MétaCan
Menu
Back to cohort

Nutritional Issues in the Management of Advanced Liver Disease

2001· article· en· W2092104902 on OpenAlexaff
Brian Jurewitsch, Young‐In Kim

Bibliographic record

VenueNutrition in Clinical Care · 2001
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineIntensive care medicineMalnutritionMicronutrientLiver diseaseDiseaseHepatotoxinIntervention (counseling)CarnitineCirrhosisToxicityInternal medicinePathology

Abstract

fetched live from OpenAlex

Abstract Patients with advanced liver disease require aggressive management of the protein‐calorie malnutrition associated with the diagnosis. However, toxicity and tolerance thresholds for nutritional intervention are very low. These thresholds are defined largely by the failing liver's metabolic derangements. Attention needs to be given to ensuring optimal amino acid nutriture without precipitating hepatic encephalopathy. Adequate calorie provision is necessary for maximal use of the administered protein. Micronutrient disposition in the chronic liver disease patient is compromised for metals, necessitating monitoring of iron status and possibly that of copper. Vitamin A status also may need to be determined, especially in light of its implicated hepatotoxin status with large cumulative doses. The iatrogenic liver disease induced by long‐term total parenteral nutrition is relatively rare but frequently amenable to refinement of the regimen, in addition to intervention with carnitine supplementation in select cases. The above insights are important in tailoring the nutritional plan and will lead to better patient outcomes in concert with medical intervention.

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 score0.014
Threshold uncertainty score0.202

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 integrity0.0000.000
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 head0.050
GPT teacher head0.398
Teacher spread0.348 · 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

Citations3
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueNutrition in Clinical CareSame topicLiver Disease and TransplantationFrench-language works237,207