Impact of Early Gastrojejunal Stenosis on Weight Loss in Patients Undergoing Roux-en-Y Gastric Bypass
Bibliographic record
Abstract
BACKGROUND: Gastrojejunal (GJ) anastomotic stenosis is a well-described complication after Roux-en-Y gastric bypass (RYGB); however, its impact on weight loss outcomes is not well elucidated. METHODS: We performed a retrospective cohort study of adult patients who underwent RYGB at our institution between 2008 and 2020. Propensity score matching was used to match 30 patients who developed GJ stenosis within the first 30 days post-RYGB with 120 control patients who did not develop this outcome. Short and long-term complications and mean percentage of total body weight loss (TWL) were recorded at 3 months, 6 months, 1 year, 2 years, 3 to 5 years, and 5 to 10 years postoperatively. Hierarchical linear regression modeling was used to analyze the association between early GJ stenosis and the mean percentage of TWL. RESULTS: Patients who developed early GJ stenosis had a 13.6% increase in the mean percentage of TWL when compared with controls in the hierarchical linear model [ P < 0.001 (95% CI: 5.7; 21.5)]. These patients were also more likely to present to an intravenous infusion center (70% vs 4%; P < 0.01), require readmission within 30 days (16.7% vs 2.5%; P < 0.01), and/or develop an internal hernia (23.3% vs 5.0%) postoperatively. CONCLUSIONS: Patients who develop early GJ stenosis after RYGB have a greater degree of long-term weight loss compared with patients who do not develop this complication. Although our findings support the key contribution that restrictive mechanisms play in maintaining weight loss after RYGB, GJ stenosis remains a complication associated with significant morbidity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".