Long-term outcomes of colectomy surgery among patients with ulcerative colitis
Bibliographic record
Abstract
The objective of this study was to evaluate long-term health-related quality of life outcomes among patients who had a colectomy within the previous 10 years. A cross-sectional survey was administered to consecutive patients ≥18 years of age with ulcerative colitis who had a colectomy within the last 10 years from centers in Canada, Australia, and the United Kingdom. Data were extracted from medical chart reviews to confirm selected self-reported patient characteristics. Of 351 survey respondents, 49 % were male and the median age was 40 years (interquartile range 30-52). Respondents were diagnosed with UC a median of 9.2 (5.7-15.1) years prior to the survey and first surgery occurred a median of 3.7 (2.1-5.8) years ago. Although most respondents (84 %) reported improved quality of life compared to the status before surgery, 81 % experienced problems in at least one of the following areas: depression, work productivity, restrictions in diet, body image, and sexual function. According to HADS scores, 30 and 17 % of survey respondents experienced anxiety and depression, respectively. Among moderate to severe UC patients pre-colectomy, 27 % of men and 28 % of women reported that their sexual life was worse now than before surgery. The mean EQ-5D utility index score overall was 0.79 (95 % confidence interval 0.77-0.81). Quality of life after colectomy for UC is generally good, but there are persistent quality of life issues that impact multiple domains, including psychological and sexual functioning.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".