Randomised controlled trial of the effect of oral premedication with dexamethasone on hyperglycaemic response to abdominal hysterectomy
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: This study was performed to evaluate the metabolic effects of a single oral dose of 8 mg dexamethasone in women undergoing hysterectomy. METHODS: Ninety non-diabetic women undergoing abdominal hysterectomy were randomised to receive 8 mg dexamethasone or placebo 2 h before surgery. Patients' perioperative care was standardised (fasting from midnight before surgery, balanced anaesthesia using propofol, fentanyl, remifentanil, cisatracurium, desflurane in oxygen/air). At five defined time points after drug administration (approximately 2, 4, 6, 10 and 14 h), blood samples were drawn under fasting conditions to measure blood glucose and free (non-esterified) fatty acids (NEFA). Data were analysed using analysis of variance for repeated measures. RESULTS: Data of 82 patients (dexamethasone: 44 and placebo: 38) were eligible for analysis. There was a statistically significant increase in blood glucose in both groups (P = 0.008). This increase was more pronounced in patients receiving dexamethasone (interaction term: P = 0.02) with maximum values at 6 h after surgery (or approximately 10 h after dexamethasone administration). There were 36 patients (placebo: 9 = 24% and dexamethasone: 27 = 61%) presenting with elevated glucose concentrations (>7 mmol l⁻¹) and 11 patients (placebo: 2 = 5% and dexamethasone: 9 = 20%) with hyperglycaemia (>8.5 mmol l⁻¹). There were no statistically significant changes in the plasma concentrations of NEFA during the perioperative period. CONCLUSION: Amounts of dexamethasone frequently used for prophylaxis of post-operative nausea and vomiting can cause short-lasting hyperglycaemia in the post-operative period, but no relevant alterations in fat metabolism. Thus, the benefits of administering corticosteroids should be weighed against the potential side-effects of short-lasting hyperglycaemia.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it