Appraising and highlighting gaps among prophylactic intervention studies for reducing the incidence of postoperative nausea and vomiting in children: a systematic review
Bibliographic record
Abstract
Objectives Postoperative nausea and vomiting (PONV) is a leading perioperative morbidity outcome following general anaesthesia. This systematic review aims to identify, appraise and summarise the evidence synthesis studies of prophylactic interventions that reduce the incidence of paediatric PONV, thereby highlighting knowledge gaps and avenues of future research. Design Systematic review using the AMSTAR-2 (A MeaSurement Tool to Assess Systematic Reviews 2) tool and the ROBIS (Risk Of Bias In Systematic reviews) tool. Data sources Seven major databases, including MEDLINE and EMBASE, from inception to 23 September 2022. Eligibility criteria for selecting studies Evidence synthesis studies of only randomised controlled trials that explored prophylactic interventions for PONV in children undergoing general anaesthesia. Data extraction and synthesis Following screening process by two reviewers, data were extracted from all eligible studies, including demographic parameters and details of interventions. Eligible studies were categorised into ‘pharmacological’ and ‘non-pharmacological’ groups and high-risk surgical groups of ‘strabismus’ and ‘tonsillectomy’ for qualitative synthesis. Results There were 20 evidence synthesis reviews (17 meta-analyses, 2 systematic reviews, 1 network meta-analysis): 14 investigated pharmacological PONV prophylaxis in children, 5 investigated non-pharmacological interventions, 1 studied both pharmacological and non-pharmacological interventions. Monotherapy pharmacological prophylaxis agents, for example, dexamethasone (relative risk (RR) 0.49, 95% CI 0.41 to 0.58), 5-hydroxytryptamine (5-HT 3 ) antagonists (OR 0.12, 95% CI 0.07 to 0.20) and α 2 -adrenoreceptor agonists (dexmedetomidine: RR 0.33, 95% CI 0.21 to 0.54), are more effective than placebo. A combination of pharmacological agents provided superior efficacy to monotherapy, particularly dexamethasone and 5-HT 3 antagonists (RR 0.21, 95% credible interval 0.15 to 0.28). Acustimulation practice was consistently favourable in preventing PONV compared with placebo (RR 0.36, 95% CI 0.25 to 0.52). Conclusion Monotherapy pharmacological prophylaxis is more effective than placebo in reducing the incidence of paediatric PONV, with the efficacy increased further by using combination pharmacotherapy. Further research must compare multiple treatment arms of pharmacological and non-pharmacological prophylaxes for PONV to identify the optimal multimodal prophylaxis regimen. PROSPERO registration number CRD42021236698.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.001 |
| 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".