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Record W2044337217 · doi:10.1097/mog.0b013e3282f4cdd8

Pharmaconutrition: a new emerging paradigm

2008· review· en· W2044337217 on OpenAlexaff
Naomi E. Jones, Daren K. Heyland

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2008
Typereview
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsKingston General HospitalQueen's UniversityClinical Evaluation Research Unit
Fundersnot available
KeywordsIntensive care medicineParenteral nutritionMedicineEnteral administrationGlutamineRandomized controlled trialCritically illSurgeryBiology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This paper highlights recent studies of interest and provides rationale for why deficiencies with the current scientific paradigm of immunonutrition has produced studies with conflicting results, and why it should be replaced with a new paradigm termed 'pharmaconutrition'. RECENT FINDINGS: Considering the overall treatment effect of immune-modulating nutrients, parenteral glutamine is recommended in patients receiving parenteral nutrition, while enteral glutamine should be considered in burn and trauma patients. Antioxidants, particularly selenium, should be considered for critically ill patients, and enteral formulas enriched with fish oils are recommended in patients with acute respiratory distress syndrome. Arginine-supplemented diets are not recommended. There are currently insufficient data to enable useful recommendations on the optimal route, timing, duration and dosage of each nutrient. The pending results of a large, rigorously designed, randomized trial, however, in which nutrients are viewed and tested as pharmacological agents, promise to clarify some of the current ambiguities and inform future practice. SUMMARY: This review provides insights into why the current paradigm of immunonutrition has failed to consistently demonstrate a beneficial effect of key immunomodulating nutrients, and offers a timely solution through the new paradigm of pharmaconutrition.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.606
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.144
GPT teacher head0.440
Teacher spread0.296 · 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 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

Citations137
Published2008
Admission routes1
Has abstractyes

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