Motion – Prophylactic Banding of Esophageal Varices Is Useful: Arguments against the Motion
Bibliographic record
Abstract
Bleeding from esophageal varices leads to substantial morbidity and mortality. Despite advances in pharmacological and endoscopic therapy, as well as general supportive care, the mortality rate associated with acute variceal hemorrhage has not improved significantly over the past two decades. Prophylactic therapy with nonselective beta-blockers or long acting nitrates reduces the incidence of variceal bleeding in patients with cirrhosis, is cost effective and may improve survival. Surgical portosystemic shunting reduces the risk of bleeding but is associated with significant operative mortality and a high risk of portosystemic encephalopathy. Endoscopic sclerotherapy causes adverse effects in a large proportion of patients and is, therefore, not suitable for primary prophylaxis of bleeding. Although variceal band ligation is effective in reducing the rate of bleeding and is safer than sclerotherapy, it has not been shown to provide a survival advantage compared with beta-blockers. A significant reduction in the rate of variceal bleeding with band ligation, compared with beta-blockers, was shown in only one study. Beta-blockers offer several advantages, including low cost, ease of use and safety. The available data do not yet support the prophylactic use of variceal band ligation, and this procedure should be reserved for patients who are either unwilling or unable to take beta-blockers. It is hoped that additional large, multicentre trials of band ligation versus beta-blockers will examine the efficacy, cost effectiveness and impact on quality of life among patients with cirrhosis.
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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 | 0.010 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".