Association of maternal risk factors with the recent rise of neural tube defects in Canada
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: We sought to assess the recent trend in NTD prevalence at birth in the post-folic acid food fortification era and to identify the maternal risk factors associated with that trend. METHODS: We carried out a population-based study of all livebirths and stillbirths (including late pregnancy terminations) delivered in hospitals in Canada (excluding Quebec) from 2004 to 2015 (n = 3 439 330). We examined NTD birth prevalence by year, multiple pregnancy, maternal age, parity, pregestational diabetes, chronic illness, and problematic substance use. Poisson regression was used to quantify the association between spina bifida and cranial defects and maternal characteristics and other risk factors. RESULTS: = 0.03). Birth prevalence of spina bifida was higher among younger mothers, those with type 2 diabetes (rate ratio (RR) 3.74, 95% confidence interval (CI) 2.21, 6.35), chronic illness (RR 3.16, 95% CI 1.97, 5.07), and problematic substance use (RR 1.88, 95% CI 1.31, 2.71). Adjusting for risk factors attenuated the significant temporal trend in spina bifida (unadjusted average annual prevalence ratio (aAAPR) 1.016, 95% CI 1.001, 1.032; adjusted AAPR 1.014, 95% CI 0.998, 1.029). CONCLUSIONS: Increases in the frequency of maternal risk factors such as pregestational diabetes mellitus, substance use, and chronic illness may be partly responsible for the recent rise in NTDs, particularly spina bifida.
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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 | 0.001 |
| 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