Population-based Study of Hypertrophic Pyloric Stenosis in Canada: Investigating the National Changes in Surgical Practice and Outcomes From 2004 to 2021
Bibliographic record
Abstract
BACKGROUND: Hypertrophic pyloric stenosis (HPS) is an acquired condition that causes gastric outlet obstruction in infants and requires operative treatment. We sought to explore the epidemiology, operative management and outcomes of HPS in Canada. METHODS: Canadian Institute for Health Information (CIHI) data for ICD-10 code for HPS and Canadian Classification of Health Interventions (CCI) code for pyloromyotomy in Canada (excluding Quebec) from 2004 to 2021 were obtained with REB approval. Data from 2004 to 2009, 2010-2015 and 2016-2021 were compared using Pearson's chi-square tests. Continuous variables were analyzed with one-way ANOVA tests. Significance was noted for p < 0.05. RESULTS: 6809 infants less than 12 months of age underwent pyloromyotomy for HPS from 2004 to 2021. The number of pyloromyotomies decreased when normalized to the national birth estimates over the study periods. 12.7 % of pyloromyotomies were performed laparoscopically from 2004 to 2009, and this increased to 47.4 % during 2016-2021. Pediatric surgeons performed 61 % of pyloromyotomies in 2004-2009 and this increased to 98 % of pyloromyotomies during the 2016 to 2021 period. There were no differences in the total length of stay (LOS) outcomes in the overall cohort, however, there was a statistically significant increase in the preoperative LOS outcomes in Ontario and the Prairies throughout the study periods. CONCLUSIONS: Despite a relatively stable number of births over a 17-year period in Canada, the number of pyloromyotomies has decreased. In Canada, pyloromyotomies are increasingly performed laparoscopically and almost exclusively by pediatric surgeons, which reflects the regionalization of pediatric surgical care. TYPE OF STUDY: Retrospective study. LEVEL OF EVIDENCE: Level III.
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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 | 0.002 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".