Maternal and neonatal outcomes in pregestational and gestational diabetes mellitus, and the influence of maternal obesity and weight gain: the DEPOSIT study
Bibliographic record
Abstract
We prospectively studied pregnancy outcome in 428 women with gestational diabetes mellitus (DM) and 196 women with pregestational DM, with particular reference to the influence of maternal obesity and excessive weight gain. These were consecutive singleton pregnancies delivered in our institution over 5 years. After controlling for multiple risk factors, including maternal BMI and pregnancy weight gain, women with pregestational DM were at increased risk (compared to those with gestational DM) for Caesarean delivery (OR 3.6, 95%CI 2.3-5.6), shoulder dystocia or cephalopelvic disproportion (OR 2.2, 95%CI 1.3-3.6), and gestational hypertension or toxaemia (OR 3.0, 95%CI 1.7-5.4). The offspring of these women were also at increased risk for admission to the neonatal intensive care unit (OR 4.0, 95%CI 2.3-6.8), large-for-gestational-age birthweight (OR 3.5, 95%CI 2.2-5.6), and preterm birth before 37 weeks (OR 3.8, 95%CI 2.5-5.9). Maternal obesity, and, to a lesser degree, excessive weight gain, were also independent risk factors for all these adverse maternal and neonatal outcomes, regardless of the type of DM, except for shoulder dystocia/cephalopelvic disproportion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".