Adverse Events Associated With Endoscopic Retrograde Cholangiopancreatography: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND & AIMS: Endoscopic retrograde cholangiopancreatography (ERCP)-related adverse events (AEs) are associated with morbidity, mortality, and health care expenditure. We aimed to assess incidences and comparisons of ERCP AEs. METHODS: We included studies performed after 2000 reporting on ERCP AEs from database inception through March 12, 2024. Outcomes included pancreatitis, bleeding, cholangitis, cholecystitis, perforation, and death. DerSimonian and Laird random effects meta-analyses were performed to calculate incidences of AEs. Subgroup and pairwise meta-analyses were performed. Meta-regression was performed on median recruitment year to assess temporal trends in pancreatitis incidence. RESULTS: , 90%; n = 306,378). CONCLUSIONS: ERCP-associated AEs remain common. Incidence of post-ERCP pancreatitis remained static despite improvements in techniques, prevention, and recognition. These results are important to patients, endoscopists, and policy makers to inform consent and to encourage implementation of available risk mitigation strategies.
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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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.023 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".