The utility of capsule endoscopy in the diagnosis of obscure gastrointestinal bleeding of the elderly
Bibliographic record
Abstract
Objective To evaluate the effectiveness of M2A capsule endoscopy in the diagnosis of obscure gastrointestinal bleeding of elder patients. Methods Capsule endoscopy was used in 27 elderly patients, who were suspected of small bowel bleeding because of obscure gastrointestinal bleeding. About 20 of the 27 patients underwent gastroscopy, colonoscopy or air-baricum double contrast examination, but none of the examinations confirmed the bleeding sites, whereas the other 5 patients didn't receive any examination because of their intolerance. Results M2A capsule endoscopy disclosed the sites of small bowel disorders in 20 out of the 27 patients, the positive rate was about 74. 1%. The pathological findings consisted of angiodysplasia in 6 cases, mutipolypi in the intestine in 4, and 1 of them was diagnosed rare Cronkhite-Canada syndrome, prominency in the intestine in 4, single or multiple ulcers in the intestine in 7, diffuse mucosa lesion in the intestine in 9 and diverticulum in 1, arteriolar bleeding in gastric in 2, gastric mucosa erosion or ulcer in 5, whereas 7 patients were in negative findings. There were 12 patients in whom appeared at least 2 sites of pathological changes. Conclusions This study demonstrates that capsule endoscopy provides an excellent visualization way for the small intestines, especially when the elder patients suffers obscure gastrointestinal bleeding. It is safe and usefull for evaluating the suspected small bowel bleeding.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".