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Record W2799367414 · doi:10.1093/pch/pxx193

Decision-making around gastrostomy tube feeding in children with neurologic impairment: Engaging effectively with families

2018· article· en· W2799367414 on OpenAlexaff
Sanjay Mahant, Eyal Cohen, Katherine Nelson, Peter Rosenbaum

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsGastrostomyGastrostomy tubeIntervention (counseling)Tube (container)MedicineFeeding tubeIntensive care medicinePsychologyNursingSurgeryEngineering

Abstract

fetched live from OpenAlex

Children with neurologic impairment may not be able to feed safely or sufficiently by mouth to maintain an adequate nutritional state. Gastrostomy tube (G-tube) feeding is an important, often essential, intervention in such situations. However, many parents and families struggle with the decision to proceed with G-tube feeding. This practice point reviews common reasons for decisional conflict in parents and explores key aspects of life with G-tube feeding. A framework for shared decision-making and the International Classification of Functioning, Disability and Health (ICF) approach are highlighted. Practical recommendations for clinicians on engaging with families for decision-making around this life-changing intervention are provided.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.321
Teacher spread0.306 · 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.

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

Citations42
Published2018
Admission routes1
Has abstractyes

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