Somatostatin and gabexate for post‐endoscopic retrograde cholangiopancreatography pancreatitis prevention: Meta‐analysis of randomized placebo‐controlled trials
Bibliographic record
Abstract
BACKGROUND AND AIM: Prior studies have suggested the efficacy of somatostatin and gabexate in post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis prevention. We examined this notion in our study. METHODS: An extensive literature search led to the inclusion of seven homogeneous high-quality studies (Jadad score >or=4), involving 3,130 patients. The studies were grouped according to the drug's length of administration: given as an infusion for 12 h (groups SOM1 and GAB1 for somatostatin and gabexate, respectively); given as an infusion for less then 12 h (groups SOM2 and GAB2 for somatostatin and gabexate, respectively); and given as a bolus (group SOM3 for somatostatin, none identified for gabexate). Separate meta-analyses investigating post-procedural pancreatitis and hyperamylasemia rates were conducted in a random effects model. RESULTS: Pancreatitis analyses yielded significant risk differences for the SOM1, SOM3 and GAB1 groups. The resulting values were 7.7% (95% confidence intervals [CI][3.4 to 12.0], P < 0.0001), 8.2% (95% CI [4.4 to 12.0], P < 0.0001) and 5.2% (95% CI [1.1 to 9.4], P = 0.01), respectively. No statistically significant risk differences were observed for the SOM2 and GAB2 groups: -2.3% (95% CI [-5.2 to 0.5], P = 0.11) and -1.1% (95% CI [-3.8 to 1.6], P = 0.41), respectively. Hyperamylasemia analyses yielded significant risk differences for the SOM1 and SOM3 groups (P = 0.017 and 0.001, respectively), although not for the SOM2, GAB1 and GAB2 groups (P = 0.44, 0.49 and 0.47, respectively). CONCLUSIONS: Somatostatin administered as a bolus seems to be an efficacious measure of post-ERCP pancreatitis prevention, reducing pancreatitis and hyperamylasemia rates, and being applicable to clinical practice. Further study is required before its introduction into routine care.
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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 | 0.020 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.043 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".