Clinical correlates of faecal incontinence in systemic sclerosis: identifying therapeutic avenues
Bibliographic record
Abstract
Objectives: The aim was to establish the prevalence and severity of faecal incontinence (FI) in SSc, its association with other intestinal manifestations and potential predictors of FI, and its impact on quality of life. Methods: A multicentre, cross-sectional study of 298 SSc subjects followed in the Canadian Scleroderma Research Group cohort was performed using validated questionnaires: Jorge-Wexner score (an FI severity scale), Bristol stool scale (a visual scale of stool consistency) and FI Quality-of-Life scale. Constipation was defined by the Rome III criteria. Associations between the Jorge-Wexner score and other clinical variables were determined using multivariate regression analyses. Results: Eighty-one (27.2%) subjects had FI, which was mild in 37 (12.4%) and moderate to severe in 44 (14.8%). Most patients had well-formed stools, 111 (38.8%) reported constipation and 38 (13.4%) had been previously treated for small intestinal bacterial overgrowth (SIBO). Variables independently associated with FI were: loose vs well-formed stools [odds ratio (OR) = 7.01, 95% CI: 2.09, 23.51)], constipation (OR = 3.64, 95% CI: 1.61, 8.27, P = 0.002), history of SIBO (OR = 2.97, 95% CI: 1.06, 8.27) and urinary incontinence (OR = 2.45, 95% CI: 1.14, 5.27). Quality of life measured with the FI Quality-of-Life scale was inversely correlated with FI severity (correlation coefficients between -0.602 and -0.702, P < 0.001). Conclusion: FI was common and often severe in SSc. Loose stools, SIBO, constipation and urinary incontinence were strongly associated with FI. Other than targeting anorectal dysfunction, concomitant treatment of clinical correlates could lead to improvement in FI and quality of life in SSc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".