Ogilvie’s Syndrome With Caecal Perforation Following Caesarean Section: A Case Report
Bibliographic record
Abstract
A 33-year-old healthy Caucasian woman underwent an emergency caesarean section at term for cephalopelvic disproportion. She developed abdominal distension and pain on first post operative day (POD) and was diagnosed clinically as having paralytic ileus. She refused an abdominal x-ray. Her condition improved with conservative management and she managed to pass flatus and have a bowel movement. She was discharged against medical advice on the sixth postoperative day. She presented to the emergency department on 14th day post delivery with acute abdomen. Diagnosis of perforated viscus was made on abdominal x-ray. She underwent an emergency laparotomy. At laparotomy, a perforation in her caecum was found and a hemicolectomy and loop ilieostomy was performed. Unfortunately her postoperative recovery was complicated by wound dehiscence secondary to infection. She recovered and was discharged home 39 days after the emergency laparotomy. Ogilvie ’ s syndrome can often be missed because the patient demonstrates signs of resolving ileus by passing flatus or having a bowel movement and have normal bowel sounds. Radiological confirmation of resolving ileus should be carried out if clinically the patient ’ s abdomen is still distended. Timely recognition may prevent the complication of perforated caecum, which can occasionally prove fatal. doi: http://dx.doi.org/10.4021/jmc1042e
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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 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| 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".