<scp>EUS</scp>‐guided coil and glue injection versus endoscopic glue injection for gastric varices: International multicentre propensity‐matched analysis
Bibliographic record
Abstract
BACKGROUND: Gastric varices (GVs) are conventionally managed with endoscopic cyanoacrylate (E-CYA) glue injection. Endoscopic ultrasound (EUS)-guided therapy using combination of coils and CYA glue (EUS-CG) is a relatively recent modality. There is limited data comparing the two techniques. METHODOLOGY: This international multicentre study included patients with GV undergoing endotherapy from two Indian and two Italian tertiary care centres. Patients undergoing EUS-CG were compared with propensity-matched E-CYA cases from a cohort of 218 patients. Procedural details such as amount of glue, number of coils used, number of sessions required for obliteration, bleeding after index procedure rates and need for re-intervention were noted. RESULTS: Of 276 patients, 58 (male 42, 72.4%; mean age-44.3 ± 12.1 years) underwent EUS-CG and were compared with 118 propensity-matched cases of E-CYA. In the EUS-CG arm, complete obliteration at 4 weeks was noted in 54 (93.1%) cases. Compared to the E-CYA cohort, EUS-CG arm showed significantly lower number of session (1.0 vs. 1.5; p < 0.0001) requirement, lower subsequent-bleeding episodes (13.8% vs. 39.1%; p < 0.0001) and lower re-intervention (12.1% vs. 50.4%; p < 0.001) rates. On multivariable regression analysis, size of the varix (aOR-1.17; CI 1.08-1.26) and technique of therapy (aOR-14.71; CI 4.32-50.0) were significant predictors of re-bleeding. A maximum GV size >17.5 mm had a 69% predictive accuracy for need for re-intervention. CONCLUSION: Endoscopic ultrasound-guided therapy of GV using coil and CYA glue is a safe technique with better efficacy and lower re-bleeding rates on follow-up compared to the conventional endoscopic CYA therapy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".