Advances in abdominal access for laparoscopic surgery: a review
Bibliographic record
Abstract
Maurice Ogaick,1 Guillaume Martel1,2 1Department of Surgery, 2Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada Abstract: There are several laparoscopic surgery abdominal wall access techniques. The most useful and well-established is the open Hasson technique. The Veress needle closed technique is another alternative, but its use is controversial owing to possibly higher rates of rare insertion complications. Optical trocars have been developed in an attempt to decrease complication rates even further, although the evidence base supporting their use is limited. Single-incision laparoscopic surgery (SILS) is used in certain centers to carry out various abdominal surgeries, but most commonly appendectomy and cholecystectomy. To date, SILS appears safe and feasible, with possibly greater costs and operative time. Natural orifice translumenal endoscopic surgery (NOTES) is an evolving area of incisionless surgery. While some progress has been made in achieving transgastric or transvaginal peritoneal endoscopic access, this technique remains largely unproven and best-suited for experimental or clinical trial protocols. Keywords: laparoscopy, Hasson, Veress, optical trocar, SILS, NOTES
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".