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Record W1994977638 · doi:10.4103/0019-5049.65365

Parenteral nutrition: Few more facts

2010· article· en· W1994977638 on OpenAlexaboutno aff
Vijaya Pant, Jyotirmoy Das

Bibliographic record

VenueIndian Journal of Anaesthesia · 2010
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineParenteral nutritionIntensive care medicine

Abstract

fetched live from OpenAlex

Sir, It was a pleasure reading the review article on parenteral nutrition (PN).[1] We congratulate the authors for their endeavor in making the topic so interesting. However, we feel that a couple of points need further discussion. As per the guidelines for the provision and assessment of nutrition support therapy in adult critically ill patient set by the Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N), 2009, serum protein markers (albumin, prealbumin, transferrin, C-reactive protein) are not recommended for determining adequacy of protein provision.[2] In all ICU patients receiving PN, initial mild ‘permissive underfeeding’ (providing approximately 80% of the total energy requirement) should be considered as it has been proved that excessive energy intake can lead to insulin resistance, greater infectious morbidity, extended mechanical ventilation and increased hospital length of stay. Eventually, as the patient stabilizes, PN may be increased to meet energy requirements.[2] The Canadian Critical Care Clinical Practice Guidelines’2003 states that there are insufficient supportive data to make a recommendation regarding parenteral Selenium supplementation in critically ill patients.[3] This has again been emphasized in the society’s 2009 guidelines. Finally, in patients stabilized on PN, periodically repeated efforts should be made to initiate enteral nutrition (EN).[2] As tolerance improves and the volume of EN calories delivered increases, the amount of PN calories supplied should be reduced. PN should not be terminated, until ≥60% of target energy requirements are being delivered by the enteral route.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.297
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2010
Admission routes1
Has abstractyes

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