Efficacy of spyglass-guided electrohydraulic lithotripsy in difficult bile duct stones
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND/AIMS: We aimed to evaluate the efficacy and safety of Spyglass-guided electrohydraulic lithotripsy (EHL) for difficult common bile duct stones (CBD) not amenable to conventional endoscopic therapy. DESIGN: A retrospective study evaluating the efficacy of Spyglass-guided EHL in treating difficult CBD stones, in a single tertiary care center. PATIENTS AND METHODS: All patients who underwent Spyglass-guided EHL from 2012 to 2013 were compared with a historical cohort who had ECSWL. RESULTS: A total number of 13 patients underwent Spyglass-guided EHL, 8 (61.5%) of them were males. The mean age was 46.5 ± 5.6 years. Bile duct clearance was achieved in 13 (100%) of them. Seventy-six percent required only one Endoscopic Retrograde Cholangiopancreatography (ERCP) to clear the CBD, 7.7% required two ERCPs, and 15.4% required three ERCPs. Adverse effects (cholangitis) occurred in one patient (10%), whereas only 30 patients (64.4%) of the ESWL group had complete CBD stone clearance. Thirty-seven percent required one ERCP to clear the CBD, 35.6% required two ERCPs, and 20% required three ERCPs. Adverse effects happened in seven (15.5%) patients, where five (11%) had cholangitis and two (4.4%) had pancreatitis. CONCLUSION: Although a retrospective design with a small sample size, we concluded that Spyglass-guided EHL is an effective procedure in treating difficult CBD stones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 it