Congenital abnormalities in newborns of women with pregestational diabetes: A time‐trend analysis, 1994 to 2009
Bibliographic record
Abstract
BACKGROUND: The main objective of the current study is to examine the trend of congenital abnormalities among children born by women with and without diabetes, and to explore the impact of food fortification by folic acid on the rate of birth defects among these two groups of mothers. METHODS: All children born alive in Ontario, Canada, during 1994 to 2009 and their mothers were included in study. Diagnosis of pregestational diabetes among mothers was identified using Diabetes registry, and diagnosis of birth defects among children were identified using hospital records. RESULTS: The prevalence of births among diabetic mothers increased by almost 200% during the study period. Among children born to mothers with diabetes, the prevalence for all anomalies combined was approximately 47% higher and for various cardiac and central nervous system anomalies up to a three- to fivefold higher than those born to nondiabetic mothers. While the rate of birth defects in both groups observed a considerable decline after food fortification in 1999, but the gap between two groups remained unchanged over time. CONCLUSION: While the prevalence of birth defects among diabetic pregnancies is still considerably higher that nondiabetic pregnancies, results of the current study indicate a declining trend in the prevalence of some congenital abnormalities among babies born to both diabetic and nondiabetic mothers after 1999. We need to be more aggressive in implementing preventive measures, including a national diabetes plan or the proposed universal policy of supra-dietary folic acid supplementation for women with diabetes who are of reproductive age. Birth Defects Research (Part A) 106:831-839, 2016. © 2016 Wiley Periodicals, Inc.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".