Bibliographic record
Abstract
OBJECTIVE: To evaluate acute traumatic pain protocols and to suggest optimization by characterizing opioid pharmacokinetics and pharmacodynamics (PK-PD). DATA SOURCES: MEDLINE (1946 to November 2015), EMBASE (1974 to November 2015), International Pharmaceutical Abstracts (1970 to December 2014), and Cochrane Database of Systematic Reviews (2005 to November 2015). KEYWORDS: morphine, hydromorphone, fentanyl, trauma, acute pain, intravenous, opioid, pharmacokinetics, and pharmacodynamics. STUDY SELECTION AND DATA EXTRACTION: Literature characterizing opioid PK-PD was included. Additionally, studies evaluatingoutcomes of opioids for acute severe pain in adult trauma patients were selected. DATA SYNTHESIS: PK-PD literature suggests that morphine exhibits an effect delay of 1.6 to 4.8 hours; however, clinical significance is doubtful. The relative onset of morphine is approximately 6 minutes, and duration, 96 minutes. Morphine 0.1 mg/kg IV then 0.05 mg/kg every 5 minutes achieved pain control in 40% of patients at 10 minutes and 76% at 60 minutes. The effect delay of hydromorphone (orally) is 18 to 38 minutes; its relative onset (IV), 5 minutes; and duration, 120 minutes. Hydromorphone every 15 minutes achieved variable success in clinical trials. The effect delay of fentanyl IV is 16.4 minutes; relative onset, 2 minutes; and duration, 7 minutes. One randomized controlled trial used fentanyl 0.1 µg/kg IV every 5 minutes. CONCLUSIONS: Further integration of opioid PK-PD into acutepain protocols is possible. One opioid should not be deemed more effective but rather titrated to effect. Morphine and hydromorphone can be titrated IV every 5 minutes until adequate pain control. Fentanyl can be titrated every 3 minutes.
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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 | 0.017 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".