A case report of a double port site hernia and their laparoscopic repair with intra corporeal suturing of the hernia necks and an underlay mesh repair
Bibliographic record
Abstract
INTRODUCTION: Port site hernias (PSH) are a potential postoperative complication in laparoscopic surgery. It is difficult to estimate their true incidence given the descrepancy in published reports. PRESENTATION OF CASE: This is a case report of a 42-year-old lady who developed two separate PSH requiring a laparoscopic repair. This is also the first reported case of multiple PSH in a single patient in the English literature. DISCUSSION: This report highlights the need for further research in establishing well defined incidence rates in order to properly discuss future surgical risks when consenting a patient for laparoscopic surgery. It is our belief that future research should be directed towards determining the risk associated with different trocar types, in the setting of various premorbid patient factors, to help surgeons decide on relevant instrument use and the most appropriate closure for port sites. CONCLUSION: The growing incidence of PSH has brought about significant changes in the practice of laparoscopic surgery which behoves us as practicing clinicians to stay abreast of these changes so as to decrease the incidence of PSH.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".