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Record W7028122111

The effect of perioperative insulin therapy on patients undergoing major liver resections

2011· dissertation· en· W7028122111 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchKing Saud UniversityMcGill University Health CentreMcGill University
KeywordsPerioperativeInsulinContext (archaeology)Diabetes mellitusGlycogenClinical trialProinflammatory cytokine
DOInot available

Abstract

fetched live from OpenAlex

Tissue injury related to liver surgery stimulates the release of stress hormones and proinflammatory cytokines to produce the necessary elements needed for healing. An exaggerated stress response compounded by preoperative fasting limits the liver's capacity to regenerate by depleting its energy stores. This change in metabolism leads to an insulin resistant state in the patient and associated hyperglycaemia. Dextrose supplementation coupled with intravenous insulin given perioperatively affords superior surgical outcomes through preservation of liver glycogen and strict glycaemia control.The goal of this research was to investigate the benefits of a metabolic support protocol involving carbohydrate loading and insulin infusion provided by a hyperinsulinemic normoglycaemic clamp (HNC), for patients undergoing hepatic resection. Studies were performed in the context of a randomized-controlled clinical trial registered at clinicaltrial.gov NCT00774098. Initially, 5 patients including 1 with diabetes mellitus were given the HNC protocol while undergoing a major hepatectomy. This feasibility study helped fine-tune the protocol towards improving its safety and reproducibility, and prompted expansion and randomization of the trial to include sixty patients. The goal of the expanded trial was to study the benefits of the protocol in augmenting liver glycogen and reducing postoperative complications. The patients were randomly assigned to either intervention or control groups. Intervention patients received a 24-hour oral carbohydrate-load, followed by an IV dextrose infusion (2 mg/kg/min) in the 24 hours leading to surgery, followed by insulin therapy given intra- and postoperatively. Controls adhered to routine management. Blood and tissue samples were taken at various time points for monitoring liver glycogen content and function. In the final stage of the project a subset of patients was selected for genetic expression testing. Blood and liver tissue samples were analyzed to identify specific inflammatory, metabolic and cell cycles pathways stimulated by the protocol.Carbohydrate loading combined with intra- and postoperative use of the HNC protocol augmented liver glycogen and reduced postoperative complications. Diabetic and nondiabetic patients alike benefited from this therapy.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.216
Teacher spread0.200 · 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.

Study designBench or experimental
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

Citations0
Published2011
Admission routes1
Has abstractyes

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