NSAID-Associated Perforation of a Meckel’s Diverticulum: A Case Report
Bibliographic record
Abstract
UNLABELLED: Meckels diverticulum is the most frequent congenital malformation of the gastrointestinal tract. The most common ectopic tissue within a Meckels is heterotopic gastric mucosa, with bleeding being the most common presentation. However, perforation of a Meckels diverticulum is a rare presentation. NSAID-associated Meckels perforation has been suggested, however has not been documented in the literature. We present a case of a 17-year-old female with acute abdominal pain and tenderness following a 24-hour history of excessive ingestion of NSAIDS for pain related to tooth extraction. Chest radiograph demonstrated free intra-abdominal air and she was subsequently taken for exploratory laparotomy. A perforated Meckels diverticulum was isolated and resected. Though NSAID-associated bleeding of heterotopic gastric mucosa has been described, and perforation of the Meckels diverticulum has been suggested, no clear association between heterotopic gastric mucosa and perforation exists. On the other hand, the relationship between NSAIDS and gastric ulcer perforation is well documented. A similar mechanism may also play a role in NSAID-associated Meckels perforation. With how common NSAID use is, we believe it is important to document NSAID-associated perforation of a Meckels diverticulum. KEYWORDS: Meckels diverticulum; NSAIDS; Perforation; Heterotopic gastric mucosa.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.010 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".