A novel method of pannus suspension during massive panniculectomy
Bibliographic record
Abstract
Morbidly obese patients are often burdened by a massive abdominal pannus that can only be addressed with a panniculectomy. However, as its size and weight increase, pannus handling during surgery becomes a real challenge for the surgeon and his/her assistants. We describe a case where we use a novel method of pannus suspension, the Spider Tenet, a limb positioner for orthopedic procedures. This device allows a stable pannus suspension throughout the procedure to facilitate incision planning, skin preparation, and retraction, as well as to increase exposure, thereby facilitating the identification and ligation of large blood vessels during dissection. The Spider Tenet has the advantage of being easy and quick to set up and operate, and it is readily covered with sterile drapes, thus decreasing the risk of contamination during a surgery. With increasing rates of obesity, we can expect that the demand for abdominal panniculectomies will rise. We introduce the use of a device that eliminates the technical challenges encountered during massive panniculectomy while reducing operative time and morbidity. More importantly, it allows the solo surgeon to carry out this procedure without additional hands other than the scrub nurse.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".