Laparoscopic entry: a review of Canadian general surgical practice
Bibliographic record
Abstract
BACKGROUND: Laparoscopic surgery has gained popularity over open conventional surgery as it offers benefits to both patients and health care practitioners. Although the overall risk of complications during laparoscopic surgery is recognized to be lower than during laparotomy, inadvertent serious complications still occur. Creation of the pneumoperitoneum and placement of laparoscopic ports remain a critical first step during endoscopic surgery. It is estimated that up to 50% of laparoscopic complications are entry-related, and most injury-related litigations are trocar-related. We sought to evaluate the current practice of laparoscopic entry among Canadian general surgeons. METHODS: We conducted a national survey to identify general surgeon preferences for laparoscopic entry. Specifically, we sought to survey surgeons using the membership database from the Canadian Association of General Surgeons (CAGS) with regards to entry methods, access instruments, port insertion sites and patient safety profiles. Laparoscopic cholecystectomy was used as a representative general surgical procedure. RESULTS: The survey was completed by 248 of 1000 (24.8%) registered members of CAGS. Respondents included both community and academic surgeons, with and without formal laparoscopic fellowship training. The demographic profile of respondents was consistent nationally. A substantial proportion of general surgeons (> 80%) prefer the open primary entry technique, use the Hasson trocar and cannula and favour the periumbilical port site, irrespective of patient weight or history of peritoneal adhesions. One-third of surgeons surveyed use Veress needle insufflation in their surgical practices. More than 50% of respondents witnessed complications related to primary laparoscopic trocar insertion. CONCLUSION: General surgeons in Canada use the open primary entry technique, with the Hasson trocar and cannula applied periumbilically to establish a pneumoperitoneum for laparoscopic surgery. This surgical approach is remarkably consistent nationally, although considerably variant across other surgical subspecialties. Peritoneal entry remains an important patient safety issue that requires ongoing evaluation and study to ensure translation into safe contemporary clinical practice.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.035 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".