Large prolapse-related lesions of the sigmoid colon
Bibliographic record
Abstract
BACKGROUND: Large prolapse-related lesions (LPRL) of the sigmoid colon have been documented histologically but may not be readily recognized endoscopically. METHODS: Colonic lesions referred for endoscopic mucosal resection (EMR) were enrolled prospectively. Endoscopic features were carefully documented prior to resection. Final diagnosis was made based on established histologic criteria, including vascular congestion, hemosiderin deposition, fibromuscular hyperplasia, and crypt distortion. RESULTS: Of 134 large ( ≥ 20 mm) sigmoid lesions, 12 (9.0 %) had histologic features consistent with mucosal prolapse. Distinct endoscopic features were: broad-based morphology; vascular pattern obscured by dusky hyperemia; blurred crypts of varying size and shape; and irregular spacing of sparse crypts. Focal histologic dysplasia was identified in 6 of 12 lesions (50.0 %). CONCLUSIONS: LPRL of the sigmoid colon exhibit a distinct endoscopic profile. Although generally non-neoplastic, dysplasia may be present, warranting consideration of EMR.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".