An intestinal carcinoid causing transient jejunal intussusception in an adult—A case report
Bibliographic record
Abstract
INTRODUCTION: Transient jejunal intussusception in an adult is a rare clinical finding as reported in the English literature. The diagnosis is usually a matter of exclusion given the extremely rare nature of this medical condition. PRESENTATION OF THE CASE: A young female presented to our hospital with abdominal pain and distention of six months duration. The episodes were intermittent in nature and resolved with conservative management. The aetiology remained obscure until a computerized tomography(CT) scan diagnosed a small bowel intussusceptionIntraoperatively a small bowel tumour was identified and resected. Pathology confirmed an intestinal carcinoid of the small bowel with no evidence of metastatic disease. DISCUSSION: Transient jejunal intussusception is a rare finding with only eight reported cases in the English literature. All previously reported cases have been ascribed to benign aetiologies and to our knowledge this is the first case of a malignancy causing transient jejunal intussusception. The management is usually conservative unless an actual cause for the intussusception can be ascertained. The diagnosis is usually one of exclusion and CT scan remains the gold standard in eliciting a diagnosis. CONCLUSION: Transient jejunal intussuception in adults is an extremely rare pathological condition and the diagnosis is usually entertained as a matter of exclusion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".