A66 MICROSCOPIC COLITIS: AN EPIDEMIOLOGICAL ANALYSIS OF MANITOBA’S POPULATION
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background Microscopic colitis (MC) is an inflammatory disease of the colon, causing chronic diarrhea, with 2 histologic sub-types, collagenous colitis and lymphocytic colitis. It tends to affect older individuals, with a female predominance. MC is diagnosed in 10% of patients across all age groups, and in 20% in those over the age of 70 among persons undergoing colonoscopy for chronic watery diarrhea. However, there is a paucity of data in Canadian populations, thus we performed a population-based study in Manitoba to assess the prevalence of MC. Aims Determine of the prevalence of MC in Manitoba from 2006 - 2018. Methods Pathology reports which mentioned MC (or one of the histologic sub-types) were obtained from the Shared Health Pathology Database, which includes a portion of the pathology reports issued in Manitoba for the years 2006 to 2018. These pathology reports were then examined manually to detect true cases of MC. Patient demographics including age, year of diagnosis, and histologic sub-type (collagenous versus lymphocytic) were obtained. Continuous variables were analyzed using means. Results 9377 pathology reports were initially identified. Of these, 916 people (9.8%) were identified with MC, with 74 having had more than 1 colonoscopy during this time period. Of the 916 cases of MC, 53.5% (490) had collagenous colitis, 44.8% (410) had lymphocytic colitis, and 1.7% (16) did not have a specified sub-type reported. There was a female predominance: collagenous colitis at 83.9%, lymphocytic colitis at 77.1%, and unspecified subtype at 81.3%. The mean age of diagnosis for collagenous colitis, lymphocytic colitis, and unspecified, was 62.0 years old (SD 13.2), 59.8 years old (SD 14.6) and 60.5 years ols (SD 15.6,), respectively. The age range of diagnoses was 18 to 91. Of the 70 people who had more than 1 colonoscopy during this time period, 4 people initially had a diagnosis of collagenous colitis which was later switched to lymphocytic colitis, 7 had an initial diagnosis of lymphocytic colitis which was later switched to collagenous colitis, and 1 patient had an initial diagnosis of lymphocytic colitis, then switched to collagenous colitis, and later switched back to lymphocytic colitis. Conclusions In Manitoba over a 13 year time-period, 916 (9.8% of those where MC was considered) were diagnosed from colonic biopsy. Collagenous colitis was more common than lymphocytic colitis, with a similar age at the time of colonoscopy, along with both having a female predominance. Further research is needed to understand whether the clinical courses of collagenous and lymphocytic colitis differ, and how each sub-type responds to conventional treatment. Funding Agencies None
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it