Epidemiology, Pathophysiology, and Classification of Fecal Incontinence: State of the Science Summary for the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Workshop
Bibliographic record
Abstract
In August 2013, the National Institutes of Health sponsored a conference to address major gaps in our understanding of the epidemiology, pathophysiology, and management of fecal incontinence (FI) and to identify topics for future clinical research. This article is the first of a two-part summary of those proceedings. FI is a common symptom, with a prevalence that ranges from 7 to 15% in community-dwelling men and women, but it is often underreported, as providers seldom screen for FI and patients do not volunteer the symptom, even though the symptoms can have a devastating impact on the quality of life. Rough estimates suggest that FI is associated with a substantial economic burden, particularly in patients who require surgical therapy. Bowel disturbances, particularly diarrhea, the symptom of rectal urgency, and burden of chronic illness are the strongest independent risk factors for FI in the community. Smoking, obesity, and inappropriate cholecystectomy are emerging, potentially modifiable risk factors. Other risk factors for FI include advanced age, female gender, disease burden (comorbidity count, diabetes), anal sphincter trauma (obstetrical injury, prior surgery), and decreased physical activity. Neurological disorders, inflammatory bowel disease, and pelvic floor anatomical disturbances (rectal prolapse) are also associated with FI. The pathophysiological mechanisms responsible for FI include diarrhea, anal and pelvic floor weakness, reduced rectal compliance, and reduced or increased rectal sensation; many patients have multifaceted anorectal dysfunctions. The type (urge, passive or combined), etiology (anorectal disturbance, bowel symptoms, or both), and severity of FI provide the basis for classifying FI; these domains can be integrated to comprehensively characterize the symptom. Several validated scales for classifying symptom severity and its impact on the quality of life are available. Symptom severity scales should incorporate the frequency, volume, consistency, and nature (urge or passive) of stool leakage. Despite the basic understanding of FI, there are still major knowledge gaps in disease epidemiology and pathogenesis, necessitating future clinical research in FI.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".