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Exclusive enteral nutrition for children with Crohn's disease: Use in Australia and attitudes of Australian paediatric gastroenterologists

2009· article· en· W1971590470 on OpenAlexaff
Andrew S. Day, Tracey Stephenson, Michael J. Stewart, Anthony Otley

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCrohn's diseaseParenteral nutritionDiseaseCrohn diseaseIntensive care medicinePediatricsFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

AIM: Although available data support a role for exclusive enteral nutrition (EEN) in children with Crohn's disease (CD), use of this therapy varies. The aim of this study was to define the patterns of use of EEN across Australia and to better understand the reasons for this variation. METHODS: Using an existing email network, Australian paediatric gastroenterologists were asked to provide details of their attitudes towards, and use of, EEN in children. A questionnaire was designed to direct responses, with regard to use of EEN, to current EEN protocols and patterns of use. RESULTS: Twenty-one replies were received (58% response). Although 12 respondents felt that EEN was an appropriate therapy for CD, only 8 regularly used EEN for their patients. Usage varied between states and within units. Current use was related to practitioners' experiences of EEN during their gastroenterology training. The concerns of those who did not recommend EEN included compliance, cost and resource demands. The doctors who recommend EEN reported that family support, team approach and disease location were important factors for a positive outcome from EEN. Current protocols varied in terms of type of formula, length of therapy and use of concurrent medications. CONCLUSIONS: Variations in care were illustrated across these paediatric gastroenterologists. Practitioners have many reasons and concerns about the use of EEN: these impede the wider use of EEN for paediatric CD. More consistent protocols for the use of EEN and an improved understanding of the mechanisms of EEN could lead to enhanced use of this therapy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.001
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.280
Teacher spread0.268 · 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.

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

Citations28
Published2009
Admission routes1
Has abstractyes

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