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Record W4387296132 · doi:10.1002/ncp.11055

Blenderized tube feedings: Practice recommendations from the American Society for Parenteral and Enteral Nutrition

2023· article· en· W4387296132 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNutrition in Clinical Practice · 2023
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsPrevention of Organ FailureUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsParenteral nutritionMedicineEnteral administrationIntensive care medicineClinical PracticeFeeding tubeNursingSurgery

Abstract

fetched live from OpenAlex

Prior to the 1970s, blending food and liquids and putting them through an enteral access device (EAD) was the most common form of enteral nutrition (EN). However, in the 1970s, blenderized tube feedings (BTFs) became less popular due to the emergence of modern commercial enteral formulas (CEFs). Recently, a cultural shift toward consuming a natural diet, consisting of whole foods, has led to a resurgence in the use of BTF. The increasing use of BTF in a variety of patient care settings identifies a need for practice recommendations that provide guidance for nutrition professionals and patients. Members of the American Society for Parental and Enteral Nutrition (ASPEN) Enteral Nutrition Committee identified salient clinical questions concerning BTF, conducted a comprehensive literature search, and subsequently developed practice recommendations pertaining to the use of BTF. This paper was approved by the ASPEN 2022-2023 Board of Directors.

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.

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)0.003
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.415
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.463
Teacher spread0.353 · 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