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[Evidence summary on enteral and parenteral nutrition for adult patients with sepsis].

2025· other· zh· W7119492744 on OpenAlexaboutno aff
Wenjie Ge, Shoujun Zhu, Tingting Guo, Xinyi Zhu

Bibliographic record

VenuePubMed · 2025
Typeother
Languagezh
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsParenteral nutritionEnteral administrationClinical nutritionCritically illMEDLINE

Abstract

fetched live from OpenAlex

OBJECTIVE: To search, evaluate, and summarize the best available evidence regarding enteral and parenteral nutrition support for adult patients with sepsis, in order to provide an evidence-based foundation for the nutritional management of these patients. METHODS: A systematic search was conducted in the following databases and resources for clinical guidelines, clinical decisions, evidence summaries, expert consensus statements, systematic reviews, randomized controlled trials (RCTs), and quasi-experimental studies related to enteral and parenteral nutrition in adult septic patients: the Cochrane Library, UpToDate, the JBI Evidence-Based Healthcare Center Database, BMJ Best Practice, official websites of professional societies including the American College of Critical Care Medicine, the American Society for Parenteral and Enteral Nutrition (ASPEN), the European Society of Intensive Care Medicine, the European Society for Parenteral and Enteral Nutrition (ESPEN), the Chinese Society of Critical Care Medicine, and the Chinese Society for Parenteral and Enteral Nutrition, ScienceDirect, PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Chinese Medical Journal Full-text Database, Chinese Biomedical Literature Service System, Wanfang Data, China National Knowledge Infrastructure, the VIP Chinese Science and Technology Core Journal Database, Guidelines International Network, National Guideline Clearinghouse, Scottish Intercollegiate Guidelines Network, National Institute for Health and Care Excellence, and Registered Nurses' Association of Ontario, and Medlive Guide. The search timeframe was from January 1, 2014, to June 30, 2024. Two researchers with evidence-based research backgrounds independently conducted the literature quality appraisal. Evidence was extracted and summarized from the included literature, incorporating expert opinion. RESULTS: After rigorous screening, 25 high-quality publications were included, comprising 5 clinical guidelines, 1 clinical decision, 2 evidence summaries, 5 expert consensus statements, 5 systematic reviews, 6 RCTs, and 1 quasi-experimental study. Focusing on key aspects of nutritional management (encompassing 7 major themes: nutritional screening and assessment, mode of nutritional support, timing of initiating nutritional support, energy and protein requirements, nutritional components, monitoring tolerance to nutritional support therapy, and complication prevention and management), 33 core recommendations were ultimately formulated and refined. CONCLUSIONS: This study provides evidence-based recommendations for the enteral and parenteral nutrition management in adult patients with sepsis, aiming to enhance the effectiveness of nutritional support and improve patient clinical outcomes.

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)0.005
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0100.008
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.021
GPT teacher head0.231
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 designSystematic review
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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