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Record W2152349110 · doi:10.1177/0148607110378104

Guidelines, Guidelines, Guidelines

2010· review· en· W2152349110 on OpenAlexaffabout
Rupinder Dhaliwal, Sarah Madden, Naomi E. Cahill, Khursheed N. Jeejeebhoy, John Muscedere, Steve McClave, Daren K. Heyland

Bibliographic record

VenueJournal of Parenteral and Enteral Nutrition · 2010
Typereview
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity of AlbertaClinical Evaluation Research UnitUniversity of TorontoQueen's UniversitySt. Michael's HospitalKingston General Hospital
Fundersnot available
KeywordsGuidelineCLARITYMedicineGrading (engineering)Parenteral nutritionMEDLINEEvidence-based medicineProfessional associationFamily medicineAlternative medicineMedical educationIntensive care medicinePublic relationsPolitical sciencePathology

Abstract

fetched live from OpenAlex

Over the past decade, clinical guidelines for nutrition therapy in the critically ill have been developed by different North American societies. To avoid target audience confusion and uncertainty, there is a need to undergo a review of the content of these guidelines. In this review, the authors compared the grading systems, the levels of evidence used, and the content of North American nutrition clinical guidelines. The 3 clinical guidelines that met their search criteria and hence were included in the comparison are the Canadian Clinical Practice Guidelines, the American Dietetics Association's evidence-based guideline for critical illness, and the Society of Critical Care Medicine and American Society of Parenteral and Enteral Nutrition's joint guideline. Through their comparison, the authors have shown that although there are several topics where there is a similar direction of recommendation across the 3 societies/organizations, there are stark contrasts among many of the recommendations. These major differences can be attributed to the admission of different populations, lower levels of evidence or expert opinion into the guideline production process, lack of clarity in the link between the evidence and the recommendation, and lack of uniformity in the reporting of levels of evidence and grades of recommendation. The authors have identified the need for the North American nutrition organizations to harmonize the development of future nutrition guidelines in a timely way, so that they remain current and up-to-date. Furthermore, guideline users need to be aware of the dissimilarities in these guidelines before applying the recommendations to their daily practice.

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)0.012
metaresearch head score (Gemma)0.069
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.069
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0170.012
Science and technology studies0.0020.003
Scholarly communication0.0060.007
Open science0.0050.003
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0280.033

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 head0.185
GPT teacher head0.455
Teacher spread0.270 · 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

Citations28
Published2010
Admission routes2
Has abstractyes

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