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Record W2028385221 · doi:10.1177/0148607108316192

The Enteral vs Parenteral Nutrition Debate Revisited

2008· review· en· W2028385221 on OpenAlexfundno aff
Andrew Thomson

Bibliographic record

VenueJournal of Parenteral and Enteral Nutrition · 2008
Typereview
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsnot available
FundersUniversity of TorontoAustralian National University
KeywordsParenteral nutritionIntensive care medicineMedicineClinical nutritionEnteral administrationRelevance (law)Clinical significanceInternal medicine

Abstract

fetched live from OpenAlex

Many trials and several meta-analyses have been devoted to comparing enteral with parenteral nutrition support. In this review, these studies are subjected to critical analysis with particular emphasis on their methodology and clinical relevance. Evidence is produced to suggest that the heterogeneous patient populations of the studies and the rigid approach taken to comparing different nutrition therapies inter alia render their conclusions highly questionable and of very doubtful clinical significance. An alternative approach to nutrition research is suggested in which strategies of nutrition support rather than fixed menus are compared. It is suggested that objective measures of intestinal function be evaluated more fully in patients requiring nonvolitional nutrition support, and these are briefly reviewed. In addition, a more scientific approach to evaluating the physiological effects of nutrition support, including chemical tagging and evaluation of muscle function, is recommended.

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)0.036
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.036
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.003
Bibliometrics0.0030.007
Science and technology studies0.0010.005
Scholarly communication0.0040.007
Open science0.0030.002
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.043
GPT teacher head0.346
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2008
Admission routes1
Has abstractyes

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