Propofol administration by endoscopists versus anesthesiologists in gastrointestinal endoscopy: a systematic review and meta-analysis of patient safety outcomes
Bibliographic record
Abstract
BACKGROUND: With a growing demand for endoscopic services, the role of anesthesiologists in endoscopy units must be reassessed. The aim of this study was to compare patient outcomes in non-anesthesiologist-administered propofol (NAAP) versus anesthesiologist-administered propofol (AAP) during routine endoscopy. METHODS: We systematically searched MEDLINE, CINAHL, Embase, Web of Science, CENTRAL and the grey literature for studies comparing NAAP and AAP. Primary outcomes included endoscopy- and sedation-related complications. Secondary outcomes included measures of endoscopy quality and of patient and endoscopist satisfaction. We reported treatment effects using random-effects models. RESULTS: Of 602 articles identified, 5 met the inclusion criteria. Most studies included only patients with an American Society of Anesthesiologists (ASA) classification of I or II. Non-anesthesiologist-administered propofol did not result in increased rates of airway intervention (odds ratio [OR] 1.07, 95% confidence interval [CI] 0.29 to 3.95; 3443 patients) or hypotension (OR 1.47, 95% CI 0.40 to 5.41; 17 978 patients) but did result in higher rates of bradycardia (OR 3.68, 95% CI 1.65 to 8.17; 17 978 patients). Nonanesthesiologists administered lower propofol dosages than anesthesiologists (mean difference -61.79, 95% CI -114.46 to -9.12; 3443 patients), and their patients more commonly experienced awareness with recall (OR 19.99, 95% CI 7.88 to 50.76; 2090 patients). However, NAAP neither compromised patient willingness to repeat the procedure (OR 0.42, 95% CI 0.10 to 1.83; 2367 patients) nor lengthened total procedure time (mean difference -0.08, 95% CI -3.51 to 3.34; 2367 patients). CONCLUSION: Endoscopists may safely administer propofol without compromising procedural quality in patients classified as ASA I or II undergoing routine endoscopy. The results of this meta-analysis are limited by a lack of available high-quality studies. Further, large-scale studies are needed for definitive conclusions.
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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 | 0.013 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.030 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".