Congenital heart defects and major structural noncardiac anomalies in Alberta, Canada, 1995–2002
Bibliographic record
Abstract
BACKGROUND: Although the majority of congenital heart defects (CHDs) occur in isolation, a significant number occur with noncardiac anomalies. This study determined the proportion of noncardiac anomalies among CHD cases in Alberta. METHODS: Records of infants and children born in Alberta between January 1, 1995, to December 31, 2002, were searched using multiple sources of ascertainment in addition to the Alberta Congenital Anomalies Surveillance System (ACASS) (Alberta Health and Wellness, 2012). Each case was assigned to one CHD category and was further categorized into one of the following groups: isolated CHD, syndromes, chromosomal, associations and sequences, teratogens, Mendelian, neoplasia, heterotaxy, multiple minor anomalies, and multiple major anomalies. RESULTS: Of all 3751 CHD cases (prevalence 12.42/1000 total births: confidence interval, 12.03-12.83), 75% were isolated, 10% had a chromosomal etiology, and 9% had multiple major anomalies. All other categories accounted for <2% each. The most commonly associated major noncardiac anomalies were musculoskeletal (MSK) (24%) followed by anomalies of the urinary tract (14%), gastrointestinal system (GI) (11%), and central nervous system (CNS) (11%). CONCLUSIONS: This is both a population-based and clinical study using a classification scheme that could help to determine possible etiologic factors contributing to CHD. By eliminating known etiologies such as chromosomal and single gene, future studies can focus on the remainder to evaluate possible preventive measures. The most commonly associated major noncardiac anomalies involve the MSK system, followed by the urinary, GI, and CNS systems.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".