Systematic review: secondary prevention with band ligation, pharmacotherapy or combination therapy after bleeding from oesophageal varices
Bibliographic record
Abstract
BACKGROUND: Variable methods are available for secondary prevention after oesophageal variceal bleeding (EVB). AIM: To compare band ligation (BL), pharmacotherapy (PT) and BL+PT for EVB secondary prevention. METHODS: A systematic search of databases, references and meeting abstracts was conducted for randomized trials of BL, PT or BL+PT. The outcomes were mortality, rebleeding and adverse events. A random-effects model was used for meta-analyses. RESULTS: Twelve trials were included (6 BL vs. PT, 4 BL+PT vs. BL, 2 BL+PT vs. PT). All trials used beta-blockers +/- isosorbide mononitrate (ISMN) as PT. Mortality was not significantly different among trials. Rebleeding was not significantly different for BL vs. PT (RR 1.00, 95% CI 0.73-1.37). BL reduced rebleeding compared with PT for trials with mean beta-blocker dose <80 mg/day (RR 0.67, 95% CI 0.49-0.91). There were nonsignificant differences in rebleeding for BL+PT vs. BL (RR 0.57, 95% CI 0.31-1.08) and BL+PT vs. PT (RR 0.76, 95% CI 0.56-1.03). There was no difference in adverse events between BL vs. PT, but was higher with BL+PT vs. BL. CONCLUSION: Band ligation and PT alone are comparable for secondary prevention of rebleeding after EVB. Further trials with adequate PT dosing are required to determine the efficacy of combination BL+PT therapy.
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.012 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".