Outcomes of singleton and twin pregnancies complicated by pre‐existing diabetes and gestational diabetes: A population‐based study in <scp>A</scp>lberta, <scp>C</scp>anada, 2005–11
Bibliographic record
Abstract
BACKGROUND: We assessed the prevalence and pregnancy outcomes of pre-existing diabetes mellitus (pre-DM) and gestational diabetes mellitus (GDM) in Alberta, Canada, 2005-11. METHODS: 327 198 singleton and 5552 twin pregnancies resulting in live births or stillbirths were included. The odds ratios of adverse outcomes were evaluated comparing pre-DM with no diabetes and GDM with no diabetes, controlling for maternal characteristics. RESULTS: Diabetes complicated 6.3% of pregnancies, with 88% being GDM. In singleton pregnancies, pre-DM and GDM were associated with increased risks of pre-eclampsia (adjusted odds ratio [aOR] = 3.38 and 1.83, respectively), cesarean delivery (aOR 2.53, 1.55), spontaneous preterm (aOR 4.20, 1.71), and labor-induced preterm (aOR 3.82, 2.00) in the mother, and macrosomia (aOR 2.11, 1.30), shoulder dystocia (aOR 1.54, 1.32), congenital anomalies (aOR 1.61, 1.20), and neonatal intensive care unit (NICU) admissions (aOR 3.81, 1.60) in the infants. In addition, pre-DM was associated with an increased likelihood of stillbirth (aOR 3.73) and neonatal death (aOR 2.00) compared with non-diabetic pregnancies. In twin pregnancies, pre-DM was associated with increased risks of spontaneous (aOR 3.54) and labor-induced (aOR 3.57) preterm births, large for gestational age (LGA) infants (aOR 3.73), congenital anomalies (aOR 3.05) and NICU admissions (aOR 2.91); GDM was associated with an increased risk of pre-eclampsia (aOR 1.54), cesarean delivery (aOR 1.57), and LGA infants (aOR 1.63). CONCLUSIONS: Pre-existing diabetes confers higher risks than GDM. Diabetes is associated with adverse outcomes in singleton and twin pregnancies, and the increased risks are generally similar or less in twins, probably due to their higher "baseline" risks and closer clinical monitoring.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".