Younger Age and Prognosis in Diverticulitis: A Nationwide Retrospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Traditionally regarded as a disease of the elderly, the incidence of diverticulitis of the colon has been on the rise, especially in younger cohorts. These patients have been found to experience a more aggressive disease course with more frequent hospitalization and greater need for surgical intervention. OBJECTIVE: To characterize factors that portend a poor prognosis in patients diagnosed with diverticulitis; in particular, to evaluate the role of demographic variables on disease course. METHODS: Using the Canadian Institute for Health Information Discharge Abstract Databases, readmission rates, length of stay, colectomy rates and mortality rates in patients hospitalized for diverticulitis were examined. Data were stratified according to age, sex and comorbidity (as defined by the Charlson index). RESULTS: In the cohort ≤30 years of age, a clear male predominance was apparent. Colectomy rate in the index admission, stratified according to age, demonstrated a J-shaped curve, with the highest rate in patients ≤30 years of age (adjusted OR 2.3 [95% CI 1.62 to 3.27]) compared with the 31 to 40 years of age group. In-hospital mortality increased with age. Cumulative rates of readmission at six and 12 months were 6.8% and 8.8%, respectively. CONCLUSION: In the present nationwide cohort study, younger patients (specifically those ≤30 years of age) were at highest risk for colectomy during their index admission for diverticulitis. It is unclear whether this observation was due to more virulent disease among younger patients, or surgeon and patient preferences.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".