Decreasing complication rates for one-stage conversion band to laparoscopic sleeve gastrectomy: A retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Laparoscopic adjustable gastric banding (LAGB) revision surgery is often necessary because of its high failure rate. The objective of this study was to demonstrate that better patient selection, when converting a failed LAGB to a laparoscopic sleeve gastrectomy (LSG) as a one-stage revision procedure, is safe, feasible and improves the complication rate. PATIENTS AND METHODS: A retrospective chart review was performed on patients who underwent a one-stage conversion of failed gastric banding to a LSG. Collected data included age, sex, body mass index (BMI), intraoperative complications, length of stay and post-operative complications. The results were compared to a previous study of 90 cases of LSG as a revision procedure for failed LAGB. RESULTS: (32-66). Seventy patients (93.3%) were operated for insufficient weight loss and 5 patients (6.7%) for intolerance to the band. In our previous study, 35 patients (39%) were operated for slippage, erosion or obstruction and 14 (15.6%) had post-operative complications as opposed to only 4 patients (5.3%) in this series (P = 0.0359). Gastric leak also improved to 1.3% compared to 5.5% previously. Average hospitalisation time was 2.5 days (1-40). CONCLUSIONS: Rigorous patient selection, without band complications such as slippage, erosion or obstruction, allows for a significantly lower rate of operative complications for a one-stage conversion of failed gastric banding to a LSG.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".