Small Bowel Obstruction Caused by Carcinoid Tumor and Incidental Capsule Retention
Bibliographic record
Abstract
Capsule endoscopy (CE) is a sensitive modality for examining the small bowel and is commonly employed to identify a variety of small bowel pathologies. We report a case of capsule retention leading to diagnosis of a chronic condition. A 60-year-old female presented with abdominal pain, nausea, and weight loss for 3 years. Physical exam revealed a mildly tender abdomen with hypoactive bowel sounds. Laboratory was normal. Abdominal radiographs showed a partial small bowel obstruction with retained capsule. Abdominal computed tomography (CT) demonstrated a retained capsule in the mid-portion of the jejunum, dilated small bowel, and terminal ileal mass. She underwent exploratory laparotomy showing an ileal mass with hepatic metastasis. A right hemicolectomy, reanastomosis, and removal of the retained capsule were performed. Pathology showed well-differentiated carcinoid tumor. She was discharged home for further treatment with oncology. Carcinoid tumors of the small bowel usually present with abdominal pain or small bowel obstruction. Our patient had intermittent small bowel obstruction due to a carcinoid tumor and retained capsule causing her symptoms. CE is a valuable tool but requires extensive consideration and possible patency capsule prior to use in patients presenting with symptoms consistent with Crohn's disease or small bowel tumor.
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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) | 0.001 | 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 | 0.001 | 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".