Quantifying the Disability from Congenital Anomalies Averted Through Pediatric Surgery: A Cross‐Sectional Comparison of a Pediatric Surgical Unit in Kenya and Canada
Bibliographic record
Abstract
BACKGROUND: Pediatric surgical practice is different in low- and middle-income countries as compared to North America. While resources are limited, the impact of pediatric surgical procedures is significant. The objective of this study was to calculate and compare disability-adjusted life years (DALYs) averted in a Kenyan and Canadian surgical unit for a subset of pediatric congenital anomalies. METHODS: Medical records of children having undergone surgical procedures for 13 congenital conditions in both surgical units were collected over 12 months. DALYs for each condition were calculated using previously obtained disability weights derived in each country. Age-adjusted life expectancy rates from the WHO were used to determine years of life lost. Risk of permanent disability without surgery and probability of successful treatment values were obtained from the literature and included in the DALY calculation. RESULTS: The conditions accounting for the largest total number of averted DALYs in Kenya were hydrocephalus (60.8%) and spina bifida (18.1%), whereas in Canada they were hydrocephalus (24.2%) and undescended testes (19.2%). A total of 23,169 DALYs were averted through 1042 surgical procedures (22.2 DALYs per procedure) during the study period in Kenya, compared to 5497 DALYs through 373 procedures (14.7 DALYs per procedure) in Canada. CONCLUSIONS: Using recent developments in burden of disease measurement, the results point to the significant impact of pediatric surgical centers in addressing the global burden of congenital surgical disease. The study carries significant implications for resource allocation and training.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".