ThP3.13 - Impact of gastrojejunostomy anastomosis diameter on weight loss following laparoscopic gastric bypass: a systematic review
Bibliographic record
Abstract
Abstract Introduction Laparoscopic Roux-en-Y Gastric Bypass (RYGB) is a preeminent procedure for achieving significant weight reduction and alleviating obesity-related comorbidities. However, the influence of gastrojejunostomy (GJ) anastomosis diameter on weight loss is not well-elucidated. This review examines the effect of GJ diameter on post-RYGB weight loss outcomes. Methods A meticulous systematic search of the literature, limited to English-language publications, was executed with the assistance of an expert librarian. The search encompassed all studies available up to 3 August 2023, the date of the last search. Study quality was evaluated utilizing the Newcastle-Ottawa Scale. Due to the heterogeneity of the outcomes, a narrative synthesis approach was adopted. Results From 1,026 records screened, 6 studies met the inclusion criteria, demonstrating a range of GJ diameters and follow-up durations (1-5 years). Generally, smaller GJ diameters were associated with more significant weight loss in the short to medium term. There appears to be a threshold for the reduction in diameter; beyond this, the risk of complications such as stenosis may escalate. The studies indicated a moderate to low risk of bias and underscored the importance of accurate GJ area quantification post-operation. Conclusion This review identifies a negative correlation between smaller GJ diameters and weight loss after RYGB. Future investigations should prioritize the standardization of measurement techniques and investigate the potential of intra-operative and artificial intelligence-based methodologies for optimal GJ diameter determination, with the aim of augmenting patient outcomes in bariatric surgery.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.013 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".