Rising Incidence of Childhood Intussusception in Ontario: A Population-Based Study From 1997-2016
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
Background Intussusception is the most common cause of bowel obstruction in children aged 3 months to 6 years of age. We sought to describe patterns of incident childhood intussusception. Methods A retrospective longitudinal cohort study utilizing population-based health administrative data and a validated case definition was used to identify patients <18 years of age treated for intussusception between January 1, 1997 and December 31, 2016 in Ontario, Canada. Descriptive statistics, graphical analyses, and a Poisson regression model were performed for trend analysis. Results The overall incidence of intussusception in Ontario children (<18 years) was 3.3 cases/100,000 child years (cyrs), 95% CI [3.2.3.5]. The overall incidence increased from .9 cases/100,000 cyrs to 2.3 cases/100,000 cyrs. The highest incidence was in children aged 6-12 months at 28.9 cases/100,000 cyrs, 95% CI [26.2.31.9]. Incidence increased in all age-groups between 6 months and 5 years (at a rate of 5% to 16% per year; all P < .05). Month of year did not predict intussusception counts in a log-linear Poisson models, nor did rotavirus immunization implementation in 2011. There was a 3-fold variability across geographic areas in the province. There was a high rate of readmission for recurrence within 1 year (10.7%). Conclusion The incidence of intussusception more than doubled in Ontario from 1997 to 2016. The incidence increased for children aged between 6 months and 5 years at a rate of 5-16% per year, suggesting that an increased rate of idiopathic intussusception is responsible for the increase in the province.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it