A Very Rare Complication After Appendectomy in a Young Adult Patient: Abscess of the Greater Omentum
Bibliographic record
Abstract
An 18-year-old male patient was operated on for perforated appendicitis. An appendectomy combined with an omental resection was performed. On the 6th postoperative day, chickenpox was diagnosed, and the patient was transferred to an infectious diseases hospital. On the 16th postoperative day, the patient was readmitted with pain in the area of the postoperative scar, and body temperature of 38 °С. Substantial tenderness in the right iliac fossa without rigidity and peritoneal irritation was found on examination. By ultrasonography, a non-homogeneous hypoechoic mass measuring 40 × 37 mm without clear borders in the right iliac fossa was visualized, with a small amount of free fluid. The patient was reoperated on. An abscess of the greater omentum was found, and resection of an omental mass with the abscess cavity was performed. The postoperative course was uneventful, and the patient was discharged on the 15th day. We discuss previously published data on postoperative omentitis and omental abscess. Our case is a very rare case of an omental abscess that developed after appendectomy in a young adult patient. J Med Cases. 2014;5(1):36-39 doi: https://doi.org/10.4021/jmc1654e
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".