Transradial left gastric artery embolization to treat severe obesity: A pilot study
Bibliographic record
Abstract
BACKGROUND: Bariatric surgery is currently the only effective treatment with long-lasting results to treat severe obesity. OBJECTIVES: We performed a pilot study to evaluate the feasibility, safety and efficacy of percutaneous distal embolization of the left gastric artery (LGA) using a transradial approach. METHODS AND RESULTS: . We successfully injected 300-500 μm polyvinyl alcohol particles using 5Fr catheters and all distal LGA were occluded at the end of procedures. Mean procedure duration was 24 ± 13 min and mean fluoroscopy time was 10 ± 5 min. Six patients reported mild transient epigastric discomfort, which resolved with proton pump inhibitors. At 2 months, the average weight loss was of 7 ± 6 kg (median loss: -10 kg [-2, -11]), 6 ± 12 kg (median loss: -9 kg [-16, +4]) at 6 months and 13 ± 17 kg (median loss: -11 kg [0, -25]) up to 12 months after index procedures. CONCLUSION: Percutaneous transradial LGA embolization appears to be a promising technique to reduce the obesity burden. Randomized trials are required to further delineate the risk/benefit ratio, potential clinical indications and long term results.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".