Peripheral opioid receptor blockade increases postoperative morphine demands—A randomized, double-blind, placebo-controlled trial
Bibliographic record
Abstract
Experimental studies suggest that a large proportion of opioid analgesia can be mediated by peripheral opioid receptors. This trial examined the contribution of such receptors to clinical analgesia induced by intravenous morphine. We hypothesized that the selective blockade of peripheral opioid receptors by methylnaltrexone (MNX) would increase the patients' demand for morphine to achieve satisfactory postoperative pain relief. In a double-blind, placebo-controlled, sequential 2-center trial, 50 patients undergoing knee replacement surgery were randomized (1:1) to receive either subcutaneous MNX (0.9 mg/kg) (hospital I: n=14; hospital II: n=11) or saline (hospital I: n=13; hospital II: n=12) at the end of surgery. The primary endpoint was the cumulative amount of intravenous morphine administered during the first 8 hours. Secondary endpoints were pain scores at rest and during movement (by numerical rating scale and McGill Questionnaire), vital signs, adverse side effects, and withdrawal symptoms. After MNX, demands for morphine were strongly (by about 40%) increased (hospital I: 35.31 ± 12.99 mg vs 25.51 ± 7.92 mg, P=0.03; hospital II: 35.42 ± 11.73 mg vs 24.80 ± 7.84 mg, P=0.02; pooled data: P<.001; means ± SD). Secondary endpoints were similar in all groups (P>.05). Thus, a significant proportion of analgesia produced by systemically administered morphine is mediated by peripheral opioid receptors. Drugs that selectively activate such receptors should have the potential to produce powerful clinical pain relief.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".