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Record W4200556287 · doi:10.1002/jpen.2246

Enteral nutrition in septic shock: A pathophysiologic conundrum

2021· review· en· W4200556287 on OpenAlexaff
Jayshil J. Patel, Anuj Shukla, Daren K. Heyland

Bibliographic record

VenueJournal of Parenteral and Enteral Nutrition · 2021
Typereview
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsQueen's University
Fundersnot available
KeywordsSeptic shockMedicineSepsisShock (circulatory)Parenteral nutritionIntensive care medicinePathophysiologyEnteral administrationImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Septic shock is a public health burden and defined as a subset of sepsis whereby abnormalities in microcirculatory and cellular metabolism manifest as acute circulatory failure. At the level of the gut, septic shock impairs epithelial barrier function (EBF), and the gut initiates proinflammatory responses contributing to multiple organ dysfunction syndrome. The timing and dose of enteral nutrition (EN) in septic shock remains a conundrum. On the one hand, early EN preserves EBF. On the other hand, serious gastrointestinal complications such as bowel necrosis may limit EN initiation in septic shock. We (1) describe the pathophysiologic conundrum septic shock poses for EN initiation, (2) outline guideline-based recommendations for EN in septic shock, (3) identify the role of parenteral nutrition in septic shock, and (4) identify and appraise postguideline literature on the timing, dose, and titration of EN in septic shock.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.050
GPT teacher head0.361
Teacher spread0.311 · 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

Citations25
Published2021
Admission routes1
Has abstractyes

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