Minimally invasive management of a paraduodenal hernia with intestinal malrotation
Bibliographic record
Abstract
Paraduodenal hernias (PDHs) are rare entities that may present with acute or subacute symptoms, and which pose challenges to prompt diagnosis and treatment. The minimally invasive management of these hernias is emerging as a new compelling approach to optimize surgical recovery. We present the case of a 42-year-old female patient who presented with acute abdominal pain and symptoms of bowel obstruction. Abdominal imaging suggested the presence of a left PDH. Laparoscopic exploration was performed. Intestinal malrotation was noted with incarceration of a small bowel loop in the Landzert fossa. The incarcerated bowel loop was freed and primary repair of the hernial defect was performed. PDHs are usually congenital and involve a herniation of abdominal content into the left mesocolon, between the mesocolon and the posterior abdominal wall. Minimally invasive treatment, consisting of adhesiolysis and repair of the hernial defect, seems to be a valid and safe option.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".