MétaCan
Menu
Back to cohort
Record W2044377329 · doi:10.1053/rapm.2002.35163

Epidural blockade suppresses lipolysis during major abdominal surgery☆

2002· article· en· W2044377329 on OpenAlexaff
Ralph Lattermann, Fabrizio De Carli, Thomas Schricker

Bibliographic record

VenueRegional Anesthesia & Pain Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsLipolysisMedicinePerioperativeGlycerolAnesthesiaGlucagonAbdominal surgeryEpidural blockInsulinInternal medicineEndocrinologyAdipose tissueChemistryBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: The purpose of the study was to investigate the effect of thoracic epidural administration of local anesthetic, i.e., epidural block on perioperative lipolysis. METHODS: Fourteen patients undergoing elective colorectal surgery were randomly assigned to receive either general anesthesia combined with epidural block (EDA, n = 7) or general anesthesia alone (control, n = 7). The rates of glycerol appearance (R(a) glycerol), i.e., lipolysis, were assessed by the stable isotope tracer [1,1,2,3,3-(2)H(5)]glycerol before, during, and 2 hours after the operation. Plasma concentrations of metabolic substrates (glycerol, free fatty acids [FFA], lactate) and hormones (insulin, glucagon, cortisol) were also determined. RESULTS: In the EDA group, R(a) glycerol decreased to lower intra- and postoperative values than in the control group (P <.05). Perioperative plasma concentrations of glycerol, FFA, lactate, and insulin remained unaltered with both anesthetic techniques. Intraoperative plasma glucagon and cortisol concentrations were lower in the EDA group than in the control group (P <.05). CONCLUSIONS: Epidural block suppresses lipolysis during and 2 hours after major abdominal surgery without affecting plasma glycerol or FFA concentrations.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.237
Teacher spread0.209 · 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 designNot applicable
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

Citations16
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueRegional Anesthesia & Pain MedicineSame topicEnhanced Recovery After SurgeryFrench-language works237,207