordsMedicineNeuroblastomaPediatricsYoung adultProxy (statistics)Physical therapyGerontology

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to describe the health status experienced by young children during various phases of therapy for advanced neuroblastoma. METHODS: Nineteen patients aged 2.00-4.99 years at the time of diagnosis of neuroblastoma (stages 3 or 4) who received active therapy between 1996 and 2000 were enrolled on the study. Their parents provided proxy assessments of their health status at a maximum of 10 assessment points during therapy using the Comprehensive Health Status Classification System for Pre-school Children (CHSCS-PS), which assesses level of function on 10 separate health domains. RESULTS: Eighty-six assessment questionnaires were completed. Maximum morbidity was reported immediately following diagnosis and in the 2-3 weeks following bone marrow transplantation. The greatest morbidity was observed in the pain, self-care, mobility, and emotion domains. CONCLUSIONS: In addition to facing a high risk of mortality, young children being treated for advanced neuroblastoma also experience considerable morbidity.

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)0.002
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.311
Teacher spread0.300 · 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

Citations13
Published2004
Admission routes1
Has abstractyes

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