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Record W46497072

Enteral nutrition and mucosal immunity: implications for feeding strategies in surgery and trauma.

2004· article· en· W46497072 on OpenAlexaff
David L. Sigalet, Shannon L. Mackenzie, S. Morad Hameed

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineHypermetabolismIntensive care medicineSepsisEnteral administrationMalnutritionParenteral nutritionResuscitationGastrointestinal tractImmunityImmunologySurgeryInternal medicineImmune system
DOInot available

Abstract

fetched live from OpenAlex

Systemic inflammatory responses to severe trauma and surgical illnesses may be partly responsible for numerous complications, including sepsis, multiple organ failure and unregulated hypermetabolism leading to protein-calorie malnutrition. The integrity of the gastrointestinal tract appears to be an important factor in the pathogenesis of the systemic inflammatory response and sepsis. Resuscitation and nutrition support strategies for preserving gut mucosal integrity have therefore been strongly promoted. This review summarizes the scientific rationale for emphasizing enteral nutritional support of surgical patients, discusses some important limitations of enteral feeding and argues for a flexible approach to nutrition support for these complex patients.

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 score0.465
Threshold uncertainty score0.300

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 head0.062
GPT teacher head0.309
Teacher spread0.247 · 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

Citations88
Published2004
Admission routes1
Has abstractyes

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