Propofol for Procedural Sedation in the Emergency Department: A Qualitative Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To evaluate the efficacy and safety of propofol compared to other agents for procedural sedation of adults in the emergency department (ED) and to review the use of opioids in conjunction with propofol for procedural sedation in the ED. DATA SOURCES: PubMed (1949-December 2012) and EMBASE (1980-December 2012) were searched using combinations of the following search terms: (procedural sedation or conscious sedation [MESH]) and propofol. A manual search of references was also performed. STUDY SELECTION AND DATA EXTRACTION: English-language, full reports of randomized controlled trials (RCTs) and observational studies evaluating propofol use in adults undergoing procedural sedation in the ED were included if they reported efficacy or safety outcomes. Two reviewers independently assessed each article for inclusion, data extraction, and study limitations. DATA SYNTHESIS: Thirteen RCTs and 20 observational studies meeting our inclusion criteria were retrieved. Regardless of the agent used for sedation, pro ce du ral success was greater than 80% and most trials demonstrated no statistically significant difference in the incidence of respiratory depression with propofol compared to alternatives. One RCT showed a significantly greater percent decrease in systolic blood pressure from baseline in those who received propofol compared to ketamine. Where reported, no significant difference was found in patient recall, pain, and satisfaction when opioids were added to propofol com pared to propofol alone; the addition of opioids may have resulted in a higher incidence of respiratory adverse events. CONCLUSIONS: Propofol for procedural sedation is a reasonable alternative for use in the ED, with comparative efficacy and safety to other alternatives. Use of opioids in addition to propofol may not provide added benefit but does contribute to increased rates of adverse events.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".