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Record W2105159474 · doi:10.1097/mpg.0b013e318235b397

Use of Enteral Nutrition for the Control of Intestinal Inflammation in Pediatric Crohn Disease

2011· article· en· W2105159474 on OpenAlexaff
Jeff Critch, Andrew S. Day, Anthony Otley, Cynthia King‐Moore, Jonathan E. Teitelbaum, Harohalli Shashidhar

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie UniversityJaneway Children's Health and Rehabilitation CentreMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineParenteral nutritionPediatric gastroenterologyGuidelineMedical nutrition therapyIntensive care medicineEnteral administrationDiseaseCrohn's diseaseHepatologyClinical nutritionInternal medicineInflammatory bowel diseaseNutritionistPathology

Abstract

fetched live from OpenAlex

Exclusive enteral nutrition is an effective yet often underused therapy for the induction of remission in pediatric Crohn disease. The North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition formed the Enteral Nutrition Working Group to review the use of enteral nutrition therapy in pediatric Crohn disease. The group was composed of 5 pediatric gastroenterologists and 1 pediatric nutritionist, all with an interest and/or expertise in exclusive enteral nutrition. Specific attention was placed upon review of the evidence for efficacy of therapy, assessment of the variations in care, identification of barriers to its widespread use, and compilation of the necessary components for a successful program. The present guideline is intended to aid physicians in developing an enteral nutrition therapy program and potentially promote its use.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.225
Teacher spread0.210 · 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

Citations191
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Gastroenterology and NutritionSame topicInflammatory Bowel DiseaseFrench-language works237,207