Single-Port Sleeve Gastrectomy Compared With Conventional Laparoscopic Sleeve Gastrectomy: 5-Year Follow-up of Weight Loss, Comorbidity Resolution, and Cost
Bibliographic record
Abstract
Background. The Single-Port Instrument Delivery Extended Reach (SPIDER) surgical system is a safe revolutionary technology that defeated difficulties of single-incision surgery. We assessed the long-term outcomes of SPIDER sleeve gastrectomy (SPIDER SG) versus conventional laparoscopic sleeve gastrectomy (LSG) in morbidly obese patients. Methods. Retrospective review of patients who underwent SPIDER SG or LSG in our center matched by the date of surgery (2012-2013). We reviewed weight loss results up to 5 years, complication rates, procedure and hospitalization durations, financial cost, and effect on comorbidities. Results. Patients underwent 200 SPIDER SG and 220 LSG. At baseline, SPIDER SG versus LSG patients had a mean body mass index of 43.8 ± 5.6 and 48.6 ± 8.1 kg/m 2 , respectively. At 1 year, both groups had comparable percentage of excess weight loss (%EWL). At 5 years, SPIDER SG had %EWL of 54.6 ± 24.8 compared with 57.8 ± 29.9 in LSG ( P = .4). Nine SPIDER SG (4.5%) required conversion to LSG. Complications occurred in both groups: 4% versus 4.1% ( P = .95). At 2-year follow-up, diabetes mellitus was reversed in 43% of SPIDER SG and 62% LSG. Despite a shorter hospital stay in SPIDER SG, the total cost was significantly higher ($2 041 477) compared with LSG ($1 773 834). The mean score of scar satisfaction was significantly more in SPIDER SG. Conclusions. SPIDER SG was safe with long-term effects on weight loss comparable to LSG. Despite the higher cost of SPIDER SG, a shorter hospital stay and better cosmesis were observed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".