Somatostatin and gabexate for post‐endoscopic retrograde cholangiopancreatography pancreatitis prevention: Meta‐analysis of randomized placebo‐controlled trials
Why this work is in the frame
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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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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.032 | 0.011 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it