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Record W2129733011 · doi:10.1136/ebm.2011.100252

Early supplemental parenteral nutrition in critically ill adults increased infections, ICU length of stay and cost

2011· letter· en· W2129733011 on OpenAlexaff
Daren K. Heyland

Bibliographic record

VenueEvidence-Based Medicine · 2011
Typeletter
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsMedicineWeb of scienceParenteral nutritionPediatricsInternal medicineAdverse effectGastroenterologyGynecologyMeta-analysis

Abstract

fetched live from OpenAlex

Commentary on: Casaer MP, Mesotten D, Hermans G, et al. Early versus late parenteral nutrition in critically ill adults. N Engl J Med 2011;365:506–17.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Historically, there has been considerable controversy regarding the timing of supplemental parenteral nutrition (PN) in the critical care setting. Guideline recommendations range from continued underfeeding with enteral nutrition (EN) alone for up to 7–10 days1 to the addition of supplemental PN within 24–48 h in patients who are expected to be intolerant to EN within 72 h of admission.2 Proponents of early supplemental PN have focused on data demonstrating that the cumulative energy deficit or caloric debt is associated with adverse clinical outcomes while opponents cite the literature demonstrating increased adverse events in patients who receive PN during their intensive care unit … [1]: {openurl}?query=rft.jtitle%253DNew%2BEngland%2BJournal%2Bof%2BMedicine%26rft.stitle%253DNEJM%26rft.issn%253D0028-4793%26rft.aulast%253DCasaer%26rft.auinit1%253DM.%2BP.%26rft.volume%253D365%26rft.issue%253D6%26rft.spage%253D506%26rft.epage%253D517%26rft.atitle%253DEarly%2Bversus%2Blate%2Bparenteral%2Bnutrition%2Bin%2Bcritically%2Bill%2Badults.%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa1102662%26rft_id%253Dinfo%253Apmid%252F21714640%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1056/NEJMoa1102662&link_type=DOI [3]: /lookup/external-ref?access_num=21714640&link_type=MED&atom=%2Febmed%2F17%2F3%2F86.atom [4]: /lookup/external-ref?access_num=000293732100006&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Other designhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.030
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.039
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0150.011
Insufficient payload (model declined to judge)0.0260.007

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 head0.044
GPT teacher head0.324
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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Other design
Domainnot available
GenreEmpirical · Commentary

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

Citations10
Published2011
Admission routes1
Has abstractyes

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