A Population-Based Analysis of Changes in Contemporary Management and Outcomes of Colonic Diverticulitis with the COVID-19 Pandemic
Bibliographic record
Abstract
This thesis presents analyses of administrative data in Ontario that defined (i) changes in the rates of emergency presentations and surgery for diverticulitis and (ii) contemporary management and outcomes of patients with diverticulitis, prior to and following onset of the COVID-19 pandemic. Compared to pre-pandemic trends, rates of emergency presentation and hospitalization for diverticulitis declined by 8% and 15% respectively, without an associated change in rates of urgent surgery. Among 24,759 patients with an index emergency presentation for diverticulitis, 9% and 5% of those hospitalized underwent urgent surgery and percutaneous drainage respectively, with no difference in the risk of urgent intervention between COVID-19 periods. Despite a reduced risk of undergoing scheduled colectomy following onset of COVID-19, the risk of recurrent diverticulitis requiring hospitalization or urgent surgery 1-year from index presentation discharge was low (cumulative incidence 7% and 1% respectively) and similar between COVID-19 periods, providing important insight into the contemporary natural history of diverticulitis.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".