Risk of Adverse Events Associated with Domperidone and Metoclopramide in Gastroparesis: Systematic Review and Meta-analysis
Bibliographic record
Abstract
BACKGROUND: Dopamine antagonists are the main pharmacological options to treat gastroparesis. The aim of this study was to conduct a systematic literature review (SLR) to evaluate the profile of adverse events (AEs) of dopamine antagonists used in the treatment of children and adults with gastroparesis. METHODS: We searched EMBASE and MEDLINE up to March 25, 2021, for relevant clinical trials and observational studies. We conducted a proportional meta-analysis to estimate the pooled occurrence of AEs (%), with 95% confidence interval (CI), from arm-level data across studies and the comparative occurrence of AEs from placebo-controlled clinical trials (odds ratio [OR] with 95% CI). RESULTS: We identified 28 studies assessing AEs experienced by patients treated for gastroparesis with domperidone and metoclopramide; 22 studies contributed data to the meta-analyses. Cardiovascular, neurological, and endocrine AEs were commonly observed, with point incidences varying from 1 to > 50%. Clinically important AEs, such as QTc prolongation, occurred in 5% of patients treated with domperidone (95% CI: 3.32-8.62). Restlessness, an extrapyramidal AE, occurred in 15% of patients (95% CI: 7.48-26.61) treated with metoclopramide, with a 7-fold increase compared with patients receiving placebo (OR: 7.72; 95% CI: 1.27-47.05). Variation in terminology to describe extrapyramidal events precluded further pooled analyses. Additional meta-analyses were not feasible due to discrepancies in the assessment and reporting of the AEs. CONCLUSIONS: The evidence confirms concerns of cardiovascular, extrapyramidal, and endocrine AEs in patients with gastroparesis treated with domperidone and metoclopramide. Imprecise AE reporting limits firm interpretation and conclusions. REGISTRATION: PROSPERO international prospective register of systematic reviews (registration number: CRD42021248888).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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".