Bibliographic record
Abstract
BACKGROUND: Pouchitis is the most common inflammatory complication in ulcerative colitis patients undergoing postoperative construction of an IPAA. Pouchitis refers to a spectrum of diseases, and as such, it lacks a universally accepted definition as well as validated instruments to measure disease activity and treatment response. Assessing pouchitis activity is challenging, and methods for diagnosis and classification of severity of pouchitis are not universally agreed upon. CLINICAL FEATURES: Pouchitis is characterized by a constellation of clinical symptoms, including increased stool frequency, urgency, incontinence, bleeding, and rarely constitutional symptoms such as malaise and low-grade fever. However, these symptoms are subjective, and similar symptoms can be caused by noninflammatory conditions including anal sphincter dysfunction, anastomotic strictures, occult leaks, pouch inlet obstruction, and cuffitis. Objective scores that include endoscopic and histologic criteria have been developed for subjects with an IPAA. However, these instruments are not validated for measuring pouchitis disease activity and are associated with a number of challenges. In addition, the clinical components of the scores correlate poorly with endoscopic and histologic findings. CONCLUSION AND FUTURE DIRECTIONS: There is a need for prospective studies to facilitate the development and validation of novel instruments that are valid, reliable, and responsive to change that would facilitate the development of therapeutic agents for the treatment of pouchitis.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".