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Record W161672208 · doi:10.1093/pch/17.9.e98

Nutritional differences in neurologically impaired children

2012· article· en· W161672208 on OpenAlexaff
Christina Vadeboncoeur

Bibliographic record

VenuePaediatrics & Child Health · 2012
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsShriners Hospitals for Children - CanadaChildren's Hospital of Eastern OntarioQueen's University
Fundersnot available
KeywordsMedicinePercentileGrowth chartAnthropometryBody mass indexObservational studyPediatricsBody weightPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine whether the recommended nutritional intake of moderately to severely neurologically impaired children is congruent with current growth parameter expectations. METHODS: Observational cross-sectional study at a children's hospice and a tertiary care children's hospital. Medically stable enterally fed children followed by the palliative care team underwent anthropometric assessment and chart review for diagnosis, intake and medications. Intakes, guidelines and recommendations were compared. RESULTS: Intakes were less than recommended. All children were <50th percentile weight-for-age, with many <3rd percentile. Fourteen of 15 were in higher percentiles for absolute and relative body fat. CONCLUSIONS: Recommended dietary intakes were not achieved by these children. Despite this, measures of body fat indicate adequate intake. Low weight values may reflect diagnosis-related growth stunting or decreased muscle mass and bone density from immobility. The Centers for Disease Control and Prevention (Georgia, USA) weight-for-age and body mass index are not suitable measures of adequate intake in this group of children.

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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.038
GPT teacher head0.309
Teacher spread0.271 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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