Bowel Urgency in Ulcerative Colitis: Current Perspectives and Future Directions
Bibliographic record
Abstract
Bowel urgency (BU), the sudden or immediate need for a bowel movement, is one of the most common and disruptive symptoms experienced by patients with ulcerative colitis (UC). Distinct from the separate symptom of increased stool frequency, BU has a substantial negative impact on quality of life and psychosocial functioning. Among patients with UC, BU is one of the top reasons for treatment dissatisfaction and one of the symptoms patients most want improved. Patients may not discuss BU often due to embarrassment, and healthcare providers may not address the symptom adequately due to the lack of awareness of validated tools and/or knowledge of the importance of assessing BU. The mechanism of BU in UC is multifactorial and includes inflammatory changes in the rectum that may be linked to hypersensitivity and reduced compliance of the rectum. Responsive and reliable patient-reported outcome measures of BU are needed to provide evidence of treatment benefits in clinical trials and facilitate communication in clinical practice. This review discusses the pathophysiology and clinical importance of BU in UC and its impact on the quality of life and psychosocial functioning. Patient-reported outcome measures developed to assess the severity of BU in UC are discussed alongside overviews of treatment options and clinical guidelines. Implications for the future management of UC from the perspective of BU are also explored.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".