Role of capsule endoscopy in inflammatory bowel disease
Bibliographic record
Abstract
Capsule endoscopy (CE) is an innovative technological breakthrough that for the first time provides a noninvasive method to obtain high-resolution imaging of the entire small bowel. Since its recent inception, the diagnostic utility of CE has become well established for the evaluation of diverse ulcerative and inflammatory disorders of the jejunum and ileum. The incredible resolution of its lens (0.1 mm) detects focal villous edema or atrophy, denuded, as well as ulcerated mucosal lesions missed by other imaging techniques. CE has been shown by meta-analysis to be a more sensitive method to investigate patients for small bowel Crohn's disease, with an incremental yield above 30% versus other imaging modalities. In patients with indeterminate colitis, CE is useful in distinguishing between ulcerative and Crohn's colitis. Among patients with established Crohn's disease, CE may be employed to determine: (1) the extent and severity of small bowel involvement, (2) postoperative recurrence, (3) post-therapy mucosal healing, and (4) whether active small bowel inflammatory lesions exist in the clinical setting of functional bowel disorder. Complications are rare and include capsule retention at stricture sites. The new patency capsule can diminish the risk of the latter problem in at-risk patients. CE can also serve as a guide to sites that require biopsies or dilatation by push or double-balloon enteroscopy. However, other causes of small bowel lesions may mimic Crohn's disease. A standard terminology system has thus been developed, and a CE Crohn's disease severity scoring index is currently undergoing validation studies.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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".