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Record W4392656401 · doi:10.1002/pbc.30936

Feasibility study of micronutrient status and body mass index of newly diagnosed pediatric oncology patients: Research commentary

2024· article· en· W4392656401 on OpenAlexafffund
Paul Rogers, Jeffrey Cheng, Alecia Lim

Bibliographic record

VenuePediatric Blood & Cancer · 2024
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsBC Children's HospitalUniversity of British Columbia
FundersBC Children's Hospital
KeywordsMicronutrientMedicineBody mass indexMalnutritionMicronutrient deficiencyBody weightSeleniumInternal medicineAdverse effectPediatricsPathology

Abstract

fetched live from OpenAlex

We conducted a feasibility study to evaluate micronutrients and body mass index (BMI). Fat soluble vitamins A, D, E and trace elements copper (Cu), selenium (Se), and zinc (Zn) levels were evaluated. Weight, height, BMI, and Z-scores were recorded. Side effects or specific adverse events were documented. No patient had a Z-score for height, weight, or BMI of less than 2 SD or greater than 2 SD. Ninety percent of patients had one or more micronutrient levels below normal. These results suggest that micronutrient abnormalities are common despite no obvious evidence of malnutrition. Side effects of chemotherapy may be exacerbated by micronutrient depletion.

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)0.007
metaresearch head score (Gemma)0.027
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 score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.422
Teacher spread0.361 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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